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MBA (Business Analytics) Work-Linked Degree Program

Home: Work-Linked Degree Programs MBA (Business Analytics) Work-Linked Degree Program

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Study, Work and Earn Together at the Same Time

Course Duration:

Course Duration:

2 Years

Course Fees:

Mode of Learning:

Online

Course Fees:

Medium of Instruction:

English

Course Fees:

Stipend

Earn up to ₹4.0 Lakhs/year with the internship of your choice*

Course Eligibility

Course Eligibility:

Bachelor's degree in any discipline with at least 55% marks from recognized University/ Institution with Mathematics/Statistics/Quantitative Techniques as one of the subjects at 10+2 or Graduation Level.

Graduates of recognized professional programmes like CA/ ICWA/CS etc. are also eligible to apply.

Internship Eligibility:

Age limit: 26 years

*Earnings depend on role, industry, company policies, and internship availability.

What are Work-Linked Degrees?

Our work-integrated degree program lets you gain practical work experience through internships, while completing your degree with Chandigarh University.

About The Course:

The MBA (Business Analytics) Work-Linked degree program offers a unique blend of management education and analytics expertise. Designed for aspiring professionals, this program integrates core business concepts with advanced analytical techniques.

Through this program, students gain practical experience by working on real-world projects, ensuring they develop the skills required to harness the power of data for business success. The program is ideal for individuals aiming to lead in the era of big data and digital transformation.


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Key Highlights:

Master the art of data-driven decision-making through a work-linked MBA in Business Analytics program.

Learn advanced analytical tools, predictive modeling, and business intelligence techniques.

Gain hands-on experience in using data to solve real-world business problems.

Blend academic knowledge with industry exposure for a competitive edge in analytics.

Prepare for high-demand roles in data analytics, strategy, and decision sciences.

Course Objectives:

To provide a deep understanding of business analytics and data-driven strategies.

To equip students with skills in predictive modeling, statistical analysis, and data visualization.

To integrate academic learning with practical work experience in analytics roles.

To develop problem-solving abilities using analytical tools for business challenges.

To prepare students for leadership roles in analytics and data-driven decision-making.

Learning Outcomes:

Acquire expertise in tools such as Python, R, Tableau, and SQL for data analytics.

Learn to apply analytical techniques to optimize business operations and strategy.

Gain hands-on experience through industry exposure and work-integrated projects.

Enhance decision-making skills by leveraging data insights and predictive models.

Build a robust foundation for careers in business analytics and strategy.

Course Structure


Subjects Credits

Statistical Analysis for Business Decisions

4

Business Analytics

4

Decision Science

4

Spreadsheet Modeling and Analysis

4

Introduction to Business Analytics

4

TOTAL

20
Subjects Credits

Multivariate Data Analysis

4

Business Research Methods

4

Quantitative Aptitude and Data Interpretation

4

Advance Python Programming

4

Data Mining

4

TOTAL

20
Subjects Credits

Predictive & Descriptive Analytics

4

Data Analysis for Business Decisions

4

Advance R Programming

4

Data warehousing and visualization

4

Big Data Analytics and tools

4

TOTAL

20
Subjects Credits

Planning Analytics

4

Sectoral Analytics

4

Business Forecasting & Time series

4

Predictive Modeling

4

Machine Learning

4

TOTAL

20
Marketing
S.N Course Name
1 Marketing Analytics / Advertising and Brand Management
HRM
S.N Course Name
1 Human Resource Analytics and Organisation Change & Development
International Business
S.N Course Name
1 Export Import Documentation and International Economics
Entrepreneurship
S.N Course Name
1 Entrepreneurial Strategies-I and Social Entrepreneurship
Business Analytics
S.N Course Name
1 Spreadsheet Modeling and Analysis
2 Introduction to Business Analytics
3 Advance Python Programming
4 Data Mining
5 Advance R Programming
6 Data warehousing and visualization
7 Big Data Analytics and tools
8 Business Forecasting & Time series
9 Predictive Modelling
10 Machine Learning
11 Database Management using SQL

Course Fee


Admission Fee: INR 1,000

Course Fee (Per Semester): INR 50,000 INR 45,000

10% Early Bird Discount on Programme Fee


MBA Business Analytics SEM 1
SEM 2
SEM 3
SEM 4
Course Fee (Discounted) 45,000 45,000 45,000 45,000
INR 2,00,000 After Early Bird Discount INR 1,80,000

Career Opportunities:

Business Analyst

Data Scientist

Analytics Consultant

Strategy Manager

Operations Analyst

Decision Scientist

Frequently Asked Questions (FAQ's)

  • You’ll gain proficiency in tools like Python, R, Tableau, and SQL, along with business intelligence and analytics techniques.
  • Yes, the program equips you with analytics and business strategy skills, ideal for roles like business analyst or decision scientist.
  • Yes, you’ll work with organizations to apply management concepts, gaining practical exposure alongside theoretical learning.
  • You can pursue roles in data analytics, business intelligence, operations analysis, and strategy consulting.
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