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Bachelor of Business Administration with Specialisation in Business Analytics (IBM)*

program-details

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.

Industry Immersion

  • Business Intelligence
  • Artificial Intelligence
  • Sectoral Analytics
  • Predictive Analytics

eligibility criteria

10+2 or equivalent in any stream with English as a compulsory subject from a recognized board and having atleast 50% marks. (5% relaxation for SC Category)

Admission criteria

Merit in CT-SET, subject to fulfilling eligibility criteria.

Duration

3 Years

Curriculum

1ST SEMESTER SUBJECTS

Introduces fundamental management concepts, functions, principles and managerial processes used in organizations.

Course Outcome:

CO1: Understand and explain the fundamental concepts, principles, and functions of management

CO2: Apply planning and decision-making techniques to managerial scenarios .

CO3: Analyze organizational structures and processes to enhance efficiency.

CO4: Evaluate various leadership and motivational theories and their application in management

CO5: Create and implement effective management strategies to address contemporary issues and challenges

Provides foundational knowledge of accounting principles, recording of transactions and preparation and interpretation of financial statements.

Course Outcome:

CO1: Explain the fundamentals of financial accounting, including concepts, principles, and basic accounting systems.

CO2: Apply accounting concepts, conventions, and accounting standards to develop a sound accounting framework.

CO3: Record and summarize financial transactions using journal, ledger, and trial balance.

CO4: Prepare final accounts and maintain subsidiary books for accurate financial reporting.

CO5: Calculate depreciation and account for bills of exchange in practical business situations.

CO6: Use computerized accounting systems and analyze emerging trends like cloud and AI in accounting.

Introduces economic concepts and analytical tools related to demand, supply, production, costs, markets and business decision-making.

Course Outcome:

CO1: Understand the foundational concepts and principles of Economics

CO2: Analyse the theory of Demand and Supply

CO3: Evaluate theories and concepts related to Inflation and Unemployment

CO4: Apply the principles of Production and Cost Theory

CO5: Explain different Market Structures

CO6: Discuss the concepts of National Income and Trade Cycle

Develops entrepreneurial thinking, creativity, opportunity recognition and problem-solving capabilities.

Develops communication, teamwork, interpersonal, problem-solving and workplace-readiness skills.

Course Outcome:

CO1: Prepare their résumé on an appropriate template without any grammatical and other errors, using proper syntax

CO2: Participate in a simulated interview

CO3: Actively participate in group discussions towards gainful employment

CO4: Capture a self-interview simulation video regarding the concerned job or role

CO5: Enlist the common errors generally made by candidates in an interview

CO6: Participate in Presentation Skills

Develops understanding of human values, ethical living, relationships, harmony and responsible professional conduct.

Course Outcome:

CO1: Define and identify core universal human values and relate them to their own lives.

CO2: Demonstrate self-awareness and initiate personal transformation (Human Revolution

CO3: Appreciate the importance of Sewa (selfless service), compassion, and empathy.

CO4: Apply principles of truth, non-violence, and moral responsibility in real-life dilemmas.

CO5: Evaluate ethical decisions involving sacrifice and righteousness through case studies.

CO6: Reflect on the relevance of renunciation and simplicity in modern life for inner peace.

Develops foundational English language, communication, reading, writing and speaking skills for academic and professional contexts.

Course Outcome:

CO1: Use standard English aptly in listening, speaking, and communicative situations

CO2: Write error-free sentences and short texts in English Language

CO3: Comprehend reading passages effectively

CO4: Demonstrate use of apt and relevant vocabulary at lower intermediate to intermediate level

CO5: Develop effective oral presentation skills, including audience analysis and body language

CO6: Apply audio-visual aids to enhance communication and improve pronunciation

Introduces principles and techniques for preparing clear, structured and professional technical documents.

Course Outcome:

CO1 -Understand the purpose and scope of technical writing.

CO2 - Produce clear and precise technical descriptions and definitions.

CO3 - Recognize and write in different forms and styles of technical writing.

CO4 - Apply the writing process, including drafting, revising, and proofreading, to prepare technical documents.

