About the department
Computer Science & Business Systems is a specialised undergraduate programme designed with Tata Consultancy Services to meet the demands of a fast-moving IT industry. The curriculum, developed by global industry experts together with academia, integrates analytics, deep learning, machine learning, cloud computing and the internet
Computer Science & Business Systems is a specialised undergraduate programme designed with Tata Consultancy Services to meet the demands of a fast-moving IT industry. The curriculum, developed by global industry experts together with academia, integrates analytics, deep learning, machine learning, cloud computing and the internet of things, so that graduates are equipped for Industry 4.0 and what follows it. It also carries humanities, value-added sciences and related subjects, making for a rounded education. The programme admits 60 students and commenced in 2022. The department runs state-of-the-art infrastructure including high-speed internet and wireless networks, and its faculty bring teaching and research experience along with active industry-institute collaboration. Graduates are expected to be sought after for the combination of technical and business understanding the programme is built around.
Vision & mission
To be a Centre-of-excellence by imbibing state-of-the-art technology in the field of Computer Science and Engineering, thereby enabling students to excel professionally and be ethical.
Mission
- 01Deliver quality education through innovative teaching and experiential learning practices that foster analytical thinking, creativity, and problem-solving abilities.
- 02Promote an interdisciplinary learning environment by integrating computer science with business systems, enabling students to develop technical expertise, business acumen, and innovation-driven solutions.
- 03Strengthen industry–institute collaboration through internships, industry projects, expert interactions, and skill development programs to prepare students for global careers and entrepreneurship.
- 04Nurture socially responsible, ethical, and lifelong learners with leadership qualities, professional integrity, teamwork, and a commitment to sustainable development.
Objectives
Programme Educational Objectives(PEO)
- 01Graduates apply their knowledge of Computer Science, Business Systems, and emerging technologies to develop innovative, efficient, and sustainable solutions for real-world industrial and societal challenges.
- 02Graduates will excel in professional careers, higher education, research, and lifelong learning by continuously enhancing their technical, analytical, and managerial competencies.
- 03Graduates will demonstrate entrepreneurial mindset, innovation, and business acumen to design, develop, and manage technology-driven products, services, and startups that create value for society and industry.
- 04Graduates will become responsible professionals and effective leaders who exhibit strong communication, teamwork, ethical values, and decision-making skills while working in multidisciplinary and global environments.
Programme Specific Outcomes(PSO)
- 01Apply the principles of Computer Science, Business Systems, and analytical techniques to identify, analyze, and develop innovative solutions for complex industrial, organizational, and societal problems.
- 02Design, develop, deploy, and manage secure, scalable, intelligent, and business-oriented software systems by adopting modern software engineering practices and emerging computing technologies.
- 03Utilize emerging technologies such as Artificial Intelligence, Machine Learning, Data Analytics, Cloud Computing, Internet of Things (IoT), Blockchain, and Business Intelligence to build technology-driven solutions that support digital transformation and informed business decision-making.
Head of department
Head of Computer Science and Business Systems, and also of Information Science and Engineering, with 18 years of experience and a PhD in computer science and engineering. She has served as NIRF coordinator and as Dean of the Incubation Centre. Her research runs to intrusion detection and artificial intelligence, and she holds a patent for an AI-based antenna for 5G. She has organised workshops and hackathons, taken part in programmes run by IBM and Infosys, and is a member of ISTE, IEEE and the Institution of Engineers.
Faculty & staff
Infrastructure
Placement
| Year | Companies | Placed · In-campus | Placed · Off-campus | Total | Highest package |
|---|---|---|---|---|---|
| 2026 | 15 | 31 | 0 | 31 | 5.5 LPA |
