Vision

To develop the department as a global leader in knowledge dissemination and to perform cutting edge research in computer science in compliance with international standards

Mission

• To produce students by inculcating them with state-of-the-art education to make them technically competent in solving real time problems
• To kindle students as efficient IT professionals, researchers and entrepreneurs
• To enrich the students as social, ethical and value-based graduates to make significant contribution to the society

Programmes Offered

The Department of Computer Science offers a structured set of undergraduate, postgraduate, diploma, and doctoral programmes designed to cater to diverse academic needs, industry requirements, and research aspirations.

1. B.Tech. Computer Science and Engineering (CSE)

Level: Undergraduate

Duration of the programme: 4 Years (Eight Semesters)

Programme Type: Full-Time

Sanctioned Strength: 30+1

Mode of Selection: JEE (Main) / CUET-UG (as per CUTN policy)

Eligibility Criteria:

A candidate seeking admission to the B.Tech. Degree Programme shall have passed the Higher Secondary Examination (10+2 pattern) with Physics, Chemistry and Mathematics as mandatory subjects under Part III or any Examination recognized as equivalent, fulfilling eligibility norms of the University and Government of India. Admissions shall be made through ranking obtained by the candidate in national level examinations such as JEE(Main) or CUET-UG, subject to policy decisions of CUTN.

Programme Overview:

The programme blends strong engineering fundamentals with modern computing technologies. It equips students with skills in programming, system design, AI/ML, cybersecurity, data engineering, and problem-solving needed for careers in the tech industry or for higher studies.

Regulations R2026, Curriculum and Syllabi:

2. M.Sc. Computer Science

Level: Postgraduate

Duration of the programme: 2 Years (Four Semesters)

Programme Type: Full-Time

Sanctioned Strength: 30+1

Mode of Selection: CUET PG Score

Eligibility Criteria:

Bachelor’s degree in Computer Applications / Computer Science / Mathematics / or any Bachelor’s degree in science stream with Mathematics as one of the subjects for at least four semesters. Candidates should have secured a minimum of 60% marks or 6.5 CGPA (on a 10-point scale) in the qualifying degree examination for General Category, 55% marks or 6.0 CGPA (on a 10-point scale) for EWS/OBC (Non-creamy layer) and 50% aggregate marks or 5.5 CGPA (on a 10-point scale) for SC/ST candidates.

Programme Overview:

The M.Sc. Computer Science programme is a comprehensive two-year postgraduate course designed to provide students with advanced knowledge in computing, information technology, and research methodologies. The programme blends strong theoretical foundations with extensive practical exposure, ensuring students develop competence in algorithms, programming paradigms, system design, data analytics, artificial intelligence, and emerging technologies.
Introduced in the academic year 2016–17 under the School of Mathematics and Computer Sciences, the programme prepares students for roles in IT industries, software development, data-driven organizations, and academic or industrial research. With a curriculum aligned to current technological standards and supported by the Choice Based Credit System (CBCS), students gain interdisciplinary exposure, hands-on lab experience, and continuous evaluation through the Continuous Assessment Scheme (CAS). The programme equips graduates with the analytical, technical, and problem-solving skills necessary for a successful career in computing or for pursuing doctoral research.

Curriculum and Syllabi:

• Syllabus w.e.f. 2023-24
• Syllabus w.e.f. 2022-23
• Syllabus w.e.f. 2018-19
• OBE Syllabus

3. Post Graduate Diploma in Data Science (PGDDS)

Level: Postgraduate Diploma

Duration of the programme: 1 Year (Two Semesters)

Programme Type: Full-Time

Sanctioned Strength: 9 + 1

Mode of Selection: CUET PG Score

Eligibility Criteria:

Bachelor’s degree in Computer Applications / Computer Science / Mathematics / or any Bachelor’s degree in science stream with Mathematics as one of the subjects for at least four semesters. Candidates should have secured a minimum of 60% marks or 6.5 CGPA (on a 10-point scale) in the qualifying degree examination for General Category, 55% marks or 6.0 CGPA (on a 10-point scale) for EWS/OBC (Non-creamy layer) and 50% aggregate marks or 5.5 CGPA (on a 10-point scale) for SC/ST candidates.