Introduces fundamental concepts of artificial intelligence, its evolution, applications, capabilities, limitations and relevance to business.

Course Outcome:

CO1: Explain the fundamental concepts, evolution, scope, and applications of Artificial Intelligence.

CO2: Describe the basic principles of intelligent agents, problem-solving, search techniques, and knowledge representation.

CO3: Examine the fundamentals of machine learning, deep learning, natural language processing, and computer vision.

CO4: Analyse the role and applications of AI across various business and industry domains.

CO5: Evaluate the ethical, social, legal, and responsible use considerations associated with Artificial Intelligence.

Provides hands-on exposure to basic artificial intelligence concepts, tools and applications through practical exercises.

Course Outcome:

CO1: Apply basic programming and AI tools to solve simple computational problems.

CO2: Implement fundamental AI algorithms and techniques using appropriate software platforms.

CO3: Perform basic data handling, analysis, and visualisation for AI applications.

CO4: Develop simple machine learning models for classification, prediction, and decision-making tasks.

CO5: Demonstrate practical skills in testing, evaluating, and interpreting the outcomes of AI-based models.

2ND SEMESTER SUBJECTS

Introduces principles and practices for acquiring, developing, motivating and retaining human resources in organizations.

Course Outcome:

CO1: Understand the basic concepts, scope, and functions of Human Resource Management in the modern business environment.

CO2: Analyze and apply techniques for HR demand and supply forecasting, job analysis, and job design.

CO3: Demonstrate knowledge of effective recruitment, selection, and orientation processes.

CO4: Evaluate training methods and design compensation structures based on organizational needs.

CO5: Assess performance appraisal methods and understand the role of collective bargaining and job evaluation in employee relations

Introduces marketing concepts, consumer needs, segmentation, marketing mix and strategies for creating customer value.

Course Outcome:

CO1: Explain the fundamental concepts, nature, scope, and ethical considerations of marketing, and analyze the micro and macro environmental factors affecting marketing decisions.

CO2: Apply the concepts of market segmentation and the marketing mix to develop effective product and service marketing strategies.

CO3: Evaluate product-related decisions including product development, life cycle management, positioning, branding, and packaging in relation to marketing objectives.

CO4: Design appropriate pricing and distribution strategies by understanding the factors influencing pricing methods and channel management.

CO5: Analyze and construct an effective promotion mix strategy and integrated marketing communications to support marketing goals.

CO6: Discuss emerging trends in marketing, including the impact of digital technologies, AI, sustainability, and omnichannel approaches on modern marketing practices.

Develops statistical skills for collecting, analyzing and interpreting quantitative information for business decision-making.

Course Outcome:

CO1: Learn to predict the relationship between variables according to their strength, direction, taste of customers.

CO2: Acquire knowledge of Statistics and its limitations and importance in various areas.

CO3: Explicitly outline logical flow of information from broad to most fine-grained and will present all statistical results in logical form based on evidence.

CO4: Use different hypothesis testing methods in verifying the claims.

CO5: Familiar with data reflecting quality characteristics including concepts of independence and association between different types of data.

Focuses on the use of accounting information for planning, budgeting, cost control and managerial decision-making.

Course Outcome:

CO1: Understand and evaluate the concepts, scope, and role of management accounting in organizational decision-making, along with techniques of financial statement analysis.

CO2: Analyse financial statements using comparative, common-size, and trend analysis methods to facilitate inter-firm and inter-period comparison.

CO3: Evaluate the financial performance and position of a company using various accounting ratios and interpret their implications for decision-making.

CO4: Prepare and analyse fund flow statements and assess working capital management for effective managerial reporting and control.

CO5: Develop and apply budgeting techniques, including flexible and modern budgeting approaches, for planning, control, and solving organizational problems.

CO6: Apply contemporary management accounting tools and techniques, including case study analysis and practical applications (e.g., Excel-based analysis), to solve real-world business problems

Explains principles of transparency, accountability, ethics and responsible management in organizations.

Course Outcome:

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.

Focuses on opportunity identification, innovation, entrepreneurial competencies and business problem-solving.

Creates awareness of environmental challenges, sustainability, natural resources, conservation and responsible business practices.

