Welcome to the School of Computer and Information Sciences
We are dedicated to advancing knowledge and innovation in computer science, information technology, and
related fields. Our world-class faculty and cutting-edge research programs prepare students
for successful careers in the ever-evolving tech industry.
M. Tech (AI) started in 1986
Explore our programs, meet our faculty, and discover the opportunities that await you.
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Academic Programs
Undergraduate & graduate degrees in CS, IT, and more
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Faculty
Meet our distinguished professors and researchers
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Computing Infrastructure
Cutting-edge research in Computer Science, Artificial Intelligence, & more
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Contact Us
Get in touch with our department
Academic Programs
Our students are supported through different funding opportunities. Please browse prospectus for updated information. Click here for Prospectus 2026-27
๐ PhD Programs
PhD in Computer Science
Doctoral research program emphasizing original research contributions and academic excellence in computer science. Includes specializations in Theoretical CS, AI, Networks, and Systems.
๐ฏ Master's Programs (M.Tech)
M.Tech in Computer Science (CS)
Advanced postgraduate program with specialization in Systems, High Performance Computing (HPC) and Security.
M.Tech in Artificial Intelligence (AI)
Specialized postgraduate program focusing on artificial intelligence, machine learning, deep learning, and practical AI applications.
M.Tech in Information Technology (IT)
Postgraduate program in Information Technology covering emerging technologies, digital transformation, and IT infrastructure.
๐ฑ Master's Programs (MCA)
Master of Computer Applications (MCA)
Master of Computer Applications program focused on advanced software development, systems design, and enterprise applications.
๐ Integrated Programs
IMTech in CSE
Integrated five-year Master's program combining strong fundamentals with advanced specializations in modern computing.
๐ Research Metrics
SCIS Scopus Profile
h-index: 73
Total Publications: 1850+
Citations: 18,000+
Research Areas
๐ค AI & Machine Learning
Deep Learning & Neural Networks
Advanced neural network architectures, convolutional networks, recurrent networks, and transformer models for various applications.
Reinforcement Learning
Q-learning, policy gradients, multi-agent systems, and practical RL applications in robotics and game playing.
ML Systems & Optimization
Distributed machine learning, federated learning, hyperparameter optimization, and AutoML systems.
๐งฌ Soft Computing
Fuzzy Logic & Systems
Fuzzy set theory, fuzzy control systems, approximate reasoning, and applications in decision-making.
Evolutionary Computing
Genetic algorithms, genetic programming, particle swarm optimization, and evolutionary strategies.
Bio-inspired Computing
Swarm intelligence, ant colony optimization, artificial immune systems, and nature-inspired algorithms.
โ๏ธ Cloud Computing & IoT
Cloud Infrastructure
Distributed systems, cloud resource management, serverless computing, and container orchestration.
Edge Computing
Edge intelligence, fog computing, real-time data processing, and latency-sensitive applications.
IoT Applications
Sensor networks, IoT protocols, smart systems, and real-world IoT deployment and management.
๐ก๏ธ Cyber Security
Blockchain & Cryptography
Blockchain security, distributed ledger technologies, cryptographic protocols, and quantum-resistant cryptography.
Threat Detection & Prevention
Intrusion detection systems, malware analysis, anomaly detection, and zero-trust architecture.
Privacy & Access Control
Privacy-preserving ML, differential privacy, identity management, and access control mechanisms.
Digital Forensics
Disk forensics(file system artifacts), Drone Forensics,Anti-forensics
๐๏ธ Computer Vision
Image Processing & Analysis
Image segmentation, feature extraction, image enhancement, and advanced image processing techniques.
Object Detection & Recognition
Deep learning-based object detection, semantic segmentation, instance segmentation, and scene understanding.
3D Vision & Video Analysis
3D reconstruction, depth estimation, video understanding, action recognition, and temporal analysis.
๐ฌ Natural Language Processing
Language Understanding
NLP models, text classification, named entity recognition, question answering, and semantic analysis.
