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Undergraduate β€’ 4 Years β€’ 167 Credits 

Computer Science & Engineering

Rigorous foundations + six specialisations: AI/ML, Data Science, Security & Privacy, Cloud & Big Data, IoT & CPS, and Quantum Technologies. Research-first. Industry-aligned. Global exposure.

Students collaborating in a computing studio

6

Specialisations

2

Year-long Projects

4-tier

Lab Ecosystem

Global

Study Module

Programme Overview

The CSE programme spans core computing (algorithms, data structures, architecture, OS, DBMS, networks) and advanced domains (AI/ML, secure systems, distributed/cloud platforms, data engineering). Students build breadth first and then pursue depth via structured specialisations, research, internships, and capstone projects.

Objectives

  • Master strong CS and math foundations; gain depth in a chosen track.
  • Design secure, scalable, and responsible technologies for real problems.
  • Develop as ethical communicators, collaborators, and leaders.
  • Adopt a lifelong learning mindset for fast-evolving tech.

Why Jio University

  • Seven-pillar curriculum with global & responsible tech perspective.
  • Early research, dual mentorship, and publication orientation.
  • Industry immersion with GCCs and real problem statements.
  • Four-tier labs; capstones & entrepreneurial pathways.

Specialisations

Six pathways designed to prepare you for cutting-edge careers

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Artificial Intelligence & Machine Learning (AIML)

Deep learning, computer vision, NLP, and reinforcement learning for intelligent systems.

πŸ“Š

Data Science (DS)

Big data engineering, analytics, and visualization to uncover insights and drive strategy.

πŸ”’

Security & Privacy (SP)

Cryptography, network security, and privacy engineering to safeguard digital ecosystems.

☁️

Cloud & Big Data (CB)

Distributed systems, cloud platforms, and scalable data pipelines for enterprise innovation.

🌐

IoT & CPS (IC)

Smart devices and cyber-physical systems that bridge physical and digital worlds.

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Quantum Technologies (QT)

Quantum computing, algorithms, and cryptography for next-generation computation.

Governing Council

Visionary leaders guiding the institute’s mission and growth

Founder

Smt. Nita Ambani

Founder Chairperson, Reliance Foundation Institution of Education and Research

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Chancellor

Dr. Raghunath Mashelkar

Padma Vibhushan | Former Director General, CSIR, Government of India | Ex-officio invitee

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Mr. Akash Ambani

Chairman, Reliance Jio Infocomm Ltd | Director, Reliance Retail Ventures Ltd.

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Vice-Chancellor

Dr. Dipak Jain

Former Dean, Kellogg School of Management (USA) | Former Dean, INSEAD (France) | Ex-officio invitee

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Ms. Isha Ambani

Executive Leadership teams, Reliance Retail, Reliance Jio, Reliance Foundation, and DAIS

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Dr. Pradeep Khosla

Chancellor, University of California, San Diego, USA

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Mr. Anant Ambani

Director, Jio Platforms Limited | Reliance Retail Ventures Ltd.

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Dr. Bimal Patel

President, CEPT University | Managing Director, HCP Design, Planning & Management Pvt. Ltd.

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Mr. Vikram Mehta

Former Executive Chairman, Brookings India | Former CEO, Shell India

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Mr. Jalaj Dani

Chairman of the Board of Governors, IIM Trichy | Co-Promoter, Asian Paints

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Mr. R. Venkataramanan

Former Managing Trustee, Tata Trusts

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Programme Pedagogy

A holistic approach to learning with nine distinct pillars

Integrated Classroom & Project-Based Learning

Blending theoretical learning with experiential projects to apply concepts in real-world contexts.

Residential & Hands-on Labs

Access to four-tiered laboratories and makerspaces to foster experimentation and innovation.

Assignments & Continuous Assessment

Ongoing assignments, presentations, and projects designed to strengthen learning outcomes.

Research & Academic Rigor

Students engage with faculty-led research projects and scholarly inquiry to build academic depth.

Industry Immersion & R&D Mindset

Internships, industry problem statements, and collaborations build industry readiness.

Capstone & Entrepreneurship

Culminating projects and entrepreneurial ventures prepare students for leadership roles.

Global Cross-Disciplinary Exposure

Opportunities for global learning experiences and exposure to multidisciplinary domains.

Liberal & Lifelong Learning Orientation

Foundation courses, liberal arts, and a lifelong learning approach prepare students beyond academics.

Faculty Mentorship & Dual Guidance

Personalised mentoring and dual guidance from academic and industry experts.