Course Outcome:

CO1: Analyse the impact of Biodiversity conservation on species and the environment.

CO2: Apply knowledge of environmental policies and legislations to evaluate and propose solutions for local and global environmental issues.

CO3: Implement environmental management plans to address campus environmental issues such as

Waste disposal, water management, and sanitation.

CO4: Students will gain knowledge of the structure and function of ecosystems, biodiversity, and the importance of natural resources.

CO5: Recognize the interdependence between humans and the environment.

Develops leadership, teamwork, communication, conflict management and decision-making capabilities.

Course Outcome:

CO1: Examine various leadership models and understand and/or assess their skills, strengths and abilities that affect their personal leadership style and can create a leadership vision.

CO2: Examine basic managerial Skills

CO3: Learn and demonstrate a set of practical skills such as time management, finance management, self- management, handling conflicts, and team leadership

CO4: Understand the basics of entrepreneurship and develop business plans

CO5: Apply the design thinking approach for leadership

CO6: Appreciate the importance of ethics and moral values for developing a balanced Personality

Enhances professional communication, presentation, interpersonal and advanced English language skills.

Course Outcome:

CO1: Apply effective grammatical structures in English Language for speaking and writing

CO2: Utilize effective note-making techniques in English Language

CO3: Effectively summarize and paraphrase texts in English Language

CO4: Demonstrate use of apt and relevant vocabulary at intermediate to upper-intermediate level

CO5: Employ cohesive and coherent discourse in English communication

CO6: Produce well-organized written and spoken texts in English Language

Introduces Python-based techniques for transforming business data into meaningful visualizations for analysis and decision-making.

Course Outcome:

CO1: Explain the fundamentals and importance of data visualization in data analysis and decision-making.

CO2: Apply Python programming concepts and relevant libraries for data handling and visualization.

CO3: Create appropriate visual representations, including bar charts, line charts, pie charts, histograms, and scatter plots.

CO4: Analyse and interpret data patterns, trends, relationships, and distributions through visualizations.

CO5: Select suitable visualization techniques to communicate insights effectively for different datasets and business problems.

CO6: Develop data-driven problem-solving and decision-making skills using Python-based visualization tools.

Provides practical experience in using Python libraries and tools to create, customize and interpret data visualizations.

Course Outcome:

CO1: Apply Python programming skills for importing, cleaning, and preparing data for visualization.

CO2: Use Python libraries such as Matplotlib, Seaborn, and Plotly to create different types of visualizations.

CO3: Develop appropriate charts and graphical representations based on the nature and characteristics of datasets.

CO4: Analyse and interpret insights, patterns, trends, and relationships obtained through data visualizations.

CO5: Design and present effective visual reports and dashboards to support data-driven decision-making.

3RD SEMESTER SUBJECTS

Introduces logistics, procurement, inventory, transportation and supply chain processes for efficient movement of goods and information.

Course Outcome:

CO1: Explain the fundamental concepts, functions, and strategic importance of logistics and supply chain management in business organizations

CO2: Apply procurement, purchasing, and inventory management techniques to improve operational efficiency and cost effectiveness.

CO3 Evaluate transportation, warehousing, and distribution systems to optimize logistics performance using modern technologies.

CO4: Analyze global supply chain operations by integrating digital technologies, AI applications, and geopolitical factors into logistics decision-making.

CO5: Assess sustainable supply chain practices, risk management strategies, and emerging industry trends to enhance supply chain resilience.

Provides knowledge of fundamental income tax provisions, taxable income, deductions and tax liability.

Course Outcome:

CO1: Explain the basic concepts, definitions, taxation structure, residential status, and exempt incomes under the Income Tax Act, 1961.

CO2: Compute taxable income under the heads Income from Salary and Income from House Property by applying relevant provisions, allowances, perquisites, and deductions.

CO3: Calculate income under Profits and Gains of Business or Profession and Capital Gains, including admissible deductions and classification of capital assets.

CO4: Analyze and compute income under Other Sources, apply clubbing provisions, and perform aggregation, set-off, and carry forward of losses.

