B.B.A

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BBA | BA (Business Analytics)

Undergraduate programme focusing on the study of business analytics and data-driven decision-making.
Covers subjects such as data analysis, statistics, data visualisation, and predictive modelling.
Emphasises the application of analytics tools and techniques in business contexts.
Includes case studies and projects using real-world datasets.
Taught by experienced faculty with expertise in business analytics.

Duration

3 Years

Programme Type

Full-time

Programme Fees

₹57,500/- per semester

Programme Regulations

Programme Structure 2025

PDF is being developed by the Academic Council; the updated list will be shared once approved.

Eligibility Criteria

Candidates should have passed PUC/12th standard or equivalent from any stream.

Scope & Objectives

Scope:

The Business Analytics programme is designed to address the growing need for graduates with strong business fundamentals and analytical capabilities.
Students develop skills to help organisations understand customers, forecast demand, and utilise big data for informed decision-making.
Career prospects include roles in risk analysis, data analysis, and data science.
Global Immersion Model (GIM): Includes short-term international modules or sessions delivered by visiting international faculty.
Industry-facing curriculum delivered partly by practising professionals.
Faculty drawn from academia and the corporate sector.
Opportunities for international internships and global interactions with corporate leaders.
Exposure to international seminars and conferences.
Experiential learning through student clubs and campus engagement.
Multiple internships including minor, summer, and community-based internships.

Objectives:

Business Acumen: To develop a deep understanding of core business functions and data-informed decision-making.
Analytical Proficiency: To build strong foundations in data interpretation and analytical techniques.
Global Readiness: To prepare students for opportunities in global business settings through immersive exposure.
Industry Integration: To bridge the gap between academia and industry through real-world projects.
Ethical Understanding: To instill values of responsible data usage and ethical business practices.
Lifelong Learning: To encourage adaptability and continuous upskilling in a rapidly evolving domain.

Programme Assessment

Choice-Based Credit System (CBCS): Allows flexibility in course selection and credit accumulation.
Grades and GPA: SGPA and CGPA measure academic performance semester-wise and cumulatively.
Prescribed Curriculum: Based on the university’s Scheme of Teaching and Evaluation. Includes MOOCs and SWAYAM modules.
Auditing Courses: Students may audit non-credit courses for additional learning.
Evaluation System: Comprises 50% Continuous Internal Evaluation (CIE) and 50% Semester End Examination (SEE).
Assessment Methods: May include assignments, quizzes, seminars, group work, case studies, presentations, and industry projects.
Semester End Examination: Conducted for all subjects unless exempted by full internal evaluation.
Makeup Examinations: Available for students who do not pass SEE, offering a chance to improve grades.

Programme Structure

Semester I

Financial Accounting
Business and Technology
Business Economics (Micro-Economics)
Business Mathematics
Hindi / Kannada / English
Active Communication
Creating with AI
Community Service Programme – I

Semester II

Principles and Practices of Management
Python Programming
Statistics with R
Corporate Business Law
Advanced Excel
Design Thinking
Career Preparedness Program-I
Service Programme – II

Semester III

SaS and Tableau
Human Resource Management
Operations Management
Marketing Management
MOOC*
Indian Constitution
Career Preparedness Program-II
Community Service Programme – III

Semester IV

Financial Management
Structured Query Language
Social Media Analytics
Business Research Methods
Organisational Behavior
Introduction to Philosophical Thoughts
Career Preparedness Program-III

Programme Outcome

Develop the requisite business acumen to understand key business functions and identify opportunities for effective business management.
Acquire knowledge and skills in management to analyze business problems and design appropriate solutions.
Demonstrate critical thinking abilities in addressing managerial issues, challenges, and business opportunities within a global business context.
Cultivate ethical sensitivity in decision-making to ensure sustainable business success.

Course Outcomes Visit

What expertise do you gain?

R or Python Analytics Tool
Data manipulation, data visualization, and statistical analysis
Derive insights and make data-driven decisions
Predictive modeling and forecasting techniques

Career Opportunities

01
Business analyst
02
Data analyst
03
Market research analyst
04
Data visualization specialist
05
Operations analyst
06
Financial analyst

Placements at CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

My name is Shantanu Jaiswal, a student of BBA - Business Analytics, batch of 2022-2025. I am extremely grateful to have been placed at Slice as a KYC Associate .The placement process was well-organized, and I truly appreciate the guidance and support provided by the placement cell throughout the journey. This opportunity has marked a significant step in my career, and I sincerely thank the entire team for their efforts and encouragement. CMR University's strong industry connections and dedicated placement team helped me secure a role at Newtap Finance Pvt Ltd. The university's emphasis on practical skills and real-world experience gave me the confidence and expertise to excel in my position. I'm grateful for the opportunity to launch my career with such a great company.

Shantanu Jaiswal

BBA - Business Analytics