Curriculum

Click a semester to view detailed courses

Semester 1
SubjectPillarCredit
Mathematics I (Calculus & Linear Algebra)Foundation3
Mathematics II (Discrete Math & Graph Theory)Foundation3
Programming Fundamentals I (C) + LabFoundation2+1
Programming Fundamentals II (Python) + LabFoundation2+1
Computer Organization & Architecture + LabSpecialization Core (all)3+1
Technical & Professional CommunicationHSS/Management2
Computation & the WorldAudit Course IPass/Fail
Critical Thinking & Formal ReasoningAudit Course IIPass/Fail
Total 18
Semester 2
SubjectPillarCredit
Mathematics I (Calculus & Linear Algebra)Foundation3
Mathematics II (Discrete Math & Graph Theory)Foundation3
Programming Fundamentals I (C) + LabFoundation2+1
Programming Fundamentals II (Python) + LabFoundation2+1
Computer Organization & Architecture + LabSpecialization Core (all)3+1
Technical & Professional CommunicationHSS/Management2
Computation & the WorldAudit Course IPass/Fail
Critical Thinking & Formal ReasoningAudit Course IIPass/Fail
Total 18
Semester 3
SubjectPillarCredit
Computer Networks + LabSpecialization Core (all)3+1
Digital Signal ProcessingSpecialization Core (all)3
Database Management Systems + LabSpecialization Core (all)3+1
Advanced Algorithms / DAA + LabSpecialization Core (all)3+1
Introduction to Artificial Intelligence + LabSpecialization Core (all)3+1
Humanities Elective IHSS/Management2
Entrepreneurship for Social GoodAudit Course VPass/Fail
Problem Framing & AbstractionAudit Course VIPass/Fail
Total 21
Semester 4
SubjectPillarCredit
Theory of ComputationSpecialization Core (all)3
Cloud Computing + LabSpecialization Core (all)3+1
Software Engineering + LabSpecialization Core (all)3+1
Machine Learning + LabSpecialization Core (all)3+1
Computer Vision + LabSpecialization Core (all)3+1
Humanities Elective IIHSS/Management2
Seminar / Term Paper / Aptitude Test ISkills & Workshops1
Systems Thinking & DesignAudit Course VIIPass/Fail
DevOpsAudit Course VIIIPass/Fail
Total 22
Semester 5
SubjectPillarCredit
Deep Learning + LabSpecialization Core (all)3+1
Specialization Core I (Track specific) + LabSpecialization Core (specialization)3+1
Specialization Core II (Track specific) + LabSpecialization Core (specialization)3+1
Cybersecurity + LabSpecialization Core (all)3+1
Open Elective I (cross-specialization) + LabOpen Electives3+1
Industry Internship I / Live ProjectProjects & Internships1
Humanities Elective IIIHSS/Management2
Cultural Intelligence & Diversity in TechAudit Course IXPass/Fail
Sensors & Actuators / MechatronicsAudit Course XPass/Fail
Total 23
Semester 6
SubjectPillarCredit
Big Data Analytics & Platforms + LabSpecialization Core (all)3+1
Specialization Core III (Track specific) + LabSpecialization Core (specialization)3+1
Specialization Core IV (Track specific) + LabSpecialization Core (specialization)3+1
Open Elective II (cross-specialization) + LabOpen Electives3+1
Faculty-Led Project IProjects & Internships3
Seminar / Term Paper / Aptitude Test IISkills & Workshops1
Humanities Elective IVHSS/Management2
Full Stack EngineeringAudit Course XIPass/Fail
Prompt EngineeringAudit Course XIIPass/Fail
Total 22
Semester 7
SubjectPillarCredit
Responsible AI and Ethics + LabSpecialization Core (all)3+1
Specialization Core V (Track specific) + LabSpecialization Core (all)3+1
Advanced Elective I + LabSpecialization Elective (specialization)3+1
Advanced Elective II (cross-specialization) + LabOpen Electives3+1
Faculty-Led Project IIProjects & Internships3
Seminar / Technical Paper Review IIISkills & Workshops1
Humanities Elective IVHSS/Management2
Industry Readiness BootcampAudit Course XIIIPass/Fail
Design for AccessibilityAudit Course XIIIPass/Fail
Total 22

Specialisation Electives

  • AIML: Recommendation Systems, AR/VR, Bioinformatics, Computational Radiology, Speech Processing
  • DS: Blockchain Technology, Bayesian Data Science, Time-Series Forecasting, Computational Biology
  • SP: Blockchain Security, Digital Forensics, Privacy & Security Systems
  • IC: Robotics & Embedded Systems, Healthcare, HCI, CPS Safety
  • QT: Quantum Architectures, Error Correction, Post-Quantum Cryptography
  • CB: Cloud Security & Compliance, Digital Twins for Industry 4.0
Semester 8
SubjectPillarCredit
Major Capstone ProjectProjects & Internships15
Advanced Elective IIISpecialization Elective (specialization)3
Total 18

Specialisation Electives

  • AIML: AI for X case studies, AR/VR, Bioinformatics, Computational Radiology
  • DS: Blockchain, Bayesian Data Science, Time-Series Forecasting
  • SP: Blockchain Security, Digital Forensics, Privacy Systems
  • IC: Robotics & Embedded Systems, CPS Safety, Healthcare, HCI
  • QT: Quantum Hardware, Error Correction, Post-Quantum Cryptography
  • CB: Cloud Security & Compliance, Digital Twins

Academic Calendar

Semester-wise snapshot of the 4-year programme

SemWindowFocus
1Aug – DecFoundations; rural/urban internship
2Jan – JunCore build-up; summer break
3Jul – NovCore incl. AI; overseas module
4Jan – JunML, CV, Cloud; research lab
5Jul – DecDeep Learning; start specialisation
6Jan – JunPlatforms/LLMs; Project I
7Jul – NovAdvanced electives; Responsible AI
8Dec – MayCapstone (industry/research)

Laboratories

Tiered lab ecosystem designed for experiential, hands-on learning

General CS Lab

Tier A – General CS Lab

Build strong CS fundamentals: programming, OS, databases, networks, security, and introduction to machine learning.

