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MBA – IBM (Business Analytics / AI for Managers)

program-details

The MBA in Business Analytics / AI for Managers – IBM is designed to develop managerial,
analytical and technology-driven capabilities for decision-making in a dynamic business
environment. The programme integrates business management, business analytics, artificial
intelligence, data-driven decision-making, predictive modelling and modern IT tools.
Through practical learning, industry projects, internships, workshops and expert interactions,
students develop critical thinking, problem-solving, leadership, entrepreneurial and
technological skills. The programme prepares students for emerging careers in business
analytics, AI, data science, digital transformation, fintech, marketing analytics and strategic
management.

Industry Immersion

Industry Immersion provides students with practical exposure to the application of Business Analytics and Artificial Intelligence in real-world organizations. Students engage in industry visits, live projects, internships, case studies, workshops and expert sessions involving data analysis, business intelligence, AI applications, predictive analytics and digital transformation. Students learn to use data and technology to identify business problems, generate insights, support managerial decisions and develop innovative solutions, while gaining professional experience in multidisciplinary work environments.

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)

Duration

2 Years

Curriculum

1ST SEMESTER SUBJECTS

Develops understanding of management functions and organizational behaviour, including individual, group and organizational dynamics.

Develops understanding of accounting principles and financial information for managerial planning, control and decision-making.

Applies economic concepts and analytical tools to managerial decision-making and business problems.

Introduces the legal framework and business environment affecting managerial decisions and organizational operations.

Develops statistical skills for analysing, interpreting and presenting data for managerial decision-making.

Develops communication, interpersonal, leadership and professional skills required for corporate environments.

Develops understanding of production systems, process management, quality, capacity and operational efficiency.

Examines ethical decision-making, corporate responsibility, stakeholder interests and responsible business practices.

Develops practical skills in using Python to analyse, visualize and communicate business data effectively.

Provides hands-on experience in Python-based data visualization, data manipulation and graphical presentation of business information.

2ND SEMESTER SUBJECTS

Develops understanding of financial planning, investment, financing, working capital and financial decision-making.

Develops understanding of marketing strategy, consumer needs, segmentation, marketing mix and market-oriented decisions.

Develops understanding of recruitment, training, performance, compensation and strategic human resource practices.

Develops quantitative techniques for solving managerial problems involving optimization, allocation and decision-making.

Develops logical, quantitative and analytical abilities for managerial problem-solving and evidence-based decisions.

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.

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.

DISCIPLINE SPECIFIC ELECTIVE – I

Introduces data science concepts, methods and tools for extracting insights and supporting data-driven business decisions.

Develops understanding of BI tools and techniques for transforming business data into actionable managerial insights.

Provides hands-on experience with business intelligence tools, data preparation, dashboards and analytical reporting.

Develops a human-centred approach to identifying problems, generating ideas, prototyping and developing innovative solutions.

Provides practical experience in applying design-thinking tools through ideation, prototyping and problem-solving exercises.

Applies analytical techniques to digital marketing data for campaign evaluation, customer insights and decision-making.

Explores the use of game-based principles and mechanisms to improve engagement, learning, customer experience and business outcomes.

Examines management practices, products and strategic operations within financial services institutions.

Develops skills in analysing securities and constructing portfolios based on risk, return and investment objectives.

Introduces operational processes, products, risk management and service delivery in banking and insurance.

Develops understanding of marketing strategies for intangible services, customer experience and service quality.

Examines psychological, social and cultural factors influencing consumer decisions and purchasing behaviour.

Develops understanding of retail strategies, customer management, merchandising and retail operations.

Introduces HR information systems and digital tools used to manage workforce information and HR processes.

Develops strategies for attracting, developing, evaluating and retaining organizational talent.

Focuses on employee development, learning, training, career development and organizational capability building.

Develops understanding of foreign trade procedures, policies, regulations and international business operations.

Develops knowledge of export-import procedures, documentation, trade regulations and cross-border transactions.

Develops skills for managing cultural diversity and organizational practices across international environments.

Develops understanding of e-commerce models, platforms, digital transactions and online business operations.

Introduces digital marketing tools and technologies used for campaign development, customer engagement and performance tracking.

Applies analytics to e-commerce data for understanding customers, transactions, sales and digital business performance.

Examines entrepreneurial approaches to addressing social and community problems through sustainable ventures.

Develops strategic approaches for identifying opportunities, building ventures and achieving entrepreneurial growth.

Develops understanding of funding sources, financial planning, valuation and financial decisions in entrepreneurial ventures.

Examines digital banking models, technologies, services and customer-centric digital financial solutions.

Introduces blockchain technology, decentralized systems and cryptocurrency concepts and applications.

Examines analytical approaches to fraud detection along with legal and regulatory aspects of cyber activities.

Introduces planning, design, infrastructure and maintenance considerations for efficient hospital facilities.

Introduces epidemiological concepts and statistical methods used for analysing health and healthcare data.

Develops understanding of procurement, inventory, storage and distribution of materials in healthcare organizations.

Introduces fundamental concepts, components, trends and principles of tourism management.

Examines management functions and human behaviour in hospitality organizations and service environments.

Explores food, cuisine and culinary experiences as tourism products and drivers of destination development.

3RD SEMESTER SUBJECTS

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

Develops understanding of strategic analysis, competitive positioning, strategy formulation, implementation and evaluation.

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.

DISCIPLINE SPECIFIC ELECTIVE – 2

Applies analytics to sector-specific business problems to generate insights and support strategic decisions.

