School of Engineering and Sciences
Department of Computer Science and Engineering
The curriculum of the undergraduate programme in Computer Science and Engineering covers topics related to computer hardware and software. Active learning is the pedagogy followed by the faculty to implement the teaching-learning process. Technology enabled platforms are also used by the faculty members to teach programming and algorithm-related subjects efficiently.
a. Industry-academia suggested curricula that are updated regularly to align with NEP standards
b. Specialisations in high-demand domains (e.g., Data Science, IoT, Edge Computing, FinTech, AR/VR)
c. Core skills in 2nd and 3rd semester for placement preparation and Career skill courses in 5th and 6th semester for career decisions
a. Emphasis on experiential learning through projects, coding bootcamps, and open-source contributions.
b. Dedicated “Innovation Garage” or “Makerspace” for student startups and tinkering.
c. Participation in international coding competitions and hackathons.
a. Consistent high placement records with top-tier companies.
b. Alumni in leadership positions globally (highlight marquee companies/startups).
c. Career support through resume building, hackathons, mock interviews, etc.
a. Projects and curriculum integrating CSE with healthcare, agriculture, climate tech, and more.
b. Startups and innovations tackling real-world challenges.
c. Service-learning opportunities: tech for social good.
a. 100% Faculty with PhDs from premier institutions (IITs, IISc, NIT, IIIT, CU, and top global universities).
b. 80% Faculty with International experience.
c. 100% Faculty with research or industrial experience
d. Active in policy advisory, patents, editorial boards, and standardisation bodies.
a. Active student clubs (coding, robotics, AI, open source, women in tech).
b. Mentorship by alumni and senior researchers.
c. Regular hackathons, tech fests, coding nights, and innovation days.
a. Courses and research in AI ethics, sustainable computing, green IT, and cybersecurity awareness.
b. Promotes responsible tech development and use.
a. 25 Laboratories with high-end systems and software, each with a seating capacity of 70; Two laboratories with a Seating Capacity of 30. These Labs contain a total of 1080 Computers.
b. Access to the Supercomputing resource (HPCC server).
c. 60 research lab with cutting-edge equipment for research
a. Active research labs in AI/ML, cybersecurity, quantum computing, blockchain, bioinformatics, nanonetworking, etc.
b. Funded projects from national/international agencies (e.g., SERB, ISRO, etc.).
c. Interdisciplinary research with other departments (e.g., CSE + Bio/Medical + Environmental).
a. Student exchange programs with international universities such as
i. University of California, Berkeley
ii. University of California, Davis
iii. University of Wisconcin-Madison
iv. Northeastern University, Boston
v. Illinois Institute of Technology
b. Joint degree programmes, collaborative research, or summer schools abroad.
c. Hosting or participating in international conferences and workshops.
- Partnerships with top tech companies (e.g., Google, Microsoft, IBM, Infosys).
- Industry-sponsored labs and centers of excellence (e.g., “AI and Data Science Innovation Hub”).
- Internship and live project opportunities through MoUs.
Students are encouraged to do research oriented projects, multidisciplinary and special projects. Students are also given opportunities to get international exposure through semester abroad programme (SAP). More than twenty students from the Computer science and engineering discipline went to University of California, Berkeley and University of Wisconsin, Madison to pursue one semester study through SAP in the last two years. State of the art laboratory facilities are provided to the students for gaining quality practical experience. Students take up internships in the industries and institutes of eminence in India and abroad to get quality practical working experience. Overall, the under graduate computer science and engineering students are provided with high quality research oriented education which will mould them to succeed in modern technological world.
Programme Educational Objectives (PEO)
Programme Specific Outcomes (PSO)
Programme Outcomes (PO)
Apply the knowledge of mathematics, science, engineering fundamentals, and engineering. specialisation in the solution of complex engineering problems.
Identify, formulate, research literature, and analyse engineering problems to arrive at substantiated conclusions using the first principles of mathematics, natural, and engineering sciences.
Design solutions for complex engineering problems and design system components, and processes to meet the specifications with consideration for public health and safety, and cultural, societal, and environmental considerations.
Use research-based knowledge, including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
Function effectively as an individual and as a member or leader in teams and in multidisciplinary settings.
Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports and documentation. Make effective presentations and give and receive clear instructions.
Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work as a member and leader in a team. Manage projects in multidisciplinary environments.
Recognise the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
The Bachelor of Science is intended for students wishing to study computer science, enter the computer field, attend a graduate programme in the computer sciences, or get started in research. The undergraduate minor is intended for students with an interest in Computer Science, but only enough time to complete a few courses.
B.Sc. Computer Science (Hons.) is one of the most popular programmes in the IT domain. This field has the potential to propel your career. It is a consistently growing field with a large variety of job opportunities as the industry and demand grow. This undergraduate program deals with the subjects and topics related to computer science, computer applications, and their services. The three-year-long programme has been specifically designed for aspirants looking for a career in computers. The course covers all aspects of computers, right from the basic fundamentals of computers to database systems & advanced courses like C++, Java, etc.
With a revamped curriculum, the B.Sc. Computer Science programmes open a wide array of opportunities for students, including the possibility to attend summer schools and global conferences. The programme also offers access to Hatchlab Research Centre, SRM AP’s startup incubation center, which provides funding and mentorship for student-led startups.
Programme Educational Objectives (PEO)
Programme Specific Outcomes (PSO)
Programme Outcomes (PO)
Apply the knowledge of mathematics, science, engineering fundamentals, and engineering. specialisation in the solution of complex engineering problems.
Identify, formulate, research literature, and analyse engineering problems to arrive at substantiated conclusions using the first principles of mathematics, natural, and engineering sciences.
Design solutions for complex engineering problems and develop system components and processes to meet the specifications with consideration for public health and safety, and cultural, societal, and environmental considerations.
Use research-based knowledge, including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
Function effectively as an individual and as a member or leader in teams, and in multidisciplinary settings.
Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports and documentation. Make effective presentations and give and receive clear instructions.
Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work as a member and leader in a team. Manage projects in multidisciplinary environments.
Recognise the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