High Performance Computing Lab

Tier B – HPC Lab

Access GPUs for high performance computing: deep learning, CV, NLP, generative AI, and responsible AI deployment.

Cluster Lab

Tier C – Cluster Lab

Work with distributed systems, manage cloud-native applications, handle big data pipelines, and design scalable systems.

IoT and CPS Lab

Tier D – IoT and CPS Lab

Hands-on IoT and cyber-physical systems: embedded systems, robotics, edge computing, IoT apps, and security.

Programme Highlights

Global exposure, industry projects, and future-ready skills.

Global exposure
Global Exposure: A six-week study-abroad/exchange module to experience international classrooms, research, and culture.
Industry immersion
Industry Immersion: Structured live projects and internships across multiple semesters, co-designed with leading technology firms.
Long-term projects
Long-Term Projects: Two-year faculty-led projects and a 12-credit final capstone that build deep research, innovation, and entrepreneurship skills.
Future-critical skills
Future-Critical Skills: Audit courses in critical thinking, problem framing, prompt engineering, ethical hacking, and accessibility.
Interdisciplinary edge
Interdisciplinary Edge: Humanities, management, and social science electives woven into technical learning.
Innovation & leadership
Innovation & Leadership Ecosystem: Student-led AI, Robotics, Data Science, and Security clubs; hackathons; incubator pathways.
Flexible specializations
Flexible Specializations: Six tracks β€” AI/ML, Data Science, Security & Privacy, Cloud & Big Data, IoT & CPS, and Quantum Technologies with cross-specialisation options.

 

Faculty

Mentors from Systems, AI/ML, Data/Cloud, Security & more

Dr. Debyan Ganguly

Dr. Debyan Ganguly

AI/ML

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Prof. Samik

Prof. Samik

Systems

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Prof. Anita Sharma

Prof. Anita Sharma

Data & Cloud

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Dr. Ramesh Kulkarni

Dr. Ramesh Kulkarni

Security & Privacy

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Prof. Kavita Rao

Prof. Kavita Rao

IoT & CPS

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Dr. Meera Iyer

Dr. Meera Iyer

AI/ML

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Prof. Rajesh Nair

Prof. Rajesh Nair

Data Science

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Dr. Priya Menon

Dr. Priya Menon

Quantum Tech

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Prof. Nidhi Verma

Prof. Nidhi Verma

AI/ML

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Dr. Arjun Patel

Dr. Arjun Patel

Systems

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Prof. Ritu Das

Prof. Ritu Das

Data Science

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Dr. Ajay Thomas

Dr. Ajay Thomas

Cloud Systems

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Prof. Leela Krishnan

Prof. Leela Krishnan

AI & Ethics

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Prof. Manish Joshi

Prof. Manish Joshi

Cyber Security

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Prof. Sneha Gupta

Prof. Sneha Gupta

IoT Systems

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Dr. Varun Malhotra

Dr. Varun Malhotra

Systems

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Prof. Neha Kapoor

Prof. Neha Kapoor

Data Analytics

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Dr. Sandeep Rao

Dr. Sandeep Rao

Cloud & Systems

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Prof. Aarti Singh

Prof. Aarti Singh

AI & Robotics

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Dr. Kiran Bansal

Dr. Kiran Bansal

Quantum Tech

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Prof. Rohit Sharma

Prof. Rohit Sharma

Cyber Security

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Clubs & Committees

Build community, compete, and lead

Entrepreneurship Club
Entrepreneurship & Product Lab
Research Club
Research & Publications Club
Tech-for-Good Club
Tech-for-Good & Leadership Club
Women in Computing
Women in Computing & Diversity Club
Coding Club
Algorithms, Coding & Hackathon Club
AI Club
AI & Data Science Club
Cybersecurity Club
Cybersecurity & Systems Club
Cloud Club
Cloud, IoT & Emerging Tech Club
Quantum Club
Quantum Computing Club
Cultural Club
Social, Cultural & Community Club
TIPC
Training, Internship & Placement Club (TIPC)
Holistic Club
Holistic Development Club

Admissions

Eligibility & Admissions

Class 12 with Physics, Mathematics, and Chemistry/Computer Science; minimum 75% aggregate; valid JEE (Main/Advanced) or equivalent. International/NRI pathways recognized.

1) Apply Online

Submit transcripts, resume, and scores (if available).

2) Shortlisting

Holistic screening based on academics and fit.

3) GD/Interview

Evaluate problem-solving, communication, and motivation.