Machine Translation & Speech
Neural machine translation, multilingual NLP, speech recognition, speech synthesis, and voice processing.
Conversational AI
Chatbots, dialogue systems, sentiment analysis, opinion mining, and conversational understanding.
Contact Us
We'd love to hear from you! Reach out to our school for inquiries about programs, research opportunities, or general information.
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Location
AI Lab Building,
School of Computer and Information Sciences,
University of Hyderabad,
Gachibowli, Telangana, India
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Email
Office: officescis@uohyd.ac.in
Dean, SCIS: deanscis@uohyd.ac.in
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Phone
+91-040-23134101
+91-040-23134105
Mon-Sat: 9AM - 5PM
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Social Media
Follow us on
About SCIS
The School of Computer and Information Sciences (SCIS) at the University of Hyderabad
is a premier center for advanced learning and research in Computer Science, Artificial Intelligence,
Data Science, and Information Technology.
Established with a vision to promote excellence in computing education, SCIS offers
cutting-edge programs and conducts interdisciplinary research in emerging areas.
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Best Value for Money
World-class education at an affordable fee.
SCIS offers unmatched quality, making it one of the most cost-effective
premier institutions in India.
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Distinguished Faculty
28 highly qualified faculty members, all with PhDs.
5 from top global universities and 8 from IITs/IISc/ISI.
Three faculty are among the world's top 2% researchers.
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Research-Driven Learning
Students actively participate in faculty research, publishing in
top journals and conferences. Emphasis on critical thinking,
problem-solving, and independent learning.
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Flexible & Modern Curriculum
NEP 2020 aligned curriculum combining strong fundamentals,
interdisciplinary electives, and cutting-edge research topics
across science, arts, and humanities.
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Focus on Learning
Beyond rote learningโchallenging assignments, open-ended problems,
and innovative evaluation methods designed to build real-world skills.
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Strong Placements
Students are recruited by top companies like EA Sports, IBM, Intel,
Samsung, and Teradata with median salaries around โน10 LPA.
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Global Opportunities
Graduates pursue higher studies at top universities such as
UC San Diego, RIT, and Saarland University.
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Strong Alumni Network
Alumni are faculty at leading institutions like NYU and Duke,
and successful entrepreneurs creating impactful ventures.
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Top Rankings
University of Hyderabad is consistently ranked in NIRF Top-20,
Top-3 in research, and ranked #1 in India by Nature Index (2020).
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Beautiful Campus
A serene and vibrant campus with 24/7 lab access, fostering
innovation, creativity, and holistic development.
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Holistic Environment
A diverse student community with exposure to arts, sciences,
and cultureโencouraging creativity and broad perspectives.
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Education that Liberates
Guided by the motto โเคธเคพ เคตเคฟเคฆเฅเคฏเคพ เคฏเคพ เคตเคฟเคฎเฅเคเฅเคคเคฏเฅโ โ education that
liberates minds, expands horizons, and builds future leaders.
News & Events
University of Hyderabad Internal Smart India Hackathon 2026
Hosting by SCIS-SPOC
Date and Time : August 22, Saturday, 9:00 AM
Click here to register (Last date: Aug 21)
India AI Impact Pre-Summit 2026
SCIS hosted the AI Impact Pre-Summit bringing together researchers and industry leaders.
SCIS AI Research Summit 2026
Annual research summit showcasing cutting-edge innovations in AI and ML.
Student Hackathon Winners
Students won national-level hackathon in AI and cybersecurity domain.
Innovation Day
Showcasing student projects, startups, and research prototypes.
Archetype 2025
Showcasing innovative student-led prototypes addressing both national needs and global standards.
