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BBA Business Analytics Curriculum

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    Admissions Open 2026







    BBA Business Analytics Syllabus at BMU

    The BBA Business Analytics syllabus at BML Munjal University blends core business subjects like marketing, finance and operations with analytics-focused learning, including data visualisation, Excel modelling and R. Along with real-world case studies, the curriculum also builds communication, critical reasoning and presentation skills, preparing students to make confident, data-driven business decisions.

    BBA Business Analytics Syllabus - Semester-wise

    Semester 1 Courses Credits L T P hrs/week
    AECC Business Communication 3 2 0 2 4
    Core Financial Accounting 3 2 0 2 4
    Core Economics for Managers 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    Perspective To be Chosen 2 1 0 2 3
    Skills To be Chosen 2 1 0 2 3
    16 10 0 12 22

    Semester 2 Courses Credits L T P hrs/week
    AECC Environmental Studies and Disaster Management 3 2 0 2 4
    Core Cost and Management Accounting 3 2 0 2 4
    Core Marketing Management 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    Perspective To be Chosen 2 1 0 2 3
    Skills To be Chosen 2 1 0 2 3
    Project Summer Internship (Social Project) 6 6
    16 10 0 12 22

    Semester 3 Courses Credits L T P hrs/week
    Core Organisational Behaviour 3 2 0 2 4
    Core Operations Management 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    Skills To be Chosen 2 1 0 2 3
    Perspective To be Chosen 2 2 0 1 3
    16 11 0 11 22

    Semester 4 Courses Credits L T P hrs/week
    Core Human Resource Management 3 2 0 2 4
    Core Financial Management 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    Skills To be Chosen 2 1 0 2 3
    Skills To be Chosen 2 1 0 2 3
    16 10 0 12 22
    Project Summer Internship 8 8

     

    Semester 5 Courses Credits L T P hrs/week
    Core Strategy 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    DSE Electives to be chosen (Before Mid-term) 2 2 0 0 2
    DSE Electives to be chosen (After Mid-term) 2 2 0 0 2
    Skills To be Chosen 2 1 0 2 3
    Skills To be Chosen 2 1 0 2 3
    Project Capstone Simulation 6
    23 12 0 10 22

    Semester 6 Courses Credits L T P hrs/week
    Semester 6
    Core International Business Management 3 2 0 2 4
    DSCC Electives to be chosen 3 2 0 2 4
    DSE Electives to be chosen (Before Mid-term) 2 2 0 0 2
    DSE Electives to be chosen (Before Mid-term) 2 2 0 0 2
    DSE Electives to be chosen (After Mid-term) 2 2 0 0 2
    DSE Electives to be chosen (After Mid-term) 2 2 0 0 2
    Skills To be Chosen 2 1 0 2 3
    Project Integrated Project 8
    24 13 0 6 19
    Total Academic Programme Credits 125 137
    Co-curricular Credits for Co-curricular Activities 1 in each semester 5
    TOTAL Programme CREDITS 130

    Introduction to Psychology
    Introduction to Sociology
    Living Literature and Arts
    Philosophy and Logic
    World Civilisations
    Indian Economy
    Political Science
    Social Communication
    Photograpgy and Video Editing
    Indian Culture & Ethos
    Foreign Language
    Contemporary Societal Issues
    Indian Constitution

     

    Business Communication
    Environmental Studies and Disaster Management

    Critical Reasoning and Systems Thinking
    Data Visualisation
    Effective Presentation skills
    Etiquette and Conversational Skills
    Excel Spreadsheet Modelling
    Joy Of Innovation
    Negotiation and Dispute Resolution
    Problem Solving and Consulting Skills
    Quantitative Techniques
    R for Data Engineering
    Resume Writing and Career Skills
    Selling, Negotiating and Persuading Skills
    Strategic Risk Taking Skills
    Teamwork and Leadership

     

    BA Sem 1 Business Organisation and Principles of Management
    BA Sem 2 Descriptive Business Analytics
    BA Sem 3 DataBase Management System and Data Warehousing
    BA Sem 3 Business Research Methodology
    BA Sem 4 Fundamentals of Artifical Intelligence and Machine Learning
    BA Sem 4 Predictive Business Analytics using R
    BA Sem 5 Design Thinking
    BA Sem 5 Digital and Social Media Marketing
    BA Sem 6 Privacy, Ethics and Regulations in Artificial Intelligence

    FAQs

    The syllabus includes core subjects such as organisational behaviour, business operations, strategic management, marketing essentials and financial management, along with analytics-focused courses.

    The programme emphasises hands-on learning through real-world case studies, business projects and practical assignments to develop industry-ready analytical skills.

    Generally, students need to have completed Class 12 or equivalent with a specified minimum percentage; specific admission criteria may be available on the university’s admissions page.

    Graduates typically pursue roles in business analysis, financial analysis, market research, data consultancy and strategic planning across various industries.

    While the primary focus is on business fundamentals, the syllabus integrates technical skills in data analytics and interpretation relevant to modern business practices.

    Yes, the syllabus places strong emphasis on developing critical thinking, problem-solving, communication and professional presentation skills.

    Absolutely. The syllabus is designed for students from various academic backgrounds, starting with foundational business concepts before gradually introducing analytical tools and techniques.

    Graduates often pursue advanced studies such as an MBA or specialised master’s programmes in analytics, data science or related fields.