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 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 2023. 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.
CB
Department code
UG
Undergraduate
11
People on the roster
2
Published laboratories
Vision & mission
Our vision
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 department
Dr. Vinutha H P
Professor & Head
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
11 peopleOpen in the staff directory →
Vinutha H PProfessor & Head
Shivamurthy DAssistant Professor
Priyanka D VAssistant Professor
Priyanka R NavaleAssistant Professor
Divya PatilAssistant Professor
Priya VAssistant Professor
Madhu B GAssistant Professor
Nethra SAssistant Professor of Practice
Priyanka PAssistant Professor
Chethan B KInstructor
Kenchappa NPeon
Infrastructure
Placement
| Year | Companies | Placed · In-campus | Placed · Off-campus | Total | Highest package |
|---|---|---|---|---|---|
| 2026 | 15 | 31 | 0 | 31 | 5.5 LPA |
SWOT
The department’s own assessment of where it stands, as published for accreditation.
Strengths10
- Industry-designed curriculum developed in collaboration with Tata Consultancy Services (TCS).
- Unique interdisciplinary program integrating Computer Science, Business Systems, Analytics, and Management.
- Experienced and dedicated faculty with expertise in Artificial Intelligence, Machine Learning, Cloud Computing, IoT, DevOps, Data Analytics, and emerging technologies.
- Well-equipped laboratories, smart classrooms, LCD-enabled teaching facilities, and modern infrastructure.
- Strong industry interaction through workshops, expert lectures, industrial visits, internships, and TCS collaboration.
- NAIN incubation project funding promoting innovation, entrepreneurship, and research culture.
- Active CS2BiZ technical forum conducting innovative events such as Cipher Chase, AI & ML workshops, MERN Stack Skill Development Programs, and peer-learning initiatives.
- Excellent student achievements in hackathons, technical competitions, IEEE activities, cultural events, and campus placements.
- Strong emphasis on experiential learning through projects, internships, certifications, and industry-oriented training.
- Growing placement opportunities with reputed companies including IBM and Cognizant.
Weaknesses7
- Relatively new department established in 2022 with a developing academic reputation.
- Limited alumni network compared to established engineering departments.
- Research publications, patents, and externally funded projects are still in the early stages.
- Limited international collaborations and student exchange programs.
- Student intake and departmental visibility are still expanding.
- Dedicated postgraduate (PG) programs and research centers are yet to be established.
- Limited number of faculty members due to the department's recent establishment.
Opportunities8
- Expand collaborations with TCS and other multinational companies for internships, live projects, certifications, and placements.
- Introduce specialized domains such as Business Analytics, FinTech, Generative AI, Digital Transformation, and Intelligent Business Systems.
- Establish funded research centers and innovation labs in AI, Data Science, and Business Intelligence.
- Increase consultancy, patent filings, startups, and incubation activities through NAIN and entrepreneurship initiatives.
- Strengthen international collaborations, student exchange programs, and industry-sponsored laboratories.
- Improve placement opportunities with global product-based companies.
- Strengthen student engagement through the IEEE Student Branch, IEEE Computer Society, hackathons, coding clubs, and technical competitions.
- Attract higher student admissions due to increasing demand for interdisciplinary professionals combining technology and business skills.
Threats8
- Strong competition from established Computer Science, AI & ML, Data Science, and Information Science programs.
- Rapid technological advancements requiring frequent curriculum updates.
- Increasing competition among engineering colleges for quality students and placements.
- Economic slowdowns affecting campus recruitment.
- Shortage of highly skilled faculty in emerging technologies.
- Changing industry expectations requiring continuous faculty upskilling.
- Competition from online certification platforms and industry training academies.
- Reduced student preference if awareness about the CSBS program remains limited.