Masters of Business Administration with Specialization in Artificial Intelligence - IBM
To understand the latest trends of Business, for doing the Market Research using Data Mining Tools and Machine Learning techniques can be accomplished through this course. These courses will help the students to become the emerging Data Scientists of the modern era. The ulterior motive of CTU is to make its students technically strong and bridge the gap of academia and industry.
Data Visualization with Python
Business Intelligence
Artificial Intelligence
Sectoral Analytics
Predictive Analytics
Graduation in any discipline from a recognized university with atleast 50% marks(5% relaxation for SC Category)
Merit in CT-SET, subject to fulfilling eligibility criteria.
2 Years
Duration: 3 Years
Duration: 4 Years
Duration: 2 Years
Duration: 3 Years
Duration: 5 Years
Duration: 3 Years
Develops understanding of management functions and organizational behaviour, including individual, group and organizational dynamics.
CO1: Understand management principles and foundations of organizational behaviour.
CO2: Apply managerial functions in organizational settings.
CO3: Analyse individual behaviour and motivation in organizations.
CO4: Examine group behaviour, leadership effectiveness, and conflict resolution.
CO5: Evaluate organizational culture and change interventions.
CO6: Assess contemporary workplace challenges and employee well-being strategies.
Develops understanding of accounting principles and financial information for managerial planning, control and decision-making.
CO1: Recall the importance and scope of accounting, interpret accounting concepts, conventions and standards, and distinguish the rules and types of accounts used in financial reporting.
CO2: Prepare journals, subsidiary books, ledgers and trial balance, and construct financial statements with necessary adjustments.
CO3: Record and account for the issue of shares at par and premium, debentures, and preference shares in corporate entities.
CO4: Apply tools of financial analysis including common size statements, comparative statements, and ratio analysis to evaluate liquidity, profitability, solvency and activity of a firm.
CO5: Explain cost concepts and classification, analyse cost-volume relationships and break-even analysis, and distinguish between cost accounting and management accounting.
CO6: Evaluate advanced costing techniques such as life-cycle costing, target costing, kaizen costing, ABC, human resource accounting, and back-flush accounting for managerial decision making.
Applies economic concepts and analytical tools to managerial decision-making and business problems.
CO1: Understand the fundamental concepts and scope of managerial economics and its integration with other business disciplines.
CO2: Apply various methods to measure price elasticity of demand and use these measurements in business scenarios.
CO3: Evaluate the practical applications of production theory in managerial decision-making.
CO4: Analyze the impact of different market structures on price and output decisions
CO5: Apply methods of measuring national income and analyze their importance in the economic context.
CO6: Evaluate risks associated with long-term investments using capital budgeting techniques
Introduces the legal framework and business environment affecting managerial decisions and organizational operations.
CO1: Develop comprehensive understanding of the legal aspects of business and contracts, covering various types of law, contract essentials, consideration, free consent, contract validity, discharge, arbitration, and conciliation processes for effective business transactions and dispute resolution.
CO2: Understand and familiarize students with the Companies Act 2013, covering company characteristics, types, formation, director appointments, powers, duties, liabilities, meetings, and dealing with oppression and mismanagement issues.
CO3: Develop in-depth understanding of Intellectual Property Rights (IPR), including patents, copyrights, trademarks, designs, trade secrets, their definitions, registration, infringement, and advantages/disadvantages for effective IP protection and management.
CO4: Analyse the IT Act 2000 and Consumer Protection Act, focusing on their objectives, definitions, e-governance, offenses, penalties, consumer rights, forums, jurisdiction, and available remedies for effective legal compliance and consumer protection.
CO5: Evaluate India's socio-political-economic factors, policies, and demographic structure for informed business decisions
Develops statistical skills for analysing, interpreting and presenting data for managerial decision-making.
CO1: Develop a solid understanding of fundamental statistical concepts such as probability, hypothesis testing, and regression analysis.
CO2: Create an ability to use descriptive statistical methods to summarize and present data effectively through measures like despersion, variance, and standard deviation.
CO3: Understand how to formulate and test hypotheses to make data-driven decisions and evaluate the significance of results.
CO4: Understand the popular analytics tools and software such as Excel, or statistical packages like SPSS.
CO5: Analyse how to perform regression analysis to model relationships between variables and make predictions.
Develops communication, interpersonal, leadership and professional skills required for corporate environments.
CO1: Demonstrate communicative competence in English language for business scenarios viz presentation, business correspondence and report writing.
CO2: Usage of error-free spoken utterances and standard English expressions.
CO3: Demonstrate effective business writing skills through guided and free writing practice
CO4: Application of focussed and effective listening skills in business contexts
CO5: Demonstrate effective presentation skills in English Language
CO6: Actively participate in group discussions towards gainful employment.
Develops understanding of production systems, process management, quality, capacity and operational efficiency.
CO1: Understand the concepts, functions, and strategic importance of production and operations management.
CO2: Analyze facility location, layout, and capacity decisions in manufacturing and service organizations.
CO3: Apply forecasting, production planning, scheduling, and resource planning techniques in operations management.
CO4: Evaluate purchasing, lean operations, and continuous improvement practices for enhancing operational efficiency.
CO5: Apply quality management principles and project management techniques in business operations.
CO6: Analyze inventory and supply chain management practices and understand the role of operations analytics and digital technologies in modern operations management
Examines ethical decision-making, corporate responsibility, stakeholder interests and responsible business practices.
CO1: To integrate and apply contemporary Ethics & Governance issues in a business context
CO2: To analyse and apply ethics to contemporary business practices.
CO3: To analyse key perspectives on corporate social responsibility and their application
CO4: To evaluate different corporate ownership structures and their key governance features.
CO5: To understand the ethical decision making, ethical reasoning, the dilemma resolution process.
CO6: To analyse and apply corporate governance perspectives to contemporary business practices.
Develops practical skills in using Python to analyse, visualize and communicate business data effectively.
CO1: Explain the concepts, principles, and importance of data visualization in analysing and communicating data-driven insights.
CO2: Apply Python programming concepts and relevant libraries for data handling, preparation, and visualization.
CO3: Create appropriate visual representations, including bar charts, line charts, histograms, scatter plots, and other graphical displays.
CO4: Analyse and interpret data patterns, trends, distributions, and relationships through effective visualizations.
CO5: Select suitable visualization techniques based on the nature of data and analytical objectives.
Provides hands-on experience in Python-based data visualization, data manipulation and graphical presentation of business information.
CO1: Apply Python programming skills to import, clean, transform, and prepare datasets for visualization.
CO2: Use Python libraries such as Matplotlib, Seaborn, and Plotly to create different types of data visualizations.
CO3: Develop appropriate charts, graphs, and interactive visualizations based on dataset characteristics and analytical requirements.
CO4: Analyse and interpret patterns, trends, distributions, and relationships identified through visual analysis.
CO5: Design and present effective data visualization reports and dashboards to communicate actionable insights and support decision-making.
Develops understanding of financial planning, investment, financing, working capital and financial decision-making.
CO1: Comprehend the fundamental concepts and principles of financial management.
CO2: Evaluate investment opportunities using various capital budgeting techniques.
CO3: Determine the cost of capital and its impact on financial decision-making.
CO4: Analyse and develop strategies for optimal capital structure.
CO5: Understand and manage working capital requirements effectively.
Develops understanding of marketing strategy, consumer needs, segmentation, marketing mix and market-oriented decisions.
CO1: Understand the fundamental concepts, principles, and environmental factors influencing marketing decisions.
CO2: Analyze consumer behaviour and apply segmentation, targeting, and positioning strategies in different market contexts.