CO5: Determine the Gross Total Income, Total Income, and Tax Liability of individuals by applying eligible deductions, rebates, and reliefs as per the Income Tax Act.

CO6: Demonstrate practical proficiency in the preparation and online filing of Income Tax Returns (ITR) and evaluate case studies relating to residential status and alternative tax regimes.

Examines individual and group behaviour and its influence on organizational effectiveness and employee performance.

Course Outcome:

CO1: Understand the concepts, scope, and functions of HRM, and integrate HRM with business strategy.

CO2: Develop skills in HR planning, job analysis, and creating job descriptions/specifications.

CO3: Master recruitment, selection, and orientation processes.

CO4: Design and evaluate training programs, and manage performance appraisal systems.

CO5: Analyze compensation structures, conduct job evaluations, and create compensation plans.

CO6: Understand industrial relations and manage dispute resolution processes effectively.

Introduces legal and ethical principles governing business decisions, corporate conduct and stakeholder relationships.

Course Outcome:

CO1: Understand and apply ethical principles and moral standards in various functional areas of business including marketing, finance, human resources, and production.

CO2: Evaluate and compare major ethical theories including consequentialist, non-consequentialist, and normative theories to analyze ethical challenges in business.

CO3: Analyze ethical dilemmas and apply systematic approaches to resolve them while fostering ethical behavior in organizations.

CO4: Demonstrate knowledge of Corporate Social Responsibility (CSR), its evolution, models, and implications for stakeholders in the modern business environment.

CO5: Interpret and apply key legal provisions related to environmental protection, consumer rights, competition regulation, information transparency, foreign exchange, and IT governance in business contexts

Develops quantitative, logical and analytical abilities for solving academic, business and managerial problems.

Course Outcome:

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

Introduces digital productivity tools for documentation, spreadsheets, presentations, data management and workplace activities.

Course Outcome:

CO1: Explain the concepts and importance of office automation and productivity tools in modern workplaces.

CO2: Demonstrate knowledge of word processing, spreadsheet, presentation, and digital communication tools.

CO3: Apply appropriate productivity tools for creating, organising, and managing professional documents and information.

CO4: Analyse the use of spreadsheets for data organisation, calculation, analysis, and reporting.

CO5: Develop effective presentations and digital content for academic and professional communication.

CO6: Evaluate the role of office automation tools in improving efficiency, collaboration, communication, and workplace productivity.

Provides practical training in office applications for document creation, spreadsheet analysis, presentations and digital productivity.

Course Outcome:

CO1: Demonstrate practical proficiency in using word processing software to create and format professional documents.

CO2: Apply spreadsheet tools for data entry, calculations, functions, analysis, and visual representation of data.

CO3: Create effective presentations using appropriate layouts, multimedia elements, and visual communication techniques.

CO4: Use digital tools for file management, communication, collaboration, and information sharing.

CO5: Develop integrated office documents and reports by applying multiple productivity tools to practical tasks.

CO6: Demonstrate competence in using office automation and productivity tools to solve routine academic and workplace problems efficiently.

Focuses on business idea generation, opportunity evaluation, market validation and entrepreneurial decision-making.

Introduces the Constitution of India, its fundamental values, rights, duties, institutions and democratic framework.

Course Outcome:

CO1: Understand the synthesis of fundamental rights, duties and Directive Principles.

CO2: To develop an understanding about relationship between fundamental rights and directive principles

CO3: To appraise the concept of Social Justice by enhancing upon the various parameters of Society and providing compensation to the backward classes.

CO4: To appraise the concept of basics of Indian Constitution.

CO5: To enhance the concept of Preamble, its meaning and scope.

Introduces systematic approaches to data science, including problem definition, data collection, preparation, analysis, modelling and evaluation.

Course Outcome:

CO1: Explain the fundamental concepts, processes, and stages involved in the data science lifecycle.

CO2: Identify and formulate business problems and translate them into appropriate data science problems.

CO3: Apply appropriate methods for data collection, data preparation, exploration, and analysis.

CO4: Analyse different data science techniques and methodologies for solving real-world problems.

CO5: Evaluate and interpret data-driven results to support effective decision-making.