Provides practical experience in analysing sector-specific datasets and developing analytical outputs.

Introduces predictive modelling techniques for forecasting outcomes and supporting data-driven business decisions.

Provides hands-on experience in developing and evaluating predictive models using business datasets.

Examines AI concepts and applications for improving business processes, decision-making and organizational performance.

Provides practical experience in applying AI techniques to business problems and use cases.

Introduces deep learning concepts, neural networks and their applications to complex business and analytical problems.

Develops managerial skills for interpreting and communicating data through effective visualizations and dashboards.

Uses data and analytical techniques to evaluate digital campaigns, customer behaviour and marketing performance.

Examines strategic, financial and managerial aspects of mergers, acquisitions and corporate restructuring.

Develops understanding of derivative markets, instruments, trading mechanisms and risk management.

Examines international financial markets, foreign exchange, cross-border financing and global financial decisions.

Develops strategies for product development, positioning, branding and managing product portfolios.

Examines advertising strategies, brand communication, positioning and brand-building activities.

Develops skills in identifying marketing problems, collecting data, conducting research and interpreting findings.

Examines employer–employee relations, labour laws, collective bargaining and workplace dispute management.

Develops advanced approaches for aligning HR strategies with organizational goals and competitive advantage.

Examines HR practices and challenges associated with managing employees across international and multicultural environments.

Examines global trade processes, logistics networks, supply chains and cross-border movement of goods.

Develops strategies for marketing products and services across diverse international markets.

Develops strategic approaches for managing organizations in competitive and rapidly changing global markets.

Introduces affiliate-based digital promotion, partnership models, performance tracking and online revenue generation.

Develops strategies for social media communication, content, engagement, campaigns and digital brand building.

Introduces website-based marketing, search visibility, online engagement and web performance measurement.

Examines innovative marketing approaches used by startups and entrepreneurial ventures with limited resources.

Develops understanding of operational planning, processes, resources and scalability in startup ventures.

Develops advanced strategies for entrepreneurial growth, competition, innovation and venture sustainability.

Examines emerging technologies, business models and innovations shaping the contemporary financial technology ecosystem.

Explores entrepreneurial opportunities, business models, innovation and venture creation in financial technology.

Applies data analytics techniques to financial technology applications, customer insights and financial decision-making.

Introduces fundamental human biology and terminology used in healthcare and hospital management environments.

Develops understanding of quality standards, continuous improvement and quality assurance practices in healthcare.

Examines planning and management of essential support and utility services required for hospital operations.

Examines emerging technologies and digital innovations transforming hospitality and tourism operations and experiences.

Develops understanding of information systems used to support hospitality operations, customer management and decision-making.

Develops understanding of travel agency functions, tour planning, booking processes and tourism operations.

4TH SEMESTER (OPTION A)

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.

4TH SEMESTER (OPTION B)

Develops understanding of India's financial system, financial institutions, markets and major financial instruments.

Examines governance mechanisms, board responsibilities, transparency, accountability and ethical corporate practices.

Develops entrepreneurial competencies, opportunity recognition, innovation and skills for venture creation and growth.

Develops understanding of digital channels, online campaigns, customer engagement and digital marketing performance.

Develops understanding of sales planning, sales-force management, territory management and sales performance.

Programme Outcomes

  • PO-01: Shoulder the managerial positions in various sectors of the economy with conceptual, analytical and descriptive abilities.
  • PO-02: Comprehend different business complex environment challenges and work accordingly.
  • PO-03: Become good decision makers with critical thinking and problem-solving skills.
  • PO-04: Inculcate managerial as well as entrepreneurial skills and contribute to the economic development of the nation.
  • PO-05: Acknowledge management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO-06: Create, select, and apply appropriate techniques, resources and modern management and IT tools including prediction and modelling to complex management activities with an understanding of the limitations.
  • PO-07: Able to document their participation and contribution to student organizations, business or consulting projects, internship opportunities or other MBA sanctioned initiatives.
  • PO-08: Apply ethical principles and commit to professional ethics and responsibilities and norms of the management practice.
  • PO-09: Able to identify, assess and shape entrepreneurial opportunities and to evaluate their potential for business success.
  • PO-10: Able to demonstrate their ability to assess and evaluate the dynamic internal and external elements of the competitive global environment.

Programme Specific Outcomes

  • PSO1: Comprehend the business environment and develop strategies promptly for business profitability and competitive advantage.
  • PSO2: Demonstrate competence to contribute to rationale business decisions based on management principles and analysis.
  • PSO3: Excellent adaptability to function in multi-disciplinary work environment, good interpersonal skills as a leader in a team in appreciation of professional ethics and societal responsibilities.

Salient Features

  • Integration of management, analytics and artificial intelligence.
  • Industry-oriented and technology-driven curriculum.
  • Focus on data-driven business decision-making.
  • Practical exposure through live projects, internships and case studies.
  • Training in Business Intelligence, Predictive Analytics and AI applications.
  • Exposure to modern IT tools, data modelling and analytics techniques.
  • IBM-oriented learning and industry exposure.
  • Industry interaction through expert sessions, workshops and seminars.
  • Development of leadership, critical thinking and problem-solving skills.
  • Strong focus on entrepreneurship, innovation and digital transformation.
  • Emphasis on ethical AI, professional integrity and responsible decision-making.
  • Career opportunities in Business Analytics, AI, Data Science, Consulting, Fintech and Digital Transformation.
  • Dedicated development of communication, soft skills, interview skills, GD and personality development for career readiness.

Infrastructure