B.Sc. in Computer Science + Economics
This interdisciplinary program blends computational techniques with economic theories to address real-world challenges. Students gain strong analytical and technical expertise in data systems, economic modelling, digital innovation, and decision-making. The program integrates practical projects, economic simulations, internships, and applied learning—preparing graduates for careers across technology, finance, analytics, and policy sectors.

Program Outcomes
Proficiency in computational methods, data analytics, and economic modelling.
Ability to interpret societal and market trends and make data-driven economic decisions.
Strong conceptual grounding enabling strategic decisions in tech-driven environments.
Practical readiness through internships, applied projects, and simulations.
Program Scope
Government roles such as Accounts Auditor, PGT Economics, Indian Economic Service Officer, SBI PO, and RBI Grade B Officer.
Careers in software development, web development, IT architecture, data analytics, database administration, system analysis, and network engineering.
Opportunities as software engineers, programmers, IT consultants, and system analysts.
Program Eligibility
10+2 in any stream with Mathematics as a compulsory subject; minimum 45% in Class 12.
Course Structure

Management
Develop managerial skills, leadership strategies, and decision-making capabilities for dynamic organisational environments.

Economics
Explore micro and macroeconomic principles, market dynamics, and their application in global and technological contexts.

Liberal Arts
Embrace a broad spectrum of disciplines, fostering critical thinking and cultural awareness through studies in humanities, social sciences, and arts.

Psychology
Delve into the human mind and behavior, studying psychological theories and practices that apply to various professional and personal contexts.

Business Studies
Provides an overview of core business concepts, including operations, marketing, finance, and entrepreneurship.

Data Science
Get hands-on with everything from coding and algorithms to systems and software. This is where you learn how digital tools are built, and how to build your own from the ground up.

Blockchain Technology
Teaches decentralised systems, cryptography, and the development of secure, transparent applications using blockchain technology

Cyber Forensics
Focuses on investigating digital crimes, securing data, and understanding forensic methodologies to tackle cyber threats.

Artificial Intelligence & Machine Learning (AI & ML)
Learn how smart systems work. From voice assistants to facial recognition, you’ll build the tech that’s already changing the way we live and work.





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