10+2 or its equivalent examination in any stream conducted by a recognized Board with at least 50% marks in the aggregate.
*Earnings depend on role, industry, company policies, and internship availability.
Our work-integrated degree program lets you gain practical work experience through internships, while completing your degree with Chandigarh University.
The BBA Business Analytics Work-Linked degree program is designed for students passionate about combining business knowledge with data-driven insights. This innovative program equips learners with the skills needed to thrive in analytics-driven industries, offering the perfect blend of academic rigor and industry exposure.
As a Work-Linked BBA Business Analytics course, this program covers core business principles alongside modules on data analytics, statistical modeling, and predictive analysis. Students gain hands-on experience in analytics tools while working with industry leaders, ensuring they are job-ready upon graduation.
Combine business management skills with advanced analytics through a Work-Linked BBA Business Analytics course.
Gain real-world industry exposure while pursuing the BBA Business Analytics Work-Linked degree program.
Learn cutting-edge data analytics tools and techniques in a Work-Linked BBA with Business Analytics format.
Flexible learning options that integrate practical work experience with academic learning.
Build a strong foundation for data-driven decision-making and analytics leadership roles.
To provide a deep understanding of business management concepts and their integration with analytics.
To equip students with practical knowledge of analytics tools and techniques through a work-linked framework.
To foster critical thinking and data-driven decision-making capabilities.
To prepare students for analytics-focused roles through experiential learning.
To enable students to effectively interpret data and drive strategic business outcomes.
Acquire a strong foundation in business management and analytics techniques.
Gain proficiency in analytics tools such as Excel, Tableau, and Python.
Develop the ability to analyze and interpret complex data to inform business decisions.
Enhance employability with practical experience gained while working.
Build the skills needed to succeed in roles that require analytical thinking and business acumen.
| Subjects | Credits |
|---|---|
|
Microeconomics |
4 |
|
Management Principles and Organizational Behaviour |
4 |
|
Communication Skills |
4 |
|
Introduction to Business Analytics and Computer programming |
4 |
|
Basic to Advance Excel |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Macroeconomics |
4 |
|
Human Resource Management |
4 |
|
Business Mathematics and Statistics |
4 |
|
Data Mining |
4 |
|
Introduction to Programming - I (using Python) |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Marketing Management |
4 |
|
Research Methodology |
4 |
|
Data Visualization |
4 |
|
Database Management |
4 |
|
Introduction to Programming - II (using R) |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Operations Research |
4 |
|
Commercial & Company Law |
4 |
|
Social Media Analytics |
4 |
|
Business Modeling |
4 |
|
Predictive Analytics |
4 |
|
TOTAL |
20 |
| Subjects | Credits |
|---|---|
|
Strategic Management |
4 |
|
Business Environment |
4 |
|
Big Data Analytics |
4 |
|
Machine Learning for Business (Unsupervised) |
4 |
|
Case Study / Mini Project |
8 |
|
TOTAL |
24 |
| Subjects | Credits |
|---|---|
|
Industrial Relation and labor law |
4 |
|
Dissertation 1/ Capstone project |
8 |
|
Time Series Forecasting |
4 |
|
Business Tools - SAS, SPSS, Orange 3 |
4 |
|
TOTAL |
20 |
| S.N | Course Name |
|---|---|
| 1 | Entrepreneurship |
| 2 | Behavioral and Personal Finance |
| 3 | Innovation and expansion in family managed business |
| 4 | Internationalization of Family Managed Business |
| S.N | Course Name |
|---|---|
| 1 | Training and Development |
| 2 | Compensation Management |
| 3 | HR Analytics |
| 4 | Organizational change and development |
| S.N | Course Name |
|---|---|
| 1 | Advertising & Brand Management |
| 2 | Sales and Distribution Management |
| 3 | Services Marketing |
| 4 | Rural marketing |
| S.N | Course Name |
|---|---|
| 1 | Foreign exchange Management for business |
| 2 | Treasury Management |
| 3 | Global Financial Environment |
| 4 | International Economics and Trade |
| S.N | Course Name |
|---|---|
| 1 | Introduction to Business Analytics and Computer programming |
| 2 | Basic to Advance Excel |
| 3 | Data Mining |
| 4 | Introduction to Programming - I (using Python) |
| 5 | Data Visualization |
| 6 | Database Management |
| 7 | Introduction to Programming - II (using R) |
| 8 | Social Media Analytics |
| 9 | Business Modelling |
| 10 | Predictive Analytics |
| 11 | Big Data Analytics |
| 12 | Machine Learning for Business (Unsupervised) |
| 13 | Time Series Forecasting |
| 14 | Business Tools - SAS, SPSS, Orange 3 |
| 15 | Unstructure Data Analysis - Image, Audio and Video |
| BBA Business Analytics | SEM 1 | SEM 2 | SEM 3 | SEM 4 | SEM 5 | SEM 6 |
| Course Fee (Discounted) | 27,550 | 27,550 | 27,550 | 27,550 | 27,550 | 27,550 |
Data Analyst
Business Intelligence Analyst
Market Research Analyst
Operations Analyst
Data Consultant