Programme Overview:

The Post Graduate Diploma in Data Science (PGDDS) is an intensive one-year programme designed to equip learners with strong analytical, computational, and statistical skills essential for modern data-driven industries. The programme offers a balanced mix of theory and practical training in areas such as data analytics, machine learning, statistical modelling, big data technologies, Python programming, and visualization tools.
Introduced in the academic year 2023 -24 and developed to meet the growing industry demand for skilled data professionals, the PGDDS programme is ideal for graduates seeking to transition into Data Science, Business Analytics, AI-based roles, or advanced computational fields. The curriculum emphasizes real-world applications, hands-on laboratory sessions, and exposure to tools used in contemporary data ecosystems. By the end of the programme, learners are prepared for careers in data analysis, predictive modelling, data engineering, and research-oriented roles in both industry and academia.

Curriculum and Syllabi:

• Syllabus w.e.f. 2023-24

4. Ph.D. Computer Science

Eligibility Criteria:

A consistently good academic record and possessing a Degree in Computer Science / Information Technology or allied subjects, obtained from a recognized University/Institute or Foreign University equivalent (approved by AIU).

The Department of Computer Science offers a robust and modern infrastructure designed to support high-quality teaching, hands-on learning, and advanced research. The facilities are regularly upgraded to keep pace with emerging technologies and evolving academic requirements.

Classroom & Smart Classroom

The department is equipped with a ICT-enabled smart classroom featuring high-resolution projectors, digital writing panels while all classrooms are equipped with projectors. These classrooms support interactive teaching, live demonstrations, and blended learning approaches that enhance the overall learning experience.

Computer Laboratories

DCS maintains two state-of-the-art computer laboratories namely Allen Turing Lab and Dennis Ritchie Lab equipped with 60 high-performance desktops, internet connectivity, and open-source software tools. The labs support programming, AI/ML projects, image processing, data analytics, networking, and advanced computational tasks. Dedicated lab sessions ensure that students gain extensive hands-on exposure across courses.

Research Laboratory

A dedicated research lab provides computing facilities for M.Sc., PGDDS, and Ph.D. scholars. The lab includes two high-end desktops, Tower Server, Rack Server, 8 GPU-enabled systems and access to research software required for machine learning, deep learning, high-performance computing, and data science.

High-Speed Internet & Wi-Fi

The department is fully supported by the university’s high-speed fiber-optic internet backbone. Wi-Fi connectivity is available throughout the block, enabling students and faculty to access cloud platforms, online tools, and research databases seamlessly.

Software Resources

The department provides access to open-source software, including programming IDEs, data science tools, simulation packages, computational libraries, and learning management platforms.

Support Facilities

The department ensures technical support for lab maintenance, software installation, and computing assistance. Students receive guidance from faculty members, research scholars, and trained technical staff for project development and research activities.

Student Activities

The Department of Computer Science encourages students to participate in a wide range of academic, technical, and co-curricular activities. These activities help students strengthen their problem-solving abilities, teamwork, communication skills, and leadership qualities.

Significant Projects of A.Y. 2025 – 26

• CUTN Ride App
• CUTN – Mess Reduction System
• CUTN – Attendance Management System for Hostel Inmates
• OBE based Student Performance Assessment System

Clubs & Technical Forums

Students actively contribute to technical clubs and interest groups focusing on areas such as programming, artificial intelligence, data science, open-source technologies, cybersecurity, and innovation. These forums provide a platform to explore emerging technologies and collaborate on interdisciplinary projects.

Student Achievements

Students from the department have consistently performed well in national-level examinations, internships, and projects. Many students secure industry internships, research internships, and placements in reputed organizations, while others pursue higher studies in premier institutions.

Student Support Services

The department offers continuous academic mentoring, technical support, and guidance for projects, internships, competitive exams, and career development. Faculty advisors, research scholars, and technical staff ensure that students receive academic and personal support through their programmes of study.