CO6: Demonstrate awareness of ethical, privacy, and responsible practices in the application of data science.

Provides hands-on experience in applying data science processes, tools and techniques to practical datasets.

Course Outcome:

CO1: Apply the stages of the data science lifecycle to practical datasets and business problems.

CO2: Perform data collection, cleaning, transformation, and exploratory data analysis using appropriate tools.

CO3: Develop practical skills in applying suitable data science methodologies and analytical techniques.

CO4: Interpret and evaluate analytical results to derive meaningful insights and support decision-making.

CO5: Design and present a basic end-to-end data science project while following ethical and responsible data practices.

4TH SEMESTER SUBJECTS

Introduces startup ecosystems, opportunity identification, business models, incubation, funding and entrepreneurial support systems.

Course Outcome:

CO1: Understand the basic kitchen operations with regards to safety procedures and hygiene

CO2: Figure out the organisational structure of kitchen departments in hotels and food outlets.

CO3: Know the basic layout of kitchen and explain the importance of the same.

CO4: Differentiate between capital and operational equipment.

CO5: Know the preparation of various stocks, soups, and sauces.

Introduces production planning, process management, quality, inventory and operational efficiency.

Course Outcome:

CO1: Gaining knowledge about production and operations management.

CO2: Knowledge about different types of facility layouts and selecting the most appropriate one.

CO3: Developing the understanding about different day to day issues in a production facility

CO4: Helping to develop short and long terms plans and knowledge about various techniques to forecast the demand

CO5: Developing to understand about quality management.

CO6: Developing understanding about various inventory models and inventory control techniques in a production facility

Provides knowledge of important laws governing contracts, sale of goods and commercial transactions.

Course Outcome:

CO1: Remembering the concept of mercantile law and analysing how to read, understand and interpret the legal provisions.

CO2: Understanding the Provisions of Law governing the General Contract and Special Contract.

CO3: Applying the statutory provisions related to Legal Remedies available in the Law to the Business and other People.

CO4: Analyzing the statutory provisions of Sales of Goods Act.

CO5: Evaluate the operations aspects of Negotiable Instruments Act-their operations and implications in the business.

CO6: Developing the critical thinking using law cases and sensitizing about the rules relating to consumer law, rights of consumers and legal remedies in case of their violation.

Introduces systematic methods for research design, data collection, sampling, analysis, interpretation and report preparation.

Course Outcome:

CO1: Understand the fundamentals, types, and process of research in a business context.

CO2: Identify and formulate research problems, objectives, and hypotheses.

CO3: Design research using appropriate research methods and sampling techniques.

CO4: Use various methods for data collection.

CO5: Ability to apply measurement scales, select appropriate scaling techniques, and design effective questionnaires.

CO6: Prepare and present research reports and business proposals professionally.

Provides knowledge of accounting practices relating to companies, corporate transactions and preparation of corporate financial statements.

Course Outcome:

CO1: Understand the concepts, principles, and regulatory framework governing corporate accounting, including preparation and presentation of company financial statements.

CO2: Prepare and analyze consolidated financial statements of holding companies and subsidiaries using fundamental consolidation principles.

CO3: Apply accounting procedures relating to issue, forfeiture, reissue, redemption, valuation of shares and debentures, and prepare final accounts of insurance companies.

CO4: Demonstrate the ability to prepare accounts relating to liquidation, amalgamation, absorption, reconstruction, and acquisition of companies.

CO5: Evaluate corporate financial transactions and prepare accounting statements for complex business restructuring and reporting situations

Develops practical skills for managing stress, emotions, relationships and personal well-being.

Course Outcome:

CO1: Explain the concepts, sources, symptoms, and effects of stress on individual health, behaviour, and performance.

CO2: Identify personal and professional stressors and assess their impact on emotional and psychological well-being.

CO3: Apply appropriate stress-management techniques, including relaxation, mindfulness, time management, and positive coping strategies.

CO4: Develop emotional awareness, self-regulation, resilience, and interpersonal skills for managing challenging situations effectively.

CO5: Analyse the relationship between stress, emotional wellness, lifestyle, and overall personal and professional effectiveness.

