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The Department of Computer Science and Engineering at NIT Andhra Pradesh, offers a B.Tech. Undergraduate programme in Computer Science and Engineering, M.Tech. in Computer Science and Data Analytics, M.S. (by research) and Ph.D. programmes. The department was incepted in the year 2015 with a current sanctioned intake of 150 students for the B.Tech. (CSE) programme.

The B.Tech. curriculum offered by the department comprises of core courses that provide a sound theoretical foundation which is supplemented through industry relevant elective courses and a project component. The department hosts an M.Tech. programme in Computer Science and Data Analytics with an intake of 15 students, from the Academic Year 2020-21 onwards. The M.Tech. curriculum is designed in such way to provide a sound theoretical and practical foundation for conducting high-quality research in the thrust sub-domains of Data Analytics.

Regular faculty in the department are experienced and possess degree from Institutes of national importance such as IISc/NITs. Faculty members in the department work on research domains including but not limited to Randomized/Approximation Algorithms, Machine Learning, Data Science, Probabilistic Graphical Modelling, Cryptography and Network Security, Performance Modelling, Parallel/Distributed Algorithms, Artificial Intelligence and Data analytics. The department has vibrant and dynamic professional societies that nurture the technical/soft skills of students. The effectiveness of the strong curriculum and faculty in the Department is attested by the student achievements including but not limited to metrics like, GATE ranks within the top 100, number of students placed in core companies and the number of students enrolling for higher studies in institutions of national and international repute.

Within a short span of its inception, the Department boasts of around 20 plus publications in extremely high impact journals and conferences. Faculty in the department are very active in authoring Books and Book chapters and in disseminating best practices in research through Faculty Development Programmes.

The Department has conducted eleven faculty development programmes within the past three academic years and have conducted two GIAN and Swayam courses in the academic year 2021-22. The Department is currently handling 50 Lakhs worth research projects from sponsoring agencies like SERB, IDRBT and LinkedIn R&D.

The Department of Computer Science and Engineering has the following five laboratories with the relevant computational and storage infrastructure to support the undergraduate, postgraduate laboratories and research work of the doctoral students.

  1. Artificial Intelligence Lab
  2. Data Analytics Lab
  3. Systems Programming Lab
  4. High Performance Computing Lab
  5. Enterprise Application Development Lab

The Department has MoU’s in place with the following R&D units to facilitate joint research in domains like Machine Learning, Data Analytics, Natural Language Processing, Probabilistic Graphical Modelling, Deep Learning and Cloud Computing.

  1. MoU with Enixta Innovations Ltd, Hyderabad
  2. MoU with Juniper Networks
  3. MoU with LinkedIn Analytics R&D
  4. MoU with Skylark Labs
  5. MoU with Coding Ninjas

The Department hosts 6 full-time and 22 part-time research scholars working towards solving open contemporary research problems in domains like Big Data Analytics, Natural Language Processing, Recommender Systems, Sentiment Analysis, Cloud Computing, Social Network Analytics, Cryptography and Information Security, Probabilistic Graphical Modelling and Soft Computing.

To strive for excellence in academics, research and technological service to the society, with an intent to nurture the stakeholders and produce Computer Scientists, Technologists and Engineers who are globally competent and nationally relevant.
M1: To adopt a teaching-learning process that imparts technical skills and state-of-the-art knowledge with a well-blended and balanced mix of theory and practice.
M2: To create functional centres of excellence that promote research and consultancy in the thrust sub-domains of theoretical computer science, systems and technology.
M3: To collaborate with industry and higher learning institutes of national/international repute thrust sub-domains of theoretical computer science, systems and technology and solve socially relevant problems.


 Phone: +91