Why consider
our programs for your career?
The School of Computer Science & Engineering is a unique school that leverages the high-quality programs of XIM University and emphasizes sound computer science fundamentals, coding, research, innovation, and entrepreneurship. It currently offers B.Tech. (Hons.) in Computer Science & Engineering, M. Tech in Data Science & Analytics, and Ph.D in Computer Science and Engineering.
Programs
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B.Tech. (Hons.) in CSE
The B.Tech. (Hons.) in Computer Science and Engineering is a four-year, full-time program designed to provide ample opportunity for students to learn coding languages, develop and analyze algorithms,...
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M.Tech. in CSE
This is a two year post-graduate engineering programme offered by the XIM University. It will be taught by Professors from different schools of the XIM University.
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Ph.D in CSE (Full -Time)
XIM University views research as an activity where our core institutional values are expressed clearly. At XIM University we recognize the need to participate in the global academic environment ...
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Ph.D in CSE (Part-Time)
XIM University views research as an activity where our core institutional values are expressed clearly. At XIM University we recognize the need to participate in the global academic environment through high quality publications.
Admissions
Experience a five-century old Jesuit education model of academic excellence.
The B.Tech in Computer Science and Engineering is a four-year, full-time program designed to provide ample opportunity for students to learn coding languages…
This is a unique programme for those who are interested in shaping and creating a future world where AI and Machine Learning, Natural Language processing…
Admissions
Experience a five-century old Jesuit education model of academic excellence.
Research & Publications
At XIM University, pushing the boundaries of knowledge and possibility is an integral aspiration and working element of the University since inception. XIM University, provides a vigorous and visible research environment to its students with a goal to establish a sound research culture and a habit of intellectual leadership for the nation.
News and Events
Achievements
Journal Publication: Performance Analysis of Microkernel Based Virtualization Techniques on Embedded Systems, American Scientific Publishers
Priyadarsan Patra
Journal Publication: Arsenic fate in the Brahmaputra river basin aquifers: Controls of geogenic processes, provenance and water-rock interactions, Elsevier Ltd., United Kingdom
Rakesh Prasad Badoni
Paper Presented: 25th Finnish-Russian University Cooperation in Telecommunication (FRUCT), Venue: University of Helsinki, Kumpulan Campus, Helsinki, Finland , University of Helsinki, Finland
Monalisa Mandal
Journal Publication: A Fast Scalable Distributed Kriging Algorithm using Spark Framework, Springer
Chandan Misra
Paper Presented: TEQIP-III sponsored workshop on "Machine Learning for Data Science using Python (MLDSP-2020), Venue: Bhubaneswar, SIT Bhubaneswar
Rudra Mohan Tripathy
Dr. Devendra Kumar Yadav co-authored a journal “Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics”. scientific reports (2026). https://doi.org/10.1038/s41598-026-55325-y.
Dr. Devendra Kumar Yadav
Dr. Devendra Kumar Yadav co-authored a journal “A neuro-inspired hybrid framework for personalized movie recommendation using deep spiking neural networks and collaborative filtering”. International Journal of Information Technology, 1-18. https://doi.org/10.1007/s41870-025-02821-5.
Dr. Devendra Kumar Yadav
Dr. Devendra Kumar Yadav co-authored a journal “Compression Sensing Satellite Image Pixel Scrambling Scheme using Unique Seed Generation for Intra-Block Confusion with LP Rotation Mechanism”. International Journal of Mathematical, Engineering and Management Sciences, 10(5), 1397. https://doi.org/10.33889/IJMEMS.2025.10.5.066.
Dr. Devendra Kumar Yadav
Dr. Devendra Kumar Yadav co-authored a journal “Enhanced slope stability prediction using ensemble machine learning techniques”. Scientific Reports, 15(1), 7302. https://doi.org/10.1038/s41598-025-90539-6.
Dr. Devendra Kumar Yadav
Dr. Rudra Mohan Tripathy Presented a Paper: TEQIP-III sponsored workshop on “Machine Learning for Data Science using Python (MLDSP-2020), Venue: Bhubaneswar, SIT Bhubaneswar
Rudra Mohan Tripathy
Dr. Chandan Misra Published a Journal: A Fast Scalable Distributed Kriging Algorithm using Spark Framework, Springer
Chandan Misra
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