CO6: Design a personal wellness plan incorporating healthy habits and strategies for maintaining long-term emotional well-being and work–life balance.

Develops skills for evaluating business ideas, understanding customers and designing viable entrepreneurial solutions.

Course Outcome:

CO1: Explain the structure, components, and functions of the Indian Financial System.

CO2: Understand the role and functions of various financial institutions in the Indian economy.

CO3: Examine the functioning of financial markets and financial instruments in India.

CO4: Analyse various financial services and their significance in the financial system.

CO5: Evaluate the role of financial sector reforms, regulatory bodies, and recent developments in the Indian financial system.

Introduces the structure, institutions, markets, instruments and regulatory framework of India's financial system.

Course Outcome:

CO1: To know International and domestic trends in intellectual property.

CO2: To introduce students to basic concepts of copyrights, patents,

Trademarks, geographical indications, trade secrets and designs.

CO3: To learn all intellectual property related legislations developed in

India.

CO4: To familiarize students with rights, registration and remedies associated

with each regime.

Provides knowledge of patents, trademarks, copyrights and other forms of intellectual property protection relevant to innovation and business.

Course Outcome:

CO1: To know International and domestic trends in intellectual property.

CO2: To introduce students to basic concepts of copyrights, patents,

Trademarks, geographical indications, trade secrets and designs.

CO3: To learn all intellectual property related legislations developed in

India.

CO4: To familiarize students with rights, registration and remedies associated

with each regime.

Introduces business intelligence concepts, data-driven decision-making, dashboards, reporting and analytical techniques for organizations.

Course Outcome:

CO1: Explain the fundamental concepts, components, architecture, and significance of Business Intelligence in organisational decision-making.

CO2: Apply appropriate techniques for data collection, integration, storage, and management to support business intelligence processes.

CO3: Analyse business data using descriptive and analytical techniques to identify patterns, trends, and meaningful insights.

CO4: Evaluate the role of data warehousing, data mining, dashboards, and reporting tools in business decision-making.

CO5: Develop the ability to interpret and communicate business insights for effective strategic and operational decision-making.

CO6: Assess contemporary issues related to data quality, governance, security, ethics, and privacy in Business Intelligence.

Provides practical experience in using business intelligence tools to prepare dashboards, reports and analytical outputs.

Course Outcome:

CO1: Apply Business Intelligence tools and techniques to collect, organise, and analyse business data.

CO2: Perform data cleaning, transformation, and integration for effective business analysis.

CO3: Create interactive reports, dashboards, and visualisations using appropriate Business Intelligence tools.

CO4: Analyse business datasets to identify trends, patterns, and actionable insights.

CO5: Develop and present data-driven solutions to support managerial and business decision-making.

Develops professional competencies, workplace readiness, career planning, communication and employability skills.

5TH SEMESTER SUBJECTS

Introduces legal provisions relating to company formation, management, administration, corporate governance and winding-up.

Course Outcome:

CO1: Explain the concept, characteristics, classification, and legal aspects of companies.

CO2: Describe the process of company formation, incorporation, and the significance of the Memorandum of Association.

CO3: Analyze the provisions relating to Articles of Association, Prospectus, and related company documents.

CO4: Explain the appointment, powers, duties, liabilities of directors, and the conduct of company meetings.

CO5: Discuss the provisions relating to auditors, audit committees, and the procedures for winding up of a company.

CO6: Demonstrate practical skills in online company registration, obtaining DIN/CIN, and preparation of company meeting documents and resolutions.

Introduces financial planning, investment, financing, working capital and other financial decision-making concepts.

Course Outcome:

CO1: Provide an in-depth view of the process in financial management of the firm.

CO2: Develop knowledge on the allocation, management and funding of financial resources.

CO3: Improving students’ understanding of the time value of money concept and the role of a financial manager in the current competitive business scenario.

CO4: Enhancing student’s ability in dealing short-term with day-to-day working capital decisions.

CO5: Apply longer-term dealing, which involves major capital investment decisions and raising long-term finance.

Develops knowledge of project planning, scheduling, resource allocation, risk management, execution and control.

Course Outcome:

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.

