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IIIT Dharwad logoIIIT DharwadM.Tech Admissions

Admissions Open · September 2026

IIIT Dharwad · Institute of National Importance

M.Tech in
Quantum AI & Computing

Build the technical expertise to shape the next generation of quantum technology and its real-world applications.

Duration

2 Years

Learning Mode

Live Online

Degree Credits

60 Credits

Batch Starts

September 2026

Live online learning
Hands-on Quantum Labs
Optional campus immersion

Application Registration

Apply Now

Register to receive your application number and portal access.

The Program

Learn quantum by working with it

A four-semester journey from first principles to advanced specialization and applied research.

IIIT Dharwad

Quantum Labs

Industry Context

Flexible Pathway

Learners collaborating on quantum circuit concepts

Think · Build · Test

Turn complex quantum ideas into working understanding.

Specialization Tracks

Choose where you want to create impact

01

Quantum AI

02

Quantum Communication

03

Quantum Sensing

The Quantum Opportunity

The industry is moving. Skills must move with it.

Quantum technology is moving from research toward real applications across computing, engineering and science.

Build the interdisciplinary fluency to connect quantum fundamentals with software, AI and engineering practice.

Global Quantum Technology Market

$60–100B1

Projected market for quantum hardware, software and services worldwide by 2035.

Economic Value Creation Potential

$1.3–2.7T1

Potential worldwide economic value created by quantum computing across industries by 2035.

16,4822

Pure-play quantum workers at the end of 2025

8,2612

New quantum-related position openings during 2025

7,4202

Quantum-engaged organizations identified globally

Where these skills applyOptimisationMaterialsLife SciencesSecure CommunicationAdvanced Sensing

IIIT Dharwad

Director's Message

Prof. S. R. Mahadeva Prasanna
Director, IIIT Dharwad

Program and Specialization

From Foundations to Industry Applications.

Move from core concepts to advanced electives and a substantial four-semester project track.

Course TypeCourseCredits
Discipline Core
01

Quantum Physics for Quantum Computing

2
Discipline Core
02

Introduction to Quantum Computing

2
Discipline Core
03

Introduction to Electronics for Quantum Technology

1
Discipline Core
04

Basics of AI & ML

1
Discipline Core Lab
05

Quantum Computing Programming Lab

2
Discipline Core Lab
06

Quantum AI & ML Lab

2

CourseCredits
01

Introduction to Research

2
02

Research Survey and Seminar

2

Specialization 1

Quantum AI

11 Credits
No.CourseCredits
  1. 01Classical Information1
  2. 02Quantum Information and Complexity Theory1
  3. 03Gradient Optimization1
  4. 04Quantum Algorithms2
  5. 05Quantum Deep Learning2
  6. 06Hybrid Quantum-Classical AI Systems2
  7. 07Advanced Quantum AI / Quantum Data Science2

CourseCredits
01

Quantum Information Theory

2
02

Open Elective 2

3

CourseCredits
01

Project I

3
02

Project II

6
03

Project III

9
04

Project IV

12

Credits and Completion

Master's Program Structure

See the credit composition, attendance requirement and two qualification milestones at a glance.

Credit Composition

60 Credits

Foundation Core10
Master’s Core4
Specialization Track11
Open Elective5
Project30

Attendance Policy

75% Minimum

Per Semester

60%

Online Live Classes

15%

Recorded Learning

Exit Option 01

PG Diploma

30 Credits

Complete the prescribed requirements through Semester 2.

Exit Option 02

M.Tech Degree

60 Credits

Complete the full pathway, including the project requirements.

Learners exploring quantum methods for molecular science

Applied Quantum Learning: Technology Stack

From algorithm design to implementation.

QpiAI logo
Qiskit logo
PennyLane logo
Cirq logo
TensorFlow Quantum logo
AWS Braket logo
Python logo
NumPy logo
Jupyter logo
NVIDIA CUDA Quantum logo

Online Pedagogy and Delivery

Learn it. Apply it. Demonstrate it.

Live online classes and an applied online learning rhythm designed to move ideas from instruction into practice.

Faculty and learners working through a quantum algorithm

Campus Immersion Opportunity

01Online and Faculty Led

Connect

Join live, faculty-led online classes, concept walkthroughs, discussions and Q&A.