CO3: Evaluate marketing mix decisions relating to product, price, place, and promotion strategies.
CO4: Apply marketing communication and customer relationship management strategies to enhance customer value and engagement.
CO5: Analyze marketing channel decisions, retailing strategies, and the role of analytics in marketing decision-making.
CO6: Understand contemporary marketing practices and emerging trends shaping the modern marketing environment.
Develops understanding of recruitment, training, performance, compensation and strategic human resource practices.
CO1: Explain the key concepts, objectives, functions, and scope of Human Resource Management
CO2: Assess the concepts and methods of job analysis, including job description, job specification, and job evaluation
CO3: Examine the various methods and techniques of performance appraisal and the essentials of an effective performance appraisal system.
CO:4 Describe the elements and methods of wage and salary administration, incentive plans, and fringe benefits.
CO5: Develop innovative approaches to leadership development, talent management, employee engagement, and workplace flexibility to enhance organizational performance
Develops quantitative techniques for solving managerial problems involving optimization, allocation and decision-making.
CO1: Apply linear programming techniques to formulate and solve real-world optimization problems, including transportation models.
CO2: Solve assignment problems using the Hungarian method and handle variations like unbalanced problems and travelling salesman problems.
CO3:Analyze and solve sequencing problems and game theory models for optimal decision-making strategies.
CO4:Interpret and apply queuing theory models to assess service systems and optimize queue management.
CO5:Demonstrate the ability to model and solve complex operational problems using mathematical tools and techniques for effective decision-making.
Develops logical, quantitative and analytical abilities for managerial problem-solving and evidence-based decisions.
CO1: Apply logical reasoning to understand, interpret and handle different situations
CO2: Interpret and efficiently solve the company specific reasoning test
CO3: Reproduce the concepts learned to solve various questions of quantitative and reasoning aptitude
CO4: Deduce aptitude and reasoning problems using shortcut tricks
CO5: Identify the concepts to solve the problems in given time
CO6: Integrate and apply different quantitative and reasoning strategies in mock test scenarios
Provides specialized knowledge and application-oriented skills in the first selected specialization.
Provides specialized knowledge and application-oriented skills in the second selected specialization.
Provides practical exposure for applying specialized concepts through hands-on activities and analytical exercises.
Develops skills in research problem formulation, research design, data collection, analysis and business research reporting.
CO1: Explain research approaches, formulate research problems, and set objectives through literature review and research gap identification.
CO2: Formulate hypotheses, select appropriate research designs, and apply probability and non-probability sampling techniques.
CO3: Identify data sources, apply measurement scales, and distinguish between comparative and non-comparative scaling techniques.
CO4: Design questionnaires, evaluate reliability and validity of data, and perform data processing and graphical analysis using SPSS.
CO5: Apply T-Test, Chi-Square and ANOVA using SPSS, and conduct correlation, regression and factor analysis for data interpretation.
CO6: Structure a research report, apply APA, MLA or Harvard referencing styles, and demonstrate academic integrity by avoiding plagiarism.
Enables students to apply management and analytical concepts to a practical business problem through structured project work.
Enhances employability and professional readiness through structured workplace and career-development activities.
Introduces data science concepts, methods and tools for extracting insights and supporting data-driven business decisions.
Course Outcome:
CO1: Explain the fundamental concepts, processes, and applications of data science in business and managerial decision-making.
CO2: Apply appropriate techniques for data collection, cleaning, transformation, and exploratory data analysis.
CO3: Analyse datasets using statistical, analytical, and basic machine learning techniques to identify patterns and insights.
CO4: Evaluate suitable data science methods and models for solving real-world business problems.
CO5: Interpret and communicate analytical findings to support data-driven decision-making.
Develops understanding of BI tools and techniques for transforming business data into actionable managerial insights.
Course Outcome:
CO1: Explain the concepts, components, architecture, and significance of Business Intelligence in organisational decision-making.
CO2: Analyse processes related to data collection, integration, storage, and management for generating business insights.
CO3: Apply analytical techniques to identify patterns, trends, and Key Performance Indicators from business data.
CO4: Evaluate the role of data warehousing, data mining, reporting, dashboards, and visualisation in Business Intelligence.
CO5: Use Business Intelligence concepts and tools to support strategic, tactical, and operational decision-making.
Provides hands-on experience with business intelligence tools, data preparation, dashboards and analytical reporting.
Course Outcome:
CO1: Apply appropriate Business Intelligence tools to collect, organise, clean, and prepare data for analysis.
CO2: Perform data transformation, integration, and analysis using relevant Business Intelligence techniques.
CO3: Create interactive reports, dashboards, and visualisations to communicate business insights effectively.
CO4: Analyse business datasets to identify trends, patterns, Key Performance Indicators, and actionable insights.
CO5: Develop and present data-driven solutions to support real-world business and managerial decision-making.
Develops a human-centred approach to identifying problems, generating ideas, prototyping and developing innovative solutions.
Course Outcome:
CO1: Explain the concepts, principles, stages, and significance of Design Thinking in problem-solving and innovation.
CO2: Apply empathy and user-centric approaches to understand stakeholder needs and define real-world problems.
CO3: Generate creative and innovative solutions using appropriate ideation techniques.
CO4: Develop and evaluate prototypes through testing and iterative feedback.
CO5: Apply Design Thinking principles to develop feasible, innovative, and user-centred solutions for business challenges.
CO6: Evaluate the effectiveness of Design Thinking as an approach for innovation and organisational problem-solving.
Provides practical experience in applying design-thinking tools through ideation, prototyping and problem-solving exercises.
Course Outcome:
CO1: Apply empathy tools and techniques to understand users and identify real-world problems.
CO2: Develop clear problem statements based on user needs and contextual analysis.
CO3: Use ideation techniques to generate, evaluate, and select innovative solutions.
CO4: Develop prototypes and conduct testing to gather user feedback and refine proposed solutions.
CO5: Design and present an end-to-end innovative solution by applying the complete Design Thinking process.
Applies analytical techniques to digital marketing data for campaign evaluation, customer insights and decision-making.
Course Outcome:
CO1: Explain the concepts, scope, and significance of digital marketing analytics in evaluating online marketing performance.
CO2: Identify and analyse relevant digital marketing data, metrics, and Key Performance Indicators related to websites, social media, search engines, and online campaigns.
CO3: Apply appropriate analytical techniques to examine customer behaviour, campaign performance, engagement, conversion, and return on marketing investment.
CO4: Use data visualisation and analytical tools to interpret digital marketing data and generate actionable insights.
CO5: Evaluate digital marketing performance and develop data-driven recommendations for improving marketing effectiveness.
CO6: Assess ethical, privacy, security, and responsible data-use issues in digital marketing analytics.
Explores the use of game-based principles and mechanisms to improve engagement, learning, customer experience and business outcomes.
Course Outcome:
CO1: Explain the concepts, principles, elements, and significance of gamification in business and organisational contexts.
CO2: Analyse the role of game mechanics, motivation, engagement, rewards, and behavioural design in influencing customer and employee behaviour.
CO3: Apply gamification principles to areas such as marketing, customer engagement, employee motivation, learning, and performance management.
CO4: Design gamified solutions by integrating appropriate game elements, user experiences, and business objectives.
CO5: Evaluate the effectiveness, challenges, ethical issues, and limitations of gamification strategies in achieving organisational goals.
Examines management practices, products and strategic operations within financial services institutions.
Course Outcome:
CO1: Understand the financial services industry and depository system in India.
CO2: To analyse the performance of the various financial instruments such as Mutual Funds.