Introduces strategic analysis, formulation, implementation and evaluation for achieving organizational objectives.

Course Outcome:

CO1: Understand and explain the concepts, process, and importance of strategic management along with strategic intent (vision, mission, and objectives).

CO2: Analyze the internal and external business environment using tools such as SWOT, PESTLE, and competitive analysis techniques.

CO3: Evaluate various corporate level strategies including expansion, stability, retrenchment, and combination strategies.

CO4: Apply generic business strategies and strategic choices for achieving competitive advantage in domestic and international markets.

CO5: Examine the process of strategy implementation, including organizational structure, leadership, culture, and functional policies.

CO6: Assess strategic evaluation and control mechanisms and interpret contemporary strategic issues such as governance, CSR, and emerging trends.

Provides knowledge of GST concepts, structure, registration, compliance and taxation procedures in India.

Course Outcome:

CO1: Explain the concepts, structure, and legal framework of GST in India.

CO2: Determine the time, place, and value of supply and compute GST liability.

CO3: Apply provisions relating to Input Tax Credit and GST registration.

CO4: Prepare GST returns and understand assessment, payment, and compliance procedures.

CO5: Analyze GST implications on business transactions and solve practical taxation problems.

Provides practical exposure to organizational processes and enables students to apply academic knowledge in a real workplace environment.

Focuses on business model development, entrepreneurial planning, market validation and venture feasibility.

Develops verbal, non-verbal, interpersonal, presentation and professional communication competencies.

Course Outcome:

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.

Integrates multidisciplinary business and AI knowledge through application to a practical organizational or industry-based problem.

Introduces analytical approaches for examining sector-specific business data, trends, performance indicators and decision-making.

Course Outcome:

CO1: Explain the concepts, scope, and significance of sector-specific analytics in business decision-making.

CO2: Identify key performance indicators, data sources, and analytical requirements across different industry sectors.

CO3: Apply appropriate analytical techniques to examine sector-specific business problems and opportunities.

CO4: Analyse industry data to identify patterns, trends, risks, and performance insights.

CO5: Evaluate analytical outcomes and develop data-driven recommendations for sectoral decision-making and strategic planning.

CO6: Assess emerging trends, technologies, ethical issues, and challenges associated with sectoral analytics.

Provides practical experience in analyzing sector-specific datasets and developing analytical outputs using appropriate tools.

Course Outcome:

CO1: Apply appropriate tools and techniques to collect, prepare, and analyse sector-specific datasets.

CO2: Develop analytical models and visualisations to examine industry-specific trends and performance.

CO3: Use relevant Key Performance Indicators (KPIs) to evaluate business performance across different sectors.

CO4: Interpret analytical results to identify actionable insights, opportunities, and challenges.

CO5: Develop and present data-driven solutions for real-world sectoral business problems.

Introduces the design and application of AI solutions for recruitment, talent management, employee analytics and other HR functions.

Course Outcome:

CO1: Explain the role, scope, and applications of Artificial Intelligence in various Human Resource Management functions.

CO2: Analyse HR problems and identify suitable opportunities for developing AI-based solutions.

CO3: Apply AI concepts and tools to design applications for recruitment, employee engagement, performance management, learning, and workforce analytics.

CO4: Evaluate the effectiveness and business relevance of AI applications in improving HR processes and decision-making.

CO5: Assess ethical, legal, privacy, bias, and responsible AI issues associated with AI applications in HR.

CO6: Develop the ability to design AI-enabled solutions for addressing contemporary HR challenges.

Provides hands-on experience in developing and testing AI-enabled applications for practical HR use cases.

Course Outcome:

CO1: Apply AI tools and platforms to develop basic applications for selected HR functions.

CO2: Design and develop AI-based solutions for HR activities such as recruitment, employee support, learning, and workforce analytics.

CO3: Integrate relevant data, prompts, models, or AI tools to build functional HR applications.

CO4: Test, evaluate, and improve AI applications based on performance, usability, and HR requirements.

CO5: Demonstrate and present a practical AI-enabled HR solution while considering ethical, privacy, and responsible AI principles.