02Experiential

Practice

Translate theory into circuits, simulations, coding exercises and guided lab work.

03Cohort Based

Collaborate

Solve problems with peers from engineering, science and industry backgrounds.

04Assessed

Demonstrate

Show mastery through assignments, assessments, projects and research milestones.

Faculty and Industry Experts

Learn from Quantum Experts shaping the field

IIIT Dharwad faculty and industry practitioners bring academic depth and current perspective into the classroom.

Prof. S. R. Mahadeva Prasanna, Director, IIIT Dharwad

Prof. S. R. Mahadeva Prasanna

Director, IIIT Dharwad

Academic and Institutional Leadership

Prof. V. Ravishankar, Adjunct Professor, IIIT Dharwad

Prof. V. Ravishankar

Adjunct Professor, IIIT Dharwad

Editor of India’s First Quantum Computing Roadmap

Dr. Aswath Babu H., Assistant Professor and Head, DASD, IIIT Dharwad

Dr. Aswath Babu H.

Assistant Professor and Head, DASD, IIIT Dharwad

Quantum AI, Quantum Machine Learning, and Quantum NLP Researcher

Dr. Rajesh Kumar, Assistant Professor and Head, ECE, IIIT Dharwad

Dr. Rajesh Kumar

Assistant Professor and Head, ECE, IIIT Dharwad

Quantum RF Circuits and Quantum Communication Hardware Researcher

Mr. Lakshya Priyadarshi, Vice President, Quantum Platforms and Solutions, QpiAI

Mr. Lakshya Priyadarshi

Vice President, Quantum Platforms and Solutions, QpiAI

Developer of India's first Quantum Simulator Software

Dr. Amlan Mukherjee, Principal Scientist, QpiAI; Professor of Practice, IIIT Dharwad

Dr. Amlan Mukherjee

Principal Scientist, QpiAI; Professor of Practice, IIIT Dharwad

Quantum Technology Researcher with 10+ Quantum Patents

Dr. Deepak K. T., Assistant Professor and Associate Dean–R&D, IIIT Dharwad

Dr. Deepak K. T.

Assistant Professor and Associate Dean–R&D, IIIT Dharwad

Electronics and Communication Engineering Faculty

Dr. Pankaj Kumar, Assistant Professor, ECE, IIIT Dharwad

Dr. Pankaj Kumar

Assistant Professor, ECE, IIIT Dharwad

Electronics and Communication Engineering Faculty

Dr. Sunil Saumya, Assistant Professor and Associate Dean–Academics, IIIT Dharwad

Dr. Sunil Saumya

Assistant Professor and Associate Dean–Academics, IIIT Dharwad

Data Science and Artificial Intelligence Faculty

Dr. Nataraj K. S., Assistant Professor, ECE, IIIT Dharwad

Dr. Nataraj K. S.

Assistant Professor, ECE, IIIT Dharwad

Electronics and Communication Engineering Faculty

Dr. Phani Kumar Peddibhotla, Associate Professor, IISER Bhopal

Dr. Phani Kumar Peddibhotla

Associate Professor, IISER Bhopal

Expert in Quantum Optics, Diamond NV Centers, and Quantum Sensing

Prof. Prasanta K. Panigrahi, Professor (Retired), IISER Kolkata; Adjunct Professor, IIIT Dharwad

Prof. Prasanta K. Panigrahi

Professor (Retired), IISER Kolkata; Adjunct Professor, IIIT Dharwad

Chairman, Government of India Task Force on Quantum Computing

Dr. Anindita Banerjee, Project Manager, AIQT, C-DAC Pune

Dr. Anindita Banerjee

Project Manager, AIQT, C-DAC Pune

Developer of India’s First Fiber-Based Quantum Key Distribution System

Dr. Manish Modani, Solution Architect, NVIDIA; Professor of Practice, IIIT Dharwad

Dr. Manish Modani

Solution Architect, NVIDIA; Professor of Practice, IIIT Dharwad

Leads Nvidia's Indian Quantum Ecosystem Initiatives

IIIT Dharwad campus building

About IIIT Dharwad

An Institute of National Importance

Established in 2015 through the participation of the Government of India, Government of Karnataka and industry partner Keonics, IIIT Dharwad advances technology education through academic rigor, innovation and industry engagement.