CO3: Know about the various credit rating agencies in India and their functions.
CO4: Employing the knowledge of financial services to choose between lease, buy or hire-purchase.
CO5: Evaluating the different investment vehicles on the basis of credit ratings.
CO6: To structure and appraise the debt securitisation deals for the business
Develops skills in analysing securities and constructing portfolios based on risk, return and investment objectives.
Course Outcome:
CO1: Understand the fundamentals of investment, Security markets,its alternatives, regulatory authorities and the system of investment in India and global markets.
CO2: Apply techniques for Risk Assessment and security valuation, to determine intrinsic value and assess investment opportunities.
CO:3 Analyse macroeconomic and microeconomic factors, industry trends, and company performance for fundamental analysis.
CO:4 Evaluate securities using technical analysis tools and chart patterns to forecast price movements and investment trends.
CO5: Construct an efficient portfolio by applying modern portfolio theory, risk-return analysis, and diversification principles
CO6: Assess portfolio performance using measures such as Sharpe, Treynor, and Jensen’s Alpha, and recommend necessary revisions.
Introduces operational processes, products, risk management and service delivery in banking and insurance.
Course Outcome:
CO1: Explain the fundamental concepts, structure, functions, and operational processes of banking and insurance institutions.
CO2: Analyse key banking operations, including deposit mobilisation, lending, payment systems, customer services, and digital banking.
CO3: Examine insurance operations related to underwriting, policy issuance, premium collection, claims management, and customer service.
CO4: Apply relevant banking and insurance products and operational procedures to address customer and organisational requirements.
CO5: Evaluate the role of technology, regulatory compliance, risk management, and security in banking and insurance operations.
CO6: Analyse contemporary challenges and emerging trends in banking and insurance to support efficient, customer-centric, and sustainable financial services.
Develops understanding of marketing strategies for intangible services, customer experience and service quality.
Course Outcome:
CO-1: Understand the concepts of services and intangible products
CO-2: Relevance and scope of the service industry
CO-3: Characteristics of service industry and operations
CO-4: Relevance of Service Quality.
CO-5: The future of the service industry
Examines psychological, social and cultural factors influencing consumer decisions and purchasing behaviour.
Course Outcome:
CO1: Understand the rationale for studying consumer behaviour.
CO2: Evaluate the factors which influence consumer behaviour inclusive of society and culture.
CO3: Demonstrate how knowledge of consumer behaviour can be applied to marketing.
CO4: Develop understanding of external factors influencing consumer behaviour.
CO5: Create the capability to work both independently and in a team environment employing inquiry processes to complete marketing projects.
Develops understanding of retail strategies, customer management, merchandising and retail operations.
Course Outcome:
CO1: Explain the concepts, scope, functions, and significance of retail marketing in the contemporary business environment.
CO2: Analyse retail consumer behaviour, market trends, and factors influencing retail purchase decisions.
CO3: Apply appropriate retail marketing strategies related to merchandise management, pricing, store location, retail formats, and customer service.
CO4: Evaluate the role of store design, visual merchandising, branding, and retail communication in enhancing customer experience.
CO5: Examine the impact of technology, e-commerce, omnichannel retailing, and analytics on modern retail marketing.
CO6: Develop effective retail marketing strategies to enhance customer satisfaction, loyalty, competitive advantage, and retail performance.
Introduces HR information systems and digital tools used to manage workforce information and HR processes.
Course Outcome:
CO1: Explain the concepts, components, and strategic importance of Human Resource Information Systems. (Understand)
CO2: Apply HRIS tools and techniques to manage core HR functions effectively. (Apply)
CO3: Analyze HRIS applications in talent acquisition, performance management, and workforce planning. (Analyze)
CO4: Evaluate HR metrics and analytics for supporting strategic HR decisions. (Evaluate)
CO5: Examine the role of emerging technologies such as AI, cloud computing, and automation in HRIS. (Analyze)
CO6: Design HRIS-based solutions while addressing data security, ethical issues, and future HR technology trends. (Create)
Develops strategies for attracting, developing, evaluating and retaining organizational talent.
Course Outcome:
CO1: Understand the process of acquiring and retaining talent.
CO2: Analyse the interplay between various aspects of Talent Acquisition, retention and development of talent.
CO3: Develop the competence required to work effectively by Star employees.
CO4: Identify the various challenges and issues to manage young talented employees.
CO5: Critically evaluate the performance Indices & also identify some of the common problems with the performance appraisal process.
CO6: Ability to link Reward System with Performance Management
Focuses on employee development, learning, training, career development and organizational capability building.
Course Outcome:
CO1: Explain the concepts, scope, objectives, and significance of Human Resource Development in enhancing individual and organisational effectiveness.
CO2: Analyse the role of HRD systems, policies, and practices in developing employee competencies and organisational capabilities.
CO3: Apply appropriate methods for assessing employee development needs and designing HRD interventions.
CO4: Evaluate various HRD techniques, including training, coaching, mentoring, career planning, performance management, and organisational development.
CO5: Examine contemporary issues and emerging trends in Human Resource Development, including digital learning, talent development, and employee empowerment.
CO6: Develop strategic HRD plans and interventions to enhance employee performance, career growth, and organisational effectiveness.
Develops understanding of foreign trade procedures, policies, regulations and international business operations.
Course Outcome:
CO1: Explain the theoretical foundations of international trade including mercantilism, comparative advantage, gains from trade, and terms of trade.
CO2: Analyse the costs and benefits of FDI to host and home countries and evaluate government policy instruments, CSR obligations, and future trends in FDI.
CO3: Classify instruments of commercial policy including tariffs and non-tariff barriers and appraise the role of WTO in anti-dumping and dispute settlement.
CO4: Explain India's Foreign Trade Policy 2023 and describe the roles of DGFT, Export Promotion Councils, SEZs, and EOUs in regulating foreign trade.
CO5: Distinguish between levels of regional economic integration and evaluate India's trade agreements with ASEAN, SAFTA, EU, and SAARC.
CO6: Appraise emerging trends in digital trade, global value chains, GATS, green trade policies, and assess the impact of geopolitical developments on India's trade prospects
Develops knowledge of export-import procedures, documentation, trade regulations and cross-border transactions.
Course Outcome:
CO1: Understand the fundamental concepts, structure, and policy environment of export-import management.
CO2: Demonstrate knowledge of operational steps in handling export and import shipments.
CO3: Apply knowledge of documentation and logistics in international trade.
CO4: Analyze export finance mechanisms and evaluate suitable international payment terms.
CO5: Evaluate government schemes and institutional support for enhancing export competitiveness.
CO6: Interpret customs procedures and assess India's policy efforts in building export readiness.
Develops skills for managing cultural diversity and organizational practices across international environments.
Course Outcome:
CO1: Explain the concepts, scope, importance, and key dimensions of culture and cross-cultural management in the global business environment.
CO2: Analyse the influence of cultural differences on individual behaviour, communication, leadership, motivation, and decision-making.
CO3: Examine major cross-cultural frameworks and theories for understanding cultural diversity and differences across nations.
CO4: Apply appropriate cross-cultural communication and management strategies to address challenges in diverse and multicultural workplaces.
CO5: Evaluate the impact of culture on international business practices, negotiations, teamwork, expatriate management, and organisational performance.
CO6: Develop cultural intelligence and inclusive management strategies for effectively managing employees and stakeholders across diverse cultural contexts.
Develops understanding of e-commerce models, platforms, digital transactions and online business operations.
Course Outcome:
CO1: Understand the evolution, concepts, and impact of e-commerce and digital business on organizations and consumers.
