BBA (Hons. with Research) Specialization in Business Analytics (In association with IBM)

About the Programme

The Bachelor of Business Administration (Honours with Research) in Business Analytics specialization in association with IBM is designed to equip students with advanced knowledge in data-driven decision-making, predictive analytics, and business intelligence. This four-year programme combines rigorous academic curriculum with practical business analytics tools, techniques, and methodologies. Students will develop expertise in leveraging big data, artificial intelligence, and machine learning to solve complex business problems while maintaining strong ethical and professional standards. The programme emphasizes both theoretical foundations and industry-relevant practical applications, preparing graduates for leadership roles in diverse sectors including finance, retail, healthcare, manufacturing, and technology. With an optional research component in the final year, students can undertake advanced research projects in emerging areas of business analytics and contribute to the field while developing critical thinking and innovation skills.

Eligibility

Minimum 50% marks in Class 12th in any stream

Students with a CUET / SAT (DI Code - 71057) score will be given preference in the merit list

For Migration from Other Universities:

1) BBA in Business Analytics - 1st year: minimum 50% marks or 5.0 CGPA on a 10 point scale

2) Class XII with minimum 50% Marks

Fee Structure

Duration

4 Years

Tuition Fee (per annum)

1,47,500

Exam Fee (per annum)

20,000

Medical Insurance (Per Annum)

650

Caution Money (One Time Payment )

2000

Student ID Card

1000

Program Structure

Programme Educational Objectives

Data-Driven Strategic Leadership: Graduates will develop the capability to lead organizations by leveraging data analytics and business intelligence to drive strategic decision-making, enhance operational efficiency, and create competitive advantage in dynamic market environments.

Ethical Analytics and Responsible Innovation: Graduates will integrate advanced analytics with ethical principles, ensuring responsible use of data and AI technologies while maintaining compliance with regulatory frameworks and promoting social responsibility.

Industry-Aligned Innovation and Lifelong Growth: Graduates will engage with emerging analytics technologies and industry trends, continuously upskilling themselves to remain competitive and contribute meaningfully to organizational innovation and digital transformation.

Cross-Functional Problem Solving: Graduates will apply integrated knowledge from business, finance, marketing, operations, and technology to address complex organizational challenges through evidence-based analytics solutions.

Programme Specific Outcomes (PSOs)

Design and implement business analytics solutions and strategies that optimize key business functions including finance, marketing, operations, and human resources for sustainable organizational growth and competitive positioning.

Utilize advanced analytics tools, big data technologies, and AI-driven methodologies to extract actionable business insights and support evidence-based decision-making across diverse organizational functions and industry sectors.