Computing Labs
System Specifications in Teaching Labs
No. of systems: 100 (Lab 1: 60 & Lab 2: 40)
Model: Dell Pro Slim Desktop QCS1250
Processor: Intel Core Ultra 5 235 (14 cores, 5.0 GHz, built-in NPU)
Memory: 16 GB DDR5 RAM
Storage: 512 GB PCIe NVMe SSD
Graphics: Integrated Intel Graphics
Operating System: Ubuntu 24.04
High Performance GPU Lab
No. of systems: 32
Model: Dell Pro Max Tower T2 FCT2250
Processor: Intel Core Ultra 7 265 x 20
Memory: 32 GB DDR5 RAM
Storage: 512 GB PCIe NVMe SSD
Graphics: NVIDIA RTX A1000 8GB
Operating System: Ubuntu 24.04
๐ Teaching Labs
AI Lab Established in 1986 - 70 Modern systems for PG teaching. Recent Lab Upgrade:Mar-2026
AI Lab Established in 1986 - 70 Modern systems for PG teaching. Recent Lab Upgrade:Mar-2026
Programming and Data Structures Lab(EB 200) โ Hands-on implementation- Modern systems for PG teaching
Electronics and Devices Lab (S-107) โ Modern systems for IMTech teaching learning process.
Electronics and Devices Lab (S-107) โ Modern systems for IMTech teaching learning process.
๐ฌ 15 Research Labs
Deep learning research lab.
AI & ML Lab โ Deep learning research.
Cloud Computing and Smart Solutions Laboratory (Cloud & Smart Lab)
๐ Advanced Labs
5G Use Case Lab.
5G Use Case Lab
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WISE Lab
๐ State-of-the-Art Facility
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HPC Lab โ GPU clusters.
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GPU Lab.
SCIS Placements
SCIS has a vibrant placement programme where mostly product-based companies with good salary packages come for recruitment.
The work in such companies is challenging and interesting with strong brand value in both technology and organization.
๐ Placement Statistics
Year 2024โ25
| Program | No. Placed | Lowest (LPA) | Highest (LPA) |
| I.M.Tech (CS) | 20 | 7.5 | 38 |
| M.Tech (CS) | 14 | 5.4 | 46 |
| M.Tech (AI) | 8 | 9 | 17 |
| MCA | 27 | 4.75 | 15 |
| Total | 69 | 4.75 | 46 |
Year 2023โ24
| Course | No. Placed | Lowest (LPA) | Highest (LPA) |
| I.M.Tech (CS) | 18 | 3.5 | 17.89 |
| M.Tech (CS) | 8 | 4.92 | 17.89 |
| M.Tech (AI) | 3 | 5.64 | 12 |
| M.Tech (IT) | 2 | 12 | 15 |
| MCA | 24 | 3.5 | 12 |
| Total | 55 | 3.5 | 17.89 |
Internships & Highlights:
- 2 M.Tech and 4 I.M.Tech students selected as interns at GE Digital.
- Marvell recruited 8 interns (5 I.M.Tech + 3 M.Tech).
- MCA final semester converted into internship for industry exposure.
Year 2022โ23
| Course | No. Placed | Lowest (LPA) | Highest (LPA) |
| I.M.Tech (CS) | 15 | 3.5 | 15.52 |
| M.Tech (CS) | 39 | 3.5 | 7.9 |
| M.Tech (AI) | 21 | 3.5 | 23 |
| M.Tech (IT) | 6 | 6.5 | 47.47 |
| MCA | 50 | 3.5 | 22.5 |
| Total | 131 | 3.5 | 47.47 |
Top Recruiters & Internships:
- Intel: 7 interns (I.M.Tech, M.Tech CS, AI)
- GE: 2 students selected
- HEXAGON: 1 student recruited
- ACL Digital: 3 students recruited
- Companies: Samsung Semiconductors, Crisil, Quadratyx, OneConvergence, Techsophy, Zentree Labs, LatentView Analytics, FactSet
Year 2021โ22
- MCA: 117
- I.M.Tech: 18
- M.Tech (CS): 26
- M.Tech (IT): 15
- M.Tech (AI): 6
- M.Tech (IS): 13
- Min Package: 3.5 LPA
- Max Package: 15 LPA
Placement is ongoing for internships and this page will be updated as more companies visit the campus.
Contact Coordinators: for further information