CO2: Identify and apply appropriate technologies and digital infrastructure used in e-commerce operations.
CO3: Analyze various e-commerce business models, platform strategies, and applications of e-commerce across industries.
CO4: Evaluate e-commerce marketing strategies and customer management practices in digital environments.
CO5: Apply operational, analytical, and emerging technology concepts in managing e-commerce businesses.
CO6: Understand the legal, ethical, privacy, and regulatory frameworks governing e-commerce and digital business.
Introduces digital marketing tools and technologies used for campaign development, customer engagement and performance tracking.
Course Outcome:
CO1: Understand the fundamentals of digital marketing, its evolution, key concepts, and ethical considerations.
CO2: Develop engaging content tailored to various digital platforms using strategic and AI-driven approaches.
CO3: Apply web marketing techniques including SEO, web analytics, and content optimization for increased online visibility.
CO4: Implement social media marketing strategies across major platforms using analytics and campaign tools.
CO5: Explore freelancing opportunities and execute digital marketing tactics like email, affiliate, and mobile marketing.
CO6: Utilize e-commerce platforms and digital tools for payment, inventory, CRM, and product information management.
Applies analytics to e-commerce data for understanding customers, transactions, sales and digital business performance.
Course Outcome:
CO1: Explain the concepts, scope, and significance of e-commerce analytics in understanding online business performance and consumer behaviour.
CO2: Identify and analyse key e-commerce data sources, metrics, and Key Performance Indicators (KPIs) related to traffic, conversion, sales, customer acquisition, and retention.
CO3: Apply appropriate analytical techniques to examine customer behaviour, purchase patterns, website performance, and digital marketing effectiveness.
CO4: Use data visualisation and analytical tools to interpret e-commerce data and generate meaningful business insights.
CO5: Evaluate e-commerce performance and develop data-driven recommendations for improving customer experience, conversion rates, and business outcomes.
CO6: Assess issues related to data privacy, security, ethics, and responsible use of customer and transactional data in e-commerce analytics.
Examines entrepreneurial approaches to addressing social and community problems through sustainable ventures.
Course Outcome:
CO1: Understand the fundamental concepts and principles of social entrepreneurship and distinguish it from traditional entrepreneurship.
CO2: Identify and assess the characteristics, roles, and impacts of social entrepreneurs and social enterprises in developing countries and India.
CO3: Apply various models and frameworks to the social entrepreneurship process and identify sources of social entrepreneurship.
CO4: Analyze real-life case studies of social entrepreneurship in practice and understand the challenges and ethical considerations involved.
CO5: Evaluate the role of women in social entrepreneurship, understand the promotional strategies, and the roles of various sectors in developing women social entrepreneurs.
Develops strategic approaches for identifying opportunities, building ventures and achieving entrepreneurial growth.
Course Outcome:
CO1: Explain the concepts, scope, and significance of entrepreneurial strategy in identifying and exploiting business opportunities.
CO2: Analyse the internal and external environment to identify entrepreneurial opportunities, challenges, and competitive advantages.
CO3: Apply strategic frameworks and tools to formulate effective strategies for new ventures and entrepreneurial enterprises.
CO4: Evaluate alternative growth, innovation, competitive, and market-entry strategies for entrepreneurial ventures.
CO5: Analyse the role of resources, capabilities, networks, and strategic partnerships in achieving entrepreneurial success.
CO6: Develop appropriate entrepreneurial strategies to address business uncertainties, manage risks, and achieve sustainable growth and competitive advantage.
Develops understanding of funding sources, financial planning, valuation and financial decisions in entrepreneurial ventures.
Course Outcome:
CO1: Understand the financial principles and lifecycle of entrepreneurial ventures.
CO2: Evaluate funding sources, analyze financial performance, and prepare statements.
CO3: Develop financial plans and analyze the cost of capital and risk.
CO4: Apply methods for early-stage venture valuation and capital structuring.
CO5:Examine the role of government schemes, grants, and institutional financing for entrepreneurial growth.
Examines digital banking models, technologies, services and customer-centric digital financial solutions.
Course Outcome:
CO1: Understand the banking and finance system in India.
CO2: Acquaint commercial bank and its product.
CO3: Build customer relationships in banking sector.
CO4: Well verse with e-banking services and internet Banking.
Introduces blockchain technology, decentralized systems and cryptocurrency concepts and applications.
Course Outcome:
CO1: Understand and apply the concept of blockchain in various business processes.
CO2: Construct strategies for the trading of cryptocurrencies.
CO3: Build a cryptocurrency-based investment portfolio
CO4: Analyse the various aspects of blockchain and hyper ledger.
Examines analytical approaches to fraud detection along with legal and regulatory aspects of cyber activities.
Course Outcome:
CO1: Understand the fundamental concepts of financial fraud, fraud analytics, and cyber law in the FinTech context.
CO2: Identify and classify various types of digital frauds and cybersecurity threats affecting financial systems.
CO3: Apply basic fraud detection techniques using analytical tools like Excel and Power BI.
CO4: Analyze financial data to detect anomalies and red flags indicating potential fraud.
CO5: Interpret and apply relevant Indian and global cyber laws, data protection regulations, and compliance guidelines.
CO6: Evaluate real-life fraud cases and propose appropriate legal and analytical responses using conceptual knowledge.
Introduces planning, design, infrastructure and maintenance considerations for efficient hospital facilities.
Course Outcome:
CO1: Understanding the Planning and Organisation of the hospitals
CO2: Understanding the method of the planning and organization of the hospital
CO3: Understanding the designing of the various non clinical / support departments in the hospitals
CO4: Understanding the designing of hospital including green hospitals
CO5: Understanding the Hospital Standards and implementing as per latest safety guidelines
Introduces epidemiological concepts and statistical methods used for analysing health and healthcare data.
Course Outcome:
CO1: Explain the fundamental concepts, scope, and significance of epidemiology and biostatistics in public health and healthcare decision-making.
CO2: Describe the patterns, distribution, determinants, and measures of disease occurrence in populations.
CO3: Apply basic epidemiological methods and study designs to investigate health-related problems.
CO4: Apply appropriate biostatistical techniques for collecting, organising, summarising, and presenting healthcare data.
CO5: Analyse and interpret basic statistical measures and epidemiological indicators to support evidence-based healthcare decisions.
Develops understanding of procurement, inventory, storage and distribution of materials in healthcare organizations.
Course Outcome:
CO1: The Student should be familiar with the inventory and the various method of control and purchase Management
CO2: To Understand how information management can be helpful Procurement and Operation.
CO3: Students Assets Awareness – Asset. Management – Planning Purchases, control Storage , Management , Packing and Distribution and Generalisation
CO4: Use of MRP, PLM in Building Material.
Introduces fundamental concepts, components, trends and principles of tourism management.
Course Outcome:
CO1: Explain the fundamental concepts, nature, scope, and significance of tourism and its role in economic and social development.
CO2: Analyse the major components, types, and characteristics of the tourism system and tourism industry.
CO3: Examine the factors influencing tourism demand, destination development, and tourist behaviour.
CO4: Evaluate the economic, socio-cultural, and environmental impacts of tourism.
CO5: Apply fundamental principles of tourism planning and sustainable tourism for effective destination development.
Examines management functions and human behaviour in hospitality organizations and service environments.
Course Outcome:
CO1: Explain the fundamental management functions and their significance in hospitality organisations.
CO2: Apply planning, organising, staffing, directing, and controlling principles to hospitality operations.
CO3: Analyse individual and group behaviour, motivation, communication, leadership, and teamwork in hospitality workplaces.