Creates awareness of disaster risks, preparedness, mitigation, response and recovery strategies.

Course Outcome:

CO1: Explain the concepts, types, causes, and impacts of natural and human-induced disasters.

CO2: Analyse disaster risks, vulnerabilities, capacities, and their implications for communities and sustainable development.

CO3: Apply the principles and strategies of disaster prevention, mitigation, preparedness, and risk reduction.

CO4: Examine the institutional framework, policies, and mechanisms for disaster response, relief, recovery, and rehabilitation.

CO5: Develop basic disaster preparedness and risk-management plans for individuals, communities, and organisations.

CO6: Evaluate the role of technology, community participation, and sustainable practices in building disaster resilience.

Enhances advanced career, leadership, communication, networking and workplace competencies.

6TH SEMESTER (OPTION A) SUBJECTS

Provides an advanced integrated project through which students apply business, analytics and AI knowledge to a real-world problem.

Provides intensive practical exposure to organizational operations and enables students to apply academic knowledge in a professional environment.

6TH SEMESTER (OPTION B) SUBJECTS

Introduces techniques for analyzing businesses and evaluating their financial performance and value for managerial decision-making.

Course Outcome:

CO1: Understand the role of financial statements in business analysis and decision-making.

CO2: Conduct a comprehensive financial analysis using various tools and ratios.

CO3: Analyse and interpret financial statements to assess business performance.

CO4: Apply valuation models to determine the value of a business or its components.

CO5: Evaluate strategic decisions using business valuation techniques.

CO6: Critically analyse real-life case studies and formulate business valuation reports.

Introduces emerging technologies and their applications in business, management, analytics and digital transformation.

Course Outcome:

CO1: Explain basic concepts of emerging technologies.

CO2: Describe applications of AI, Blockchain, IoT, Cloud and Big Data in business.

CO3: Analyze the impact of digital transformation on business models.

CO4: Evaluate cybersecurity risks and ethical issues in technology adoption.

CO5: Develop a technology-based business idea or solution.

Introduces strategies and technologies for acquiring, retaining and developing profitable customer relationships.

Course Outcome:

CO1: Explain core CRM concepts and identify the right CRM system for a business context.

CO2: Analyse customer behaviour and apply effective segmentation strategies.

CO3: Design customer acquisition funnels and structured onboarding journeys.

CO4: Develop retention strategies and loyalty programmes to reduce churn.

CO5: Use CRM tools and analytics to manage data and generate actionable insights.

CO6: Build and present a comprehensive CRM implementation strategy

Introduces investment planning, risk-return analysis, portfolio construction and investment decision-making.

Course Outcome:

CO1: Explain the concepts, process and avenues of investment.

CO2: Apply security analysis techniques for investment decisions.

CO3: Evaluate risk and return of individual securities and portfolios.

CO4: Develop and assess investment portfolios using standard models.

CO5: Analyze mutual funds and investment services for investors.

CO6: Understand emerging trends and contemporary issues in investment management.

fees

Details

Amount

Programme Fees (per Semester)

70000

Examination Fees

3000

International Fees (per Year)

$3400

Fee Slab

Slab >=60% - 74.99% >=75% - 89.99% >=90% & Above
Fee ₹65000 ₹60000 ₹55000

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.

Programme Outcomes

Business Analytics is the practice of analysing data to understand what a business needs to do to improve its bottom line. Aspirants can create useful insights for guiding decisions and determining the best courses of action for a company or organisation by developing mathematical models from data. BBA in Business Analytics is a course that is data-driven and it drives business decisions to keep them agile and competitive. 

Programme Specific Outcomes

The course mixes the use of computer programming with business intelligence and data analysis. Reputed businesses all around the world require business analysts and data analysts who can drive viable and practical insights from the data obtained with the use of particular technologies and procedures.

Salient Features

BBA as an undergraduate degree normally does not require students to take any entrance tests because most colleges offer this programme on the basis of merit. Certain universities and colleges, on the other hand, hold entrance exams. Students may be required to take the same exam in order to be admitted to the BBA in Business Analytics programme. However, such exams are only required if the student is not admitted to the course on the basis of merit.

Infrastructure