The IIIT Dharwad Advantage

Academic depth with applied quantum learning

Institute-Led Degree

An IIIT Dharwad M.Tech backed by academic Senate oversight.

Quantum Depth

Foundations, specialization, labs and a four-semester project track.

Campus Immersion

An optional seven-day experience for labs, faculty interaction and networking.

Flexible Online Learning

Live, interactive sessions structured for working professionals.

Degree Certification

Earn a Prestigious IIIT Dharwad Qualification

Gain a nationally recognized qualification that strengthens your professional credibility and positions you for emerging opportunities in quantum technology.

PG Diploma · 30 CreditsM.Tech Degree · 60 Credits
M.Tech in Quantum AI and Computing degree certificate issued by IIIT Dharwad

Alumni Privileges

Your connection continues after graduation

Alumni Email

An Institute alumni email identity.

Alumni ID

Identification issued under Institute policy.

Network and Events

Access to relevant alumni activities.

IIIT Dharwad Alumni

Perspectives from the IIIT Dharwad community

Alumni reflect on the learning environment, faculty guidance and professional foundations shaped at the Institute.

The curriculum was rigorous and relevant, while hands-on projects and a supportive faculty gave me a strong engineering foundation and lasting peer network.

SK

Shivam Kumar

SDE-2

IIIT Dharwad’s broad technology exposure helped me explore AI, cloud computing and cybersecurity, building a versatile foundation for different career paths.

SS

Somisetty Sai Praneeth

Associate Analyst

The competitive yet collaborative culture encouraged me to push my limits, while faculty support created a strong environment for academic and professional growth.

PC

Pravalika Chinthala

Machine Learning Engineer

Faculty guidance and individual attention played a pivotal role in shaping my career and gave our inaugural cohort the confidence to realise its potential.

AM

Archana M D

Silicon DFT Engineer, Google

An industry-aligned curriculum and emphasis on practical applications gave me a strong technical foundation and useful problem-solving skills.

SR

Sagar Raikar

Machine Learning Engineer

Updated courses in AI, machine learning and big data, together with a supportive learning environment, helped me grow professionally and personally.

AK

Abhay Kumar

Senior Data Engineer

Eligibility

Built for professionals ready to go deeper

Applicants must meet the Institute’s qualifying-degree and academic-performance requirements.

01

Qualifying Degrees

B.E., B.Tech., M.Sc., MCA or a four-year B.S. degree from an institution approved by AICTE or recognized by UGC.

02

Academic Performance

CGPA/CPI of 6.0 or 60% marks in aggregate.

Working Professional Consideration

The aggregate requirement may be relaxed for working professionals based on the recommendation of the Admission Committee. Meeting minimum eligibility does not guarantee admission.

Enrolment Process

Pathway to Admission

Move from application registration to selection through a transparent, stage-by-stage process.

01

Register

Submit Application Registration and receive your application number.

02

Apply and Pay

Complete the detailed form and pay the ₹2,000 Application Fee.

03

Interview

Attend the admission interview when shortlisted by the team.

04

Admission Decision

If selected, receive the offer and complete the Program Fee.

Program Fees

Program Fee & Payment Plan

A semester-wise fee structure, designed for convenient payment across the four-semester program.

Fee ComponentAmount

Application Fee

₹2,000

1st Semester Fee

₹1,10,625

2nd Semester Fee

₹1,10,625

3rd Semester Fee

₹1,10,625

4th Semester Fee

₹1,10,625

Total Program Fee (Excluding Application Fee)

₹4,42,500

Payment Methods

Net BankingCredit CardsUPI
Financing OptionsComing Soon

Frequently Asked Questions

What you need to know

Practical answers about the program, learning experience and admissions.

Need More Help?

Speak with the admissions team about the program or your application.

The standard duration is two years across four semesters. Eligible learners may pause and re-enter, with a maximum of four years to complete the program.

The brochure describes it as a degree equivalent to an on-campus M.Tech. The complete pathway carries 60 credits, including extensive project work.

Learners can pursue Quantum AI, Quantum Communication or Quantum Sensing through the specialization and project pathway.

The program is designed for engineering and science graduates who want rigorous postgraduate preparation in quantum computing.

Eligible learners may pause and re-enter subject to Institute rules. The maximum permitted duration to complete the program is four years.