CO4: Evaluate the influence of organisational culture, conflict, and workplace behaviour on employee and service performance.
Explores food, cuisine and culinary experiences as tourism products and drivers of destination development.
Course Outcome:
CO1: Explain the concepts, scope, characteristics, and significance of culinary tourism in the tourism and hospitality industry.
CO2: Analyse the role of local food, cuisine, culture, heritage, and gastronomic experiences in attracting tourists.
CO3: Examine different forms and destinations of culinary tourism, including food festivals, culinary trails, and gastronomic experiences.
CO4: Evaluate the economic, cultural, and sustainable development potential of culinary tourism.
CO5: Develop innovative culinary tourism experiences and strategies for destination promotion and enhanced tourist satisfaction.
Develops understanding of project planning, scheduling, resource allocation, risk management, execution and project control.
CO1: Comprehend basics of project management, design, development, and feasibility study of project
CO2: Develop a systems approach in carrying out various projects in business organization by emphasizing on optimum utilization of resources
CO3: Analyze the risks involved in Project Management.
CO4: Perform Project monitoring, controlling and performance measures.
CO5: Leverage the use of technological features in Project management and control & Prepare project plans, schedules, allocations of resources, cost and financing of project.
Develops understanding of strategic analysis, competitive positioning, strategy formulation, implementation and evaluation.
CO1: Explain the fundamental concepts, process, scope, and significance of strategic management in achieving organisational objectives.
CO2: Analyse the internal and external business environment using appropriate strategic analysis tools and frameworks.
CO3: Formulate suitable business-level, corporate-level, and functional-level strategies to address organisational opportunities and challenges.
CO4: Evaluate strategic alternatives and make informed decisions for achieving sustainable competitive advantage.
CO5: Apply appropriate approaches for strategy implementation, evaluation, and control in dynamic business environments.
CO6: Develop strategic solutions to address contemporary business challenges and enhance long-term organisational performance.
Develops the ability to document, analyse and present learning and outcomes gained from practical industry exposure.
Develops advanced knowledge and application-oriented skills in the first selected specialization.
Builds further specialized competencies through advanced concepts and practical applications.
Strengthens specialized knowledge and problem-solving capabilities in the first selected specialization.
Develops advanced knowledge and application-oriented skills in the second selected specialization.
Provides hands-on learning and practical application of concepts related to the second specialization.
Builds advanced conceptual and practical capabilities in the second selected specialization.
Provides practical experience through exercises, tools and application-based learning.
Further develops specialized competencies and application skills in the second selected specialization.
Develops research capabilities through problem identification, literature review, research methodology and initial investigation.
Develops advanced employability, communication and professional workplace competencies.
Applies analytics to sector-specific business problems to generate insights and support strategic decisions.
Course Outcome:
CO1: Explain the concepts, scope, and significance of sectoral analytics in addressing industry-specific business challenges.
CO2: Identify relevant data sources, Key Performance Indicators (KPIs), and analytical requirements across different industry sectors.
CO3: Apply appropriate analytical techniques to examine sector-specific business problems, trends, and opportunities.
CO4: Analyse sectoral data to evaluate performance, identify patterns, assess risks, and generate actionable insights.
CO5: Develop data-driven recommendations and strategies to support sector-specific decision-making and business planning.
Provides practical experience in analysing sector-specific datasets and developing analytical outputs.
Course Outcome:
CO1: Apply appropriate analytical tools and techniques to collect, prepare, and analyse sector-specific datasets.
CO2: Develop visualisations, dashboards, and analytical reports to examine sectoral performance and trends.
CO3: Apply relevant KPIs and analytical measures to evaluate performance within selected industry sectors.
CO4: Interpret analytical findings to identify actionable insights, opportunities, risks, and sector-specific challenges.
CO5: Develop and present data-driven solutions for real-world problems in selected industry sectors.
Introduces predictive modelling techniques for forecasting outcomes and supporting data-driven business decisions.
Course Outcome:
CO1: Explain the concepts, scope, and significance of predictive analytics in business and managerial decision-making.
CO2: Apply appropriate techniques for data preparation, feature selection, and exploratory analysis for predictive modelling.
CO3: Analyse and apply predictive techniques such as regression, classification, and forecasting to business problems.
CO4: Develop and interpret predictive models to identify future trends, outcomes, and patterns.
CO5: Evaluate the performance, accuracy, and limitations of predictive models using appropriate evaluation measures.
CO6: Apply predictive analytics techniques to develop data-driven solutions for real-world business problems.
Provides hands-on experience in developing and evaluating predictive models using business datasets.
Course Outcome:
CO1: Apply appropriate tools and techniques to collect, clean, transform, and prepare data for predictive analysis.
CO2: Develop predictive models using techniques such as regression, classification, and forecasting.
CO3: Perform model training, testing, validation, and evaluation using suitable performance measures.
CO4: Interpret predictive results and communicate forecasts and insights using appropriate visualisations and reports.
CO5: Develop and present practical predictive analytics solutions for real-world business problems.
Examines AI concepts and applications for improving business processes, decision-making and organizational performance.
Course Outcome:
CO1: Explain the fundamental concepts, scope, and applications of Artificial Intelligence in contemporary business.
CO2: Analyse the role of AI technologies, including machine learning, natural language processing, computer vision, and generative AI, in business functions.
CO3: Evaluate opportunities for applying AI to improve decision-making, customer experience, operational efficiency, and innovation.
CO4: Apply AI concepts and tools to address selected business problems and managerial challenges.
CO5: Assess the ethical, legal, privacy, security, and responsible AI issues associated with business applications.
Provides practical experience in applying AI techniques to business problems and use cases.
Course Outcome:
CO1: Apply appropriate AI tools and platforms to address practical business problems.
CO2: Develop basic AI-enabled solutions using suitable data, models, prompts, or applications.
CO3: Apply AI techniques to selected business areas such as marketing, finance, human resources, operations, and customer service.
CO4: Test and evaluate AI-based solutions based on performance, usability, accuracy, and business relevance.
CO5: Develop and present a practical AI-enabled business solution while considering ethical, privacy, and responsible AI principles.
Introduces deep learning concepts, neural networks and their applications to complex business and analytical problems.
Course Outcome:
CO1: Explain the fundamental concepts, architecture, and significance of deep learning and artificial neural networks.
CO2: Analyse the working principles of neural networks, activation functions, learning algorithms, and optimisation techniques.
CO3: Apply deep learning concepts to problems involving classification, prediction, image processing, and other business applications.
CO4: Examine advanced deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
CO5: Evaluate the performance and limitations of deep learning models using appropriate techniques and performance measures.
CO6: Assess ethical, computational, privacy, and responsible AI issues associated with deep learning applications.
Develops managerial skills for interpreting and communicating data through effective visualizations and dashboards.
Course Outcome:
CO1: Explain the role and significance of data visualisation in managerial decision-making and business communication.
CO2: Select appropriate charts, graphs, dashboards, and visualisation techniques based on data characteristics and managerial requirements.
CO3: Analyse business data through visual representations to identify patterns, trends, relationships, and performance insights.
CO4: Design effective and meaningful dashboards and visual reports for monitoring Key Performance Indicators and organisational performance.
CO5: Interpret and communicate data-driven insights effectively to support strategic and managerial decision-making.
Uses data and analytical techniques to evaluate digital campaigns, customer behaviour and marketing performance.
Course Outcome:
CO1: Explain the concepts, scope, and significance of digital marketing analytics in evaluating online marketing performance.
