About the Programme
The Undergraduate Programme in Bachelor of Business Administration (BBA) in Decision Science (Industry Integrated) is offered by the School of Business and Management. The School believes in developing socially responsible business leaders with the spirit of inquiry through academic and industry engagement. The programme is designed based on the UGC Guidelines for Higher Education institutions to offer Apprenticeship / Internship embedded Degree Programme released in July 2020 to promote employability and active linkage between the higher education system and industry, non-commercial and commercial enterprises/organizations.
BBA Decision Science is a three-year programme with six semesters. This programme allows students to learn from the University and train as apprentices at Mu Sigma (A Decision Science Company) simultaneously.School being a member of AACSB and Ranked as 57 by NIRF’2023, the programme ensures the development of student’s independent thinking, decision-making capability and research aptitude. Learning, with eminent and qualified faculties, is enhanced through many pedagogical tools like case studies, presentations, internships, research projects, industrial visits, and live-projects at Mu Sigma under the guidance of industry experts. Aimed at the holistic development of the students, the School facilitates participation in various National and International fests. It also conducts many curricular and co-curricular activities on a regular basis. Social responsibility is a thrust area and students are encouraged to participate in community development initiatives. On successful completion of this programme, the eligible students will get employment offers from Mu Sigma.
Industry-Integrated Learning
Experience a unique three-year BBA programme that seamlessly combines academic excellence at the university with hands-on apprenticeship training at Mu Sigma, enabling students to apply classroom concepts to real-world business challenges.
Future-Ready Decision Science Curriculum
Develop expertise in business analytics, decision science, data-driven problem solving, and research through an industry-aligned curriculum enriched with case studies, live projects, internships, and experiential learning.
Holistic Development & Global Exposure
Build leadership, communication, innovation, and social responsibility through national and international fests, industrial visits, research projects, co-curricular activities, and community engagement initiatives.
Career-Driven Outcomes
Graduate with industry experience, professional competencies, and the opportunity to receive employment offers from Mu Sigma, preparing you for successful careers in analytics, technology, and business leadership.
Why Choose This Programme?
Multidisciplinary educational path
Industry-oriented courses and Project based learning
Enhance skills and add value through professional development sessions.
Knowledge of business analytics tools
Hands-on experience in addressing real-world challenges
Guaranteed job placement at Mu Sigma
Choose Your Track
Build intelligent, data-driven solutions that transform business decisions through analytics and artificial intelligence.
Design and manage robust data ecosystems that power scalable analytics and digital transformation.
Convert business data into actionable insights through visualization, reporting, and strategic decision support.
Lead cross-functional teams to deliver technology-driven projects and create sustainable business value.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Semester I
Semester 2 — Semester 2
Semester 3 — Semester 3
Semester 4 — Semester 4
Semester 5 — Semester 5
Semester 6 — Semester 6
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Decision Scientist → Machine Learning Engineer → Lead Data Scientist → Analytics Manager
Data Analyst → Data Engineer → Data Architect
Data Analyst → Business Intelligence Analyst → Analytics Manager
Software Developer → Apprentice Leader → Project Manager → Business Alliance Manager
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-11-25 23:45:00.