School of
Computer and Information Sciences
Computer and Information Sciences
School of
Computer and
Information Sciences
Computer and
Information Sciences
7
Programs
28
Faculty
600+
Students
80+
Research Scholars
A question that is definitely on yours and your parents' minds around this time of the year is which college to join. While wishing you all the best for getting into one of the top IITs, take also a look at the School of Computer and Information Sciences (SCIS), University of Hyderabad (UOH). You are sure to discover a hidden gem: we are not that well-known outside a select circle of quality research organisations and institutions such as DRDO, ISRO, IITs and NITs. Talk to them and you will be surprised!
Our Programmes
Placement Information
Research Highlights
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Fee Structure
I can confidently say that my time at SCIS was a transformative and career-defining experience that surpassed my education in the US. The classes were highly engaging (going beyond textbooks), state-of-the-art labs, research-focused projects, and passionate professors are the pillars of UOH education. Looking back, my only regret is that my time at UOH wasn't longer.
Zahed Khurasani (Meta Platforms Inc.)
SCIS@UOH seamlessly blended academic and industrial knowledge, courtesy of a diverse and experienced faculty. The intellectually stimulating environment, further amplified by my peers and the advanced lab facilities, has greatly enriched my academic journey.
Nirmoy (GPU software architect at Intel Germany)
Look at our faculty: 27 in all, all with PhDs. 5 have PhDs from top universities abroad, 8 from IITs/IISc/ISI! Three of our faculty are in the Stanford list of top-2% researchers globally. Our students are an integral part of the faculty research projects and have published papers in reputed journals and global conferences. SCIS faculty are experts using top-class textbooks and giving thought-provoking assignments that make the students think and learn by themselves. Our teaching is not bound by rigid syllabi, nor are our question papers and exams the mundane exercises seen elsewhere: students will find them challenging and fun!
Our curriculum is another aspect that should excite any learner - whether interested in the fundamentals or the cutting-edge. Every course goes beyond the pale outlines of textbooks into research areas and open-ended questions. The curriculum adheres to the well-rounded development goals of NEP 2020. Students get a rock-solid grounding in the core subjects, widen their horizons with multidisciplinary components, both cores and open electives, from Arts, Humanities and the Social Sciences, and prepare for the future with the state-of-the-art electives that cover the research areas of the faculty. Finally, the focus is most definitely on learning not on training to pass exams without gaining any employable or research skills.
The result is there for all to see. Our students are sought-after by employers and are placed in well-known companies such as EA Sports, IBM, Intel, Marvel, Samsung, Teradata, and many more. The median salaries are around Rs. 10 L per annum. Our students also gain admissions in some of the best universities across the world — Rochester Institute of Technology, University of California at San Diego, Saarland University, etc. — for their continuing studies. Our alumni are faculty in institutions across the world and India - in New York University, Duke University, NITs, etc. Many are successful entrepreneurs utilising the learning imparted here to provide employment to several hundred others.
Add to all these a university that is consistently ranked in NIRF top-10, top-three for research and the best university in India according to Nature ranking for research (2020). Not to mention the serene and beautiful campus, students from all over India and with interests in arts to sciences, 24-hour access to labs and several buildings, where else do you get a better chance to explore yourselves and your interests, to develop holistically with tolerance and understanding of different cultures, we truly liberate your minds and expand your horizons. After all, the motto of the university is, "सा विद्या या विमुक्तये", the education that liberates ...
The School of Computer and Information Sciences (SCIS), created in 2013 after being a department in the School of Maths & Computer/Information Sciences for 20 years, is the largest unitary school in the university.
AI and SCIS:
A rich and glorious tradition ...
Did you know that SCIS has the first and the longest running M. Tech (AI) program in India?
M. Tech (AI), started in 1986, has graduated more than 800 students
I.M.Tech and M.Tech admissions 2024
Controller of Examinations, University of Hyderabad has brought out this
notification regarding the joining dates and classes for students of
I.M.Tech and M.Tech (CS/AI/IT) with joining on
8th August 2024.
The students must report to the School of Computer and Information
Sciences (SCIS) with their admission slips.
A schedule for the I.M.Tech Students Induction Program as per AICTE
will be communicated to the students.
The regular M.Tech students are to attend the Students Orientation
Program at the SCIS which will be announced subsequently.
Click here for Notification
Best Paper Award at ICDCIT 2024 Conference
Vivek Kumar Rajak, Ph.D student, under the supervion of
Dr. Anjeneya Swami Kare, got Best Paper Award for his paper titled "A genetic algorithm-based heuristic for rumor minimization
in social networks" presented at ICDCIT 2024
held from 17-20, January 2024 at KIIT, Bhubaneswar, India.
Photo
SCIS is organising
BDA 2024 at University of Hyderabad
this year
December 17-20, 2024
Click here for more details
SCIS organised
ACM COMPUTE 2023 at University of Hyderabad
last year
December 9-11, 2023
Click here for poster
Click here for information
Click here for local committee details
Click here for chief guests
Prof. Jacek Zurada who is a pioneer of Neural Networks research and authored the classic text book on Neural Networks
visited the School on September 14, 2023 and interacted with faculty and students.
Photo
The one-day symposium on Deep Learning by Prof. Zaki
July 5, 2023
Click here for information
Research Talk:
Finding
Multidimensional Constraint Reachable Paths for Attributed Graphs
by Dr. Bhargavi B. (Alumni), Assistant Professor, GITAM Deemed to be University, Hyderabad
Date: 26 September, Tuesday, 3 PM. Venue: New Seminar Room (EB 208)
Abstract and details
Research Talk:
Complex Network Analysis: Problems, Applications and Techniques
by Dr. T. Jaya Lakshmi (Alumni), Assistant Professor, SRM University, AP
Date: 13 September, Wednesday, 3 PM. Venue: New Seminar Room (EB 208)
Abstract and details
Research Talk:
Computer Vision and Its Applications
by Dr. Ayesha Choudhary, Asst. Prof., School of Computer and System Sciences, Jawaharlal Nehru University,
New Delhi
Date: 06 September, Wednesday, 3 PM. Venue: Old Seminar Room.
Abstract and details
Best Paper Award at MIWAI 2023
A. Sandhya Rani, K. Swarupa Rani. "Parallel
and Distributed Query Processing in Attributed Networks" awarded best paper in MIWAI-2023. Find paper at
https://doi.org/10.1007/978-3-031-36402-0_11
Research Talk:
Insider Threats Impact and Challenges
by Dr. Malvika Singh, Asst. Prof., Dept. of IT, Mahatma Gandhi Institute of Technology, Hyderabad.
Date: 22 August, Tuesday, 3 PM. Venue: Old Seminar Room.
This talk has been postponed. Date will be notified later.
Abstract and details
Research Talk:
Clustering based Image Segmentation and Tracking
by Dr. Rammohan Mallipeddi, Assoc. Prof., Dept of AI, School of Electronics Engineering, Kyungpook National University,
Daegu, South Korea
Date: 28 July, Tuesday, 3 PM. Venue: New Seminar Room (EB208).
Abstract and details
Research Talk:
Harmonizing Diversity across Edge-Cloud Computing Continuum
by Dr. Chinmaya Kumar Dehury, an Assistant Professor from University of Tartu
Date: 21 July Tuesday 11 AM. Venue: New Seminar Room (EB208).
Abstract and details
Research Talk:
Some important current trends in Deep Learning
by Akshay Badola, Ph.D.(Deregistered).
Date: 18 July Tuesday 3 PM. Venue: New Seminar Room (EB208).
Abstract and details