CO2: Identify and analyse relevant digital marketing data, metrics, and Key Performance Indicators related to websites, social media, search engines, and digital campaigns.
CO3: Apply analytical techniques to examine customer behaviour, engagement, conversion, campaign performance, and return on marketing investment.
CO4: Use data visualisation and analytical tools to interpret digital marketing data and generate actionable insights.
CO5: Evaluate digital marketing performance and develop data-driven recommendations for improving campaign effectiveness and customer engagement.
Examines strategic, financial and managerial aspects of mergers, acquisitions and corporate restructuring.
Course Outcome:
CO1: Evaluate the economic, financial and strategic perspectives of mergers and acquisitions.
CO2: Identify strategies and value creation in mergers. joint ventures and strategic alliances
CO3: Analyze valuation aspect in mergers, acquisition and strategic alliances.
CO4: Examine legal and regulatory framework regarding corporate restructuring.
CO5: Evaluate the operations aspects of amalgamation.
Develops understanding of derivative markets, instruments, trading mechanisms and risk management.
Course Outcome:
CO1: Explain the fundamentals of derivatives and risk management, including types of derivatives and financial risks.
CO2: Evaluate the legal, regulatory, and compliance issues in derivatives markets, including international standards.
CO3: Analyze and apply forward and futures contracts for pricing and hedging in financial markets.
CO4: Apply and evaluate option pricing models and develop options trading strategies.
CO5: Critically assess contemporary issues like cryptocurrencies, systemic risks, and derivative market failures in financial crises.
Examines international financial markets, foreign exchange, cross-border financing and global financial decisions.
Course Outcome:
CO1: Explain the concepts, scope, and significance of international finance in the global business environment.
CO2: Analyse the international monetary system, foreign exchange markets, and factors influencing exchange rates.
CO3: Apply foreign exchange concepts and techniques to international financial transactions and decision-making.
CO4: Evaluate international investment and financing decisions, including foreign direct investment, international capital budgeting, and sources of international finance.
CO5: Assess foreign exchange risk and other financial risks associated with international business and apply appropriate hedging and risk management strategies.
CO6: Develop appropriate financial strategies to support international business operations and decision-making in a dynamic global financial environment.
Develops strategies for product development, positioning, branding and managing product portfolios.
Course Outcome:
CO1: Explain the concepts, roles, and strategic importance of product management in competitive markets. (Understand)
CO2: Apply product planning and new product development techniques to create customer-centric products. (Apply)
CO3: Analyze market potential, customer needs, and competitive environments to formulate product strategies. (Analyze)
CO4: Evaluate branding strategies, brand positioning, and brand architecture for effective brand management. (Evaluate)
CO5: Develop systems for measuring, managing, and enhancing brand equity using qualitative and quantitative techniques. (Apply/Create)
CO6: Design branding and product management strategies for global, digital, and emerging business environments. (Create)
Examines advertising strategies, brand communication, positioning and brand-building activities.
Course Outcome:
CO1: Explain the concepts, objectives, scope, and significance of advertising and brand management in the contemporary marketing environment.
CO2: Analyse consumer behaviour, target audiences, and market conditions to develop effective advertising and branding strategies.
CO3: Apply principles of creative strategy, media planning, message development, and integrated marketing communication to advertising campaigns.
CO4: Evaluate brand identity, positioning, equity, image, and communication strategies for building strong and sustainable brands.
CO5: Assess advertising and brand performance using appropriate metrics, analytics, and consumer response measures.
CO6: Develop integrated advertising and brand management strategies to enhance brand awareness, customer engagement, loyalty, and competitive advantage.
Develops skills in identifying marketing problems, collecting data, conducting research and interpreting findings.
Course Outcome:
CO1: Understand the concepts, process, and applications of marketing research in managerial decision-making.
CO2: Identify marketing research problems and formulate research objectives, hypotheses, and research designs.
CO3: Apply appropriate sampling techniques and data collection methods in marketing research.
CO4: Develop and evaluate measurement scales and questionnaires for marketing research studies.
CO5: Analyze and interpret marketing data using statistical techniques and SPSS/PLS-SEM.
CO6: Prepare and present marketing research reports and understand contemporary developments in marketing research.
Examines employer–employee relations, labour laws, collective bargaining and workplace dispute management.
Course Outcome:
CO1: Understanding of the basic concepts and provisions of various legislations.
CO2: Apply concepts, legal terminology appropriately and demonstrate conceptual understanding for smooth functioning of Industrial unit.
CO3: Examine the role of various parties to industrial relations in relation with the statutory framework while dealing with different industrial disputes.
CO4: Applicability of various labor legislations in sync with the conventions and recommendations laid down by ILO.
CO5: Understand the conceptual and legal aspects of employee relations at the macro and micro levels & Formulate dispute handling mechanism to various industrial disputes for ensuring industrial peace
Develops advanced approaches for aligning HR strategies with organizational goals and competitive advantage.
Course Outcome:
CO1: Explain advanced concepts, strategic perspectives, and contemporary developments in Human Resource Management and their role in achieving organisational objectives.
CO2: Analyse the alignment between HR strategies, business strategies, organisational capabilities, and competitive advantage.
CO3: Evaluate strategic HR practices related to talent management, workforce planning, performance management, leadership development, and employee engagement.
CO4: Apply strategic HR frameworks and analytical approaches to address complex organisational and workforce challenges.
CO5: Assess contemporary issues and emerging trends in HRM, including digital HR, Artificial Intelligence, people analytics, diversity, sustainability, and global workforce management.
CO6: Develop innovative and integrated HR strategies to enhance organisational performance, employee effectiveness, and long-term sustainability.
Examines HR practices and challenges associated with managing employees across international and multicultural environments.
Course Outcome:
CO1: Understand the fundamentals of International HRM and analyze its strategic importance in global business.
CO2: Examine and apply international staffing approaches and evaluate recruitment and selection practices for global assignments.
CO3: Design effective training programs and leadership development strategies for expatriates and global teams.
CO4: Evaluate international performance appraisal methods and compensation strategies for managing global talent.
CO5: Analyze comparative HRM practices and develop inclusive, ethical, and effective strategies for managing diverse international teams.
CO6: Identify and assess emerging trends in IHRM, including technology adoption, remote work, and sustainability.
Examines global trade processes, logistics networks, supply chains and cross-border movement of goods.
Course Outcome:
CO1: Discuss the development of international trade logistics and its significance to national economies and industries.
CO2: Analyze the considerations and regulatory requirements for labelling and marking export consignments, including promotional and safety aspects.
CO3: Evaluate sustainable, multimodal, and digital transportation logistics practices. CO4: Assess the phases of integrated logistics services and third-party logistics selection.
CO5: Explain warehousing procedures, dry port operations, and their role in trade facilitation.
CO6: Interpret liner shipping systems and prepare international trade documentation.
Develops strategies for marketing products and services across diverse international markets.
Course Outcome:
CO1: Comprehend the complexities of international marketing environments, including cultural, economic, political, and legal factors.
CO2: Formulate and implement strategic marketing plans for global markets, utilizing appropriate market entry strategies.
CO3: Make informed decisions regarding the global marketing mix elements: product, price, promotion, and place.
CO4: Analyse the impact of international trade organizations, economic unions, and regional trade agreements on marketing strategies.
CO5: Understand international pricing strategies, export payment methods, and the role of financial institutions and regulatory policies in supporting international marketing activities.
Develops strategic approaches for managing organizations in competitive and rapidly changing global markets.
Course Outcome:
CO1: Understand concepts, processes, and dynamics of global strategic management.
CO2: Analyze global external and internal environments affecting organizational strategy.
