Online M.Tech. in Wireless Networks & Machine Learning (Win-ML)

The Online M.Tech. in Wireless Networks & Machine Learning (Win-ML) by IIT Kanpur empowers graduates and professionals to master next-gen communication and AI-driven systems. Combining wireless expertise with advanced Machine Learning skills, the program opens pathways to innovation, research, and career growth.

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Curriculum Template

Programme Curriculum
Total Credits
144
9 credits/course
Core Courses
2
18 credits
Elective Courses
6
54 credits
Thesis/Project
1
72 credits

Courses Offered

EE900E
Core Credits: 9
Linear Algebra
Prerequisites: None
EE901E
Core Credits: 9
Probability and Stochastic Processes
Prerequisites: None
EE902E
Elective Credits: 9
Digital Communications
Prerequisites: None
EE903E
Elective Credits: 9
Information & Coding Theory
Prerequisites: None
EE904E
Elective Credits: 9
Wireless Communications
Prerequisites: None
EE905E
Elective Credits: 9
Computer & Wireless Networks
Prerequisites: Prerequisite: Basic Economics and interest in technology/policy
EE906E
Elective Credits: 9
Image Processing
Prerequisites: None
EE907E
Elective Credits: 9
Statistical Signal Processing
Prerequisites: None
EE908E
Elective Credits: 9
Fundamentals of Data Science and Machine Intelligence
Prerequisites: None
EE909E
Elective Credits: 9
Digital Switching
Prerequisites: None
EE910E
Elective Credits: 9
Introduction to Reinforcement Learning
Prerequisites: None
EE911E
Elective Credits: 9
Mathematical Structures of Signals and Systems
Prerequisites: None
EE912E
Elective Credits: 9
Detection and Estimation Theory
Prerequisites: None
EE913E
Elective Credits: 9
Computer Vision and Deep Learning
Prerequisites: None
EE914E
Elective Credits: 9
Convex Optimization
Prerequisites: None
EE915E
Elective Credits: 9
MIMO Wireless Communications
Prerequisites: None
EE916E
Elective Credits: 9
Peer-to-peer networks
Prerequisites: None
EE917E
Elective Credits: 9
5G Wireless Technologies
Prerequisites: None
EE918E
Elective Credits: 9
Analysis of Modern Wireless Networks
Prerequisites: None
EE919E
Elective Credits: 9
Speech Signal Processing
Prerequisites: None
EE920E
Elective Credits: 9
Quantum Computing and Communication
Prerequisites: None
EE921E
Elective Credits: 9
Coherent Imaging
Prerequisites: None
EE922E
Elective Credits: 9
Natural Language Processing
Prerequisites: None
EE923E
Elective Credits: 9
AI in Healthcare
Prerequisites: None
EE924E
Elective Credits: 9
Unsupervised Learning
Prerequisites: None
EE925E
Elective Credits: 9
Modern Technologies for 5G and Beyond
Prerequisites: None
EE926E
Elective Credits: 9
Machine Learning For Wireless Communications
Prerequisites: None
EE927E
Elective Credits: 9
Simulation Techniques in Modern Wireless
Prerequisites: None
EE928E
Elective Credits: 9
Introduction to Machine Learning
Prerequisites: None
EE929E
Elective Credits: 9
AIML Projects with real-world datasets
Prerequisites: None

Eligibility Criteria

  • Minimum CPI 5.5 or 55% marks in the qualifying degree

  • A valid score above department-stated cut-off in approved national-level exams as applicable to the program discipline (GATE)
  • Or via IIT Kanpur’s online proctored entrance test [syllabus]

  • B.Tech./B.E./BS/BSc(4-years)/MSc in EE, ECE, CS, DS, BM, IN, Mathematics, Physics and allied disciplines
  • Selection through written test and/or interview

  • Professionals with over 5 years of relevant experience
  • Applicants with valid national-level test scores above the department specified cutoff
  • Candidates nominated or sponsored by government/defense/other recognized organizations

Program Fee

Instructors

Dr. Ketan Rajawat
Research Interest:

Optimization Algorithms for Comm & ML, UAV Comm. & Optimization, Digital Twins in Healthcare

Dr. Abhishek Gupta
Research Interest:

Wireless communications, Near field and ISAC, Vehicular networks, Molecular communications, Reconfigurable intelligent surfaces (RIS), & related areas

Dr. Washim Uddin Mondal
Research Interest:

Reinforcement Learning, AI-Enabled Network Design, Quantum Optimization and Learning

Dr. S. Yatindra Nath Singh
Research Interest:

Peer-to-peer networks, Overlaid multicasting, Delay Tolerant Networks, Elastic Optical networks, Optical Packet switching architectures, Packet and circuit switching, Telecomm Network Management, & related areas

Dr. Aditya K. Jagannatham
Research Interest:

5G and 6G Wireless Technologies, OTFS Modulation, Terahertz (THz) Communication, Visible Light Communication (VLC), & related areas

Dr. Gannavarpu Rajshekhar
Research Interest:

Light Microscopy, Optical Metrology, Digital Holography, Quantitative Phase Imaging

Dr. Koteswar Rao Jerripothula
Research Interest:

Computer Vision & Image Processing, Artificial Intelligence & Machine Learning, Multimedia Computing & Systems, Medical Imaging & Informatics

Dr. Hamim Zafar
Research Interest:

Computational Biology, Probabilistic modeling, Singlecell biology, Evolution & Cancer

Dr. Subrahmanya Swamy Peruru
Research Interest:

Wireless Networks, Artificial Intelligence

Dr. Ashutosh Modi
Research Interest:

Natural Language Processing (NPL), Machine Learning (ML) and Artificial Intelligence (AI)

Dr. Adrish Banerjee
Research Interest:

Coding Theory, Wireless Communications, Applications of Machine Learning in Communications and Signal Processing, Molecular Communications

Dr. Rajesh M. Hegde
Research Interest:

Sensor Array and Multi Channel Signal processing, Microphone array signal processing and Beamforming, Spatial Audio and AR/VR/MR for 6G Applications, AI/ML, and Federated Learning for 6G, Edge and Fog Networks, Spherical Harmonic Processing for Next Generation (6G) signal processing and communication

Dr. Rohit Budhiraja
Research Interest:

Machine learning for 6G wireless systems, signal processing and design of 6G wireless systems including gigantic MIMO, cellfree systems