BBA Business Analytics Curriculum

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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.