CO3: Evaluate resources, capabilities, and competencies to build competitive advantage.
CO4: Formulate strategic choices at corporate, business, and functional levels.
CO5: Assess internationalization strategies and global competitive dynamics.
CO6: Implement, evaluate, and control strategies considering ethical and social responsibilities.
Introduces affiliate-based digital promotion, partnership models, performance tracking and online revenue generation.
Course Outcome:
CO1: Understand the fundamentals of affiliate marketing and its role in the digital marketing.
CO2: Analyze and select appropriate affiliate programs and networks for different business models.
CO3: Develop and implement effective affiliate marketing strategies across various digital platforms.
CO4: Apply ethical practices and comply with legal regulations in affiliate marketing campaigns.
CO5: Evaluate affiliate marketing performance using analytics tools and optimize campaigns for improved results.
Develops strategies for social media communication, content, engagement, campaigns and digital brand building.
Course Outcome:
CO1: Define social media marketing and understanding the concepts associated with it
CO2: Describe the Components of social media and their role in devising effective social media marketing strategy
CO3: Develop effective social media marketing strategies for various types of industries.
CO4: Devise an integrated social media marketing strategy using a variety of services, tools and platforms to accomplish marketing objectives.
CO5: Analyze the progress in achieving social media goals with a variety of powerful measurement tools, services, and metrics
Introduces website-based marketing, search visibility, online engagement and web performance measurement.
Course Outcome:
CO1: Explain the concepts, scope, models, and strategic importance of web marketing in contemporary business.
CO2: Apply website planning techniques, domain management, hosting solutions, and keyword research methods for developing effective web presence.
CO3: Develop and manage websites using CMS platforms such as WordPress and Shopify for business and e-commerce applications.
CO4: Implement on-page and off-page SEO techniques to improve website ranking, visibility, and user experience.
CO5: Design and manage paid marketing campaigns using search engine marketing and Google Ads tools.
CO6: Analyze website performance and user behavior using web analytics tools and key performance metrics
Examines innovative marketing approaches used by startups and entrepreneurial ventures with limited resources.
Course Outcome:
CO1: Remembering the key terms and important concepts and basics of Entrepreneurial marketing.
CO2: Understanding the various strategies for Enterprise Growth.
CO3: Apply growth analysis tools and strategies for market development, customer acquisition, and retention.
CO4: Analyze the different growth strategies and models to determine their suitability for various business contexts.
CO5: Evaluate the customer loyalty programs and referral marketing strategies for improving customer satisfaction.
CO6: Design and implement innovative marketing tools such as guerrilla marketing, buzz marketing, and viral marketing campaigns.
Develops understanding of operational planning, processes, resources and scalability in startup ventures.
Course Outcome:
CO1: Explain the concepts, scope, and significance of operations management in start-ups and entrepreneurial ventures.
CO2: Analyse operational requirements related to product and service design, capacity, process selection, and resource management in start-ups.
CO3: Apply appropriate strategies for managing supply chains, quality, inventory, technology, and other operational activities.
CO4: Evaluate operational challenges and risks faced by start-ups during different stages of growth and development.
CO5: Develop efficient and scalable operational strategies to support innovation, cost optimisation, customer value, and sustainable growth.
Develops advanced strategies for entrepreneurial growth, competition, innovation and venture sustainability.
Course Outcome:
CO1: Explain advanced concepts and approaches to entrepreneurial strategy for the growth and sustainability of entrepreneurial ventures.
CO2: Analyse competitive environments, market dynamics, resources, and capabilities to identify strategic opportunities and challenges.
CO3: Evaluate strategies related to growth, innovation, diversification, scaling, internationalisation, and strategic alliances.
CO4: Apply strategic tools and frameworks to address complex challenges and decision-making situations faced by entrepreneurial ventures.
CO5: Assess the role of leadership, innovation, networks, and resource mobilisation in achieving entrepreneurial growth and competitive advantage.
CO6: Develop integrated entrepreneurial strategies for managing uncertainty, sustaining growth, and creating long-term value.
Examines emerging technologies, business models and innovations shaping the contemporary financial technology ecosystem.
Course Outcome:
CO1: Understand the evolution, components, and recent trends shaping the FinTech ecosystem in India and globally.
CO2: Explain the fundamentals of blockchain technology and cryptocurrencies, along with their financial applications and regulatory challenges.
CO3: Analyze digital payment systems and the role of UPI and NPCI in transforming the financial landscape in India.
CO4: Evaluate alternative lending platforms and innovations in credit assessment, digital underwriting, and regulatory frameworks.
CO5: Assess the models and impact of Neobanking, InsurTech, and WealthTech startups within the Indian FinTech sector.
CO6: Examine the legal, regulatory, ethical, and cybersecurity issues related to FinTech, and explore future developments like AI and the Metaverse in finance.
Explores entrepreneurial opportunities, business models, innovation and venture creation in financial technology.
Course Outcome:
CO1: Demonstrate an understanding of the FinTech landscape, including its evolution, key innovation drivers, and ecosystem participants such as startups, incubators, and venture capitalists.
CO2: Analyze various FinTech business models, revenue strategies, and the dynamics of startup ecosystems, including valuation and funding mechanisms.
CO3: Evaluate the regulatory, compliance, and risk management frameworks applicable to FinTech ventures, including RBI guidelines, KYC/AML norms, and data privacy laws.
CO4: Understand the financing lifecycle of FinTech ventures and assess various funding sources and valuation approaches, along with their role in promoting financial inclusion.
CO5: Develop a FinTech venture using opportunity identification, business planning, lean startup methodology, MVP development, and strategic pitch preparation.
CO6: Apply growth management strategies using key performance metrics, build scalable operations, form strategic alliances, and evaluate global expansion and exit strategies.
Applies data analytics techniques to financial technology applications, customer insights and financial decision-making.
Course Outcome:
CO1: Explain the concepts, scope, and significance of data analytics in the Financial Technology (FinTech) ecosystem.
CO2: Apply appropriate techniques for collecting, cleaning, managing, and analysing financial and transactional data.
CO3: Analyse FinTech data using descriptive, predictive, and diagnostic analytical techniques to identify patterns, trends, and insights.
CO4: Apply data analytics tools and techniques to address FinTech applications such as digital payments, credit scoring, fraud detection, risk management, and customer analytics.
CO5: Evaluate analytical models and data-driven insights to support effective financial and business decision-making.
CO6: Assess issues related to data privacy, cybersecurity, ethics, regulatory compliance, and responsible use of data in FinTech.
Introduces fundamental human biology and terminology used in healthcare and hospital management environments.
Course Outcome:
CO1: Explain the fundamental concepts of human biology, including the structure and functions of major body systems.
CO2: Describe the basic organisation of the human body, including cells, tissues, organs, and organ systems.
CO3: Explain the structure, function, and interrelationships of major human body systems relevant to healthcare management.
CO4: Apply appropriate medical terminology, abbreviations, prefixes, suffixes, and root words in healthcare communication and documentation.
CO5: Interpret commonly used medical terms and basic clinical information to support effective communication and coordination in healthcare settings.
CO6: Develop foundational knowledge of human biology and medical terminology for understanding healthcare processes and supporting healthcare management decisions.
Develops understanding of quality standards, continuous improvement and quality assurance practices in healthcare.
Course Outcome:
CO1: Understanding the importance of quality management in hospitals.
CO2: Understanding the concepts of quality services.
CO3: Implementing quality procedure in hospitals.
CO4: Using service quality tool and techniques.
CO5: Implementation of quality Programme in hospital
Examines planning and management of essential support and utility services required for hospital operations.
Course Outcome:
CO1: Understanding the Planning and Organisation of the hospitals
CO2: Understanding the method of the planning and organization of the hospital
CO3: Understanding the designing of the various non clinical / support departments in the hospitals
CO4: Understanding the protocols for the security of the hospitals
CO5: Understanding the consumer protection act relevant to medical profession
Examines emerging technologies and digital innovations transforming hospitality and tourism operations and experiences.
Course Outcome:
CO1: Explain the concepts, scope, and significance of emerging technologies in the hospitality and tourism industry.
CO2: Analyse the applications of technologies such as Artificial Intelligence, Internet of Things, Virtual and Augmented Reality, robotics, and blockchain in hospitality and tourism.
CO3: Evaluate the impact of emerging technologies on customer experience, operational efficiency, service quality, and business competitiveness.
CO4: Apply appropriate technological solutions to address contemporary challenges in hospitality and tourism operations.
CO5: Assess the challenges and issues related to technology adoption, including data privacy, cybersecurity, ethics, cost, and workforce implications.
CO6: Develop innovative technology-driven strategies to enhance hospitality and tourism services and experiences.
Develops understanding of information systems used to support hospitality operations, customer management and decision-making.
Course Outcome:
CO1: Explain the concepts, components, and significance of Information Management Systems in hospitality organisations.
CO2: Analyse the role of information systems in managing hospitality operations, customer information, reservations, and business processes.
CO3: Apply appropriate information management tools and systems to support operational and managerial decision-making.
CO4: Evaluate the use of Property Management Systems, Customer Relationship Management systems, and other digital platforms in hospitality management.
CO5: Assess issues related to data management, information security, privacy, and ethical use of information in hospitality organisations.
CO6: Develop appropriate information management strategies to improve operational efficiency, customer service, and organisational performance.
Develops understanding of travel agency functions, tour planning, booking processes and tourism operations.
Course Outcome:
CO1: Explain the concepts, functions, structure, and significance of travel agencies and tour operations in the tourism industry.
CO2: Analyse the processes involved in tour planning, itinerary preparation, costing, pricing, and packaging of tourism products.
CO3: Apply appropriate techniques for managing travel arrangements, reservations, ticketing, accommodation, transportation, and other tour services.
CO4: Evaluate the role of technology, online travel platforms, and Global Distribution Systems in travel agency and tour operations.
CO5: Analyse the challenges, risks, legal requirements, and contemporary trends associated with travel agency and tour operations.
CO6: Develop effective travel and tour packages that meet customer requirements while ensuring service quality, profitability, and sustainable tourism practices.
Enables students to complete advanced research, analyse findings and present conclusions through a comprehensive dissertation.
Provides extended practical exposure to organizational practices and application of management knowledge in industry.
Develops understanding of India's financial system, financial institutions, markets and major financial instruments.
CO1: Understand the structure and components of the Indian financial system.
CO2: Analyse the structure and functioning of money and capital markets in India.
CO3: Assess the roles and operations of major financial institutions in India.
CO4: Evaluate the functions and importance of development banks and other financial institutions.
CO5: Understand the interest rate structure and its impact on the economy
Examines governance mechanisms, board responsibilities, transparency, accountability and ethical corporate practices.
CO1: Demonstrate a clear understanding of the principles, pillars, and frameworks of corporate governance, including its relevance in the Indian context.
CO2: Identify and apply elements of good corporate governance, focusing on transparency, disclosure, and compliance with global standards like G20/OECD principles.
CO3: Analyze the roles, responsibilities, and conduct of the Board of Directors, Independent Directors, and Chairman, ensuring board effectiveness and ethical leadership.
CO4: Examine the structure and responsibilities of various board committees, including Audit, Nomination & Remuneration, Stakeholder Relationship, and Risk Management Committees.
CO5: Develop the ability to critically analyze governance practices and recommend improvements to ensure organizational integrity and stakeholder trust
Develops entrepreneurial competencies, opportunity recognition, innovation and skills for venture creation and growth.
CO1: Understand the concept, types, traits, and mindset of entrepreneurs; differentiate entrepreneurs from managers; distinguish entrepreneurship from intrapreneurship.
CO2: Analyse the role and challenges of women, rural, and social entrepreneurs; understand entrepreneurship development and government support systems.
CO3: Explain entrepreneurial motivation and strategies for identifying, entering, and managing new business opportunities with reduced risk.
CO4: Apply creativity techniques for idea generation; understand innovation, opportunity recognition, and product development processes.
CO5: Develop and implement a business plan; understand succession, exit strategies, and reasons for business failure.
CO6: Understand international entrepreneurship, its importance, stages of economic development, institutional support, and government policies; analyze Indian startup case studies.
Develops understanding of digital channels, online campaigns, customer engagement and digital marketing performance.
CO1: Understand the fundamentals of digital marketing, its evolution from traditional marketing, digital marketing channels, customer value journey, and characteristics of online consumers.
CO2: Develop knowledge of content marketing strategies, including content planning, creation, promotion, blog development, and evaluation of content effectiveness.
CO3: Apply concepts of Search Engine Optimization (SEO), Search Engine Marketing (SEM), keyword strategies, PPC marketing, and online reputation management to enhance digital visibility.
CO4: Analyze web analytics, email marketing, and social media marketing tools to measure performance, optimize campaigns, and improve digital marketing effectiveness.
CO5: Evaluate and design integrated digital marketing strategies using social media platforms, influencer marketing, analytics metrics, and customer engagement approaches.
Develops understanding of sales planning, sales-force management, territory management and sales performance.
CO1: Understand the apply the selling techniques in an organisation.
CO2: Develop a plan for organising, staffing & training sales force.
CO3: Analyse sales territories to maximize selling effectiveness.
CO4: Evaluate sales management strategies.
CO5: Demonstrate practical sales skills through project based learning
|
Details |
Amount |
|---|---|
|
Programme Fees (per Semester) |
₹90000 |
|
Examination Fees |
₹3000 |
|
International Fees (per Year) |
$3500 |
| Slab | >=60% - 74.99% | >=75% - 89.99% | >=90% & Above |
|---|---|---|---|
| Fee | ₹80000 | ₹75000 | ₹70000 |
Students can avail these slots depending on the marks they have scored. Each slot reflects a different academic range, helping students understand where they stand and what benefits they qualify for.
With every firm looking to include AI in their operation, studying AI provides a world of potential to produce cutting-edge tech solutions in varied areas including image identification, computer protection, pharmaceutical, or face recognition. Artificial intelligence (AI) is a popular business re-engineering and efficiency-boosting tool that specialises in making business processes and computers do tasks that would ordinarily require human intelligence.
Speech-to-text, text-to-speech, perception, decision-making, speech recognition, and language translation are all examples of language processing. It is a subfield of computer science whose goal is to create intelligent computer machines. An MBA in AI combines an awareness of the influence of business effectiveness through research, analysis, technology, and consultancy in the business world. This programme emphasises AI technologies and consulting abilities in addition to business fundamentals such as Accounting, Operations, Finance, Marketing, Managerial, and Strategic planning.
Students will be exposed to the Consulting AI Lab, where real AI-based consulting methods for industry-based projects will be implemented. The subjects are arranged to facilitate self-learning as well as to benefit the regional industry or worldwide entrepreneurs. The dynamic company Case studies are reinforced by a variety of teaching and learning pedagogies, such as expert sessions, technical and consulting workshops led by diverse AI and consulting professionals, in-house AI-consulting laboratories, live projects, international study abroad tours, and skill acquisition programmes and conferences.
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