Computer Science and Engineering

VISION: To be a centre of excellence in Computer Science and Engineering education and research, nurturing technically competent, ethically responsible, and socially conscious professionals to meet global challenges and drive sustainable innovation.

Course Details


  • Course Duration : 4 Years
  • Intake : 900
  • No. of Faculty : 43
  • Doctorates : 21
  • Ph.D Pursuing : 22
  • Technical Staff : 10

About the Department




Dr. Thippeswamy G, M.Tech, Ph.D
HOD, Department of Computer Science & Engineering

Computer Science & Engineering deals with the theoretical foundations of information and computation along with practical techniques for implementation and application. Computer Science engineers can contribute as Software Developers, Hardware Engineers, Database Analysts (SQL), System analysts or System Engineers, Security analysts, Business System Database Developer, Data Modeller, Software Quality Assurance (QA) apart from multi-disciplinary research.


Highlights of the Department
  1. UG programme (B.E - CSE) - NBA accredited till June 2025.
  2. PG programme (M.Tech - CSE) - NBA accredited till June 2024.
  3. IEEE-CS Chapter Award (Special Mention Award 2021) for contributions and activities towards Young Engineers.
  4. Faculty Members are in LITE (Leaders in Teaching Excellence Scheme) by AICTE
  5. Faculty Members on NBA/NAAC Expert Team
  6. Placements with Highest Salary (Rs. 30 Lakhs per annum)
  7. 4 Lakhs + Consultancy & EDP Revenue Generated
  8. Research center started in the year 2014
  9. Faculty as Certified Trainers for Wipro
  10. Academy association with IIT Bombay (E yantra)
  11. Total Student strength - 800 +.
  12. From April 2020 onwards, our students have used Coursera and other MOOCs for e-Learning apart from our regular online academics and a total of 6650 courses are taken up by more than 510 students, and around 1600 courses are completed till date.
  13. Mr. Aman Rai, our student has completed 123 + Online Courses in Lockdown.

Have a Virtual Tour of the CSE Department

Take a look at Some of the Project Videos (UG)

Take a look at Some of the Project Videos (PG)

The Department of Computer Science & Engineering was started in the year 2002 – 2003 with an intake of 60, the Year 2010 with an intake of 90 and currently it is 180. The Department is highly progressive and has a team of well qualified, experienced and dedicated faculty. 19 faculty members hold Doctoral degrees, and 13 Faculty members are currently pursuing their Doctorate degrees. The Department of Computer Science & Engineering continues to recruit faculty members with high experience in academics, industry, and research.

The Department has well-equipped computer laboratories for course work, teaching and to carry out projects. The servers and nodes are all connected in the network with all necessary licensed software. Exposure to cutting edge technologies is provided by means of Industrial Projects and technical talks from domain experts of reputed research organizations. The students are encouraged to involve themselves in creative, technical and research activities. Students have been performing well in the university examination.

The Department maintains a wireless network (Wi-Fi) with unlimited Internet access for use by staff and students. Our graduates are working in leading IT industries and many students have secured admissions to prestigious universities in India and abroad. The Department has an R&D Center as well as an Incubation Center which is facilitating the students to acquire practical knowledge. The Department also offers an M.Tech. Program (post-graduation) in Computer Science & Engineering, which was introduced in the year 2014 with an approved intake of 18.


M.Tech in Computer Science & Engineering
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BOARD OF STUDIES: CSE/ISE/AIML (CLUSTER-II)
Sl. No Member Role
Head of the Department Concerned (Chairperson)
1. Dr. Thippeswamy G, HoD, CSE Chairman
All faculty members having minimum of five years from each specialization/vertical
2. Dr. Anil G.N. Department of CSE (Computer Networks) Member
3. Dr. Bharathi Malakreddy, Department of AIML (Computer Networks) Member
4. Dr. Sheela Khatawate (Embedded IoT) Member
5. Dr. Vishwakiran, Department of AIML (Embedded IoT) Member
6. Dr. Manjunath T.N. Department of ISE (Data Sciences) Member
7. Dr. Hemamalini, Department of CSE (Data Sciences) Member
8. Dr. Anjan Krishnamurthy, PG Coordinator, Department of CSE (M.Tech CSE) Member
9. Dr. Satish Kumar T, Department of CSE (Algorithms) Member
10. Dr. Veena N, Department of ISE (Algorithms) Member
11. Dr. Bhuvaneshwari C Melinamath, Department of CSE (Artificial Intelligence) Member
12. Dr. Pushpa S.K. Department of ISE ((Artificial Intelligence) Member
Subjects Experts (two) from outside the University to be nominated by Academic Council.
13. Dr. Chethan Singh Thakur, Professor, Indian Institute of Science Member
14. Dr.P.J. Kulkarni, Walchand College of Engineering, Sangli Member
VTU Nominee
15. Dr. Sunitha N.R., Professor, Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumkur Member
One representative from Industry/Corporate area relating to the placement to be nominated by the Academic Council- Member.
16. Dr. Muthalik Mandar Desai, IBM, Bangalore Member
One Post Graduate meritorious alumnus to be nominated by the Principal
17. Mr. Abhijith M, (PG from IIIT-B), TESCO, Bangalore Member

To be a centre of excellence in Computer Science and Engineering education and research, nurturing technically competent, ethically responsible, and socially conscious professionals to meet global challenges and drive sustainable innovation.

M1. To impart quality education in Computer Science and Engineering by integrating fundamental knowledge with emerging technologies and industry practices.
M2. To foster innovation, problem-solving, and research aptitude through a curriculum enriched with project-based learning, professional activities, and collaborative initiatives.
M3. To develop graduates with strong ethical values, leadership qualities, and a commitment to lifelong learning through co-curricular and extra curricular activities.

  1. Professional Excellence: Pursue successful careers in industry, academia, and entrepreneurship by applying the foundational knowledge of Computer Science and Engineering with professional competence.
  2. Higher Education and Lifelong Learning: Engage in higher studies, research, or professional development programs, demonstrating a commitment to lifelong learning in a rapidly evolving technological landscape.
  3. Ethics and Social Responsibility: Exhibit ethical behaviour, effective communication, teamwork, and leadership qualities, with a strong sense of responsibility toward society and the environment.
  1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  1. Core and Emerging Technology Proficiency: Apply foundational knowledge of computer science and engineering to analyse, design, and develop computing solutions across core domains such as algorithms, programming, databases, networking, web technologies, and software engineering. Demonstrate proficiency in modern tools and emerging technologies including Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, IoT, and Cybersecurity to build innovative and effective software systems.
  2. Computational Problem Solving and Professional Competence: Employ analytical thinking and problem-solving abilities to address real-world challenges with societal impact through the application of computing platforms. Exhibit professional ethics, effective communication, and teamwork skills necessary for success in multidisciplinary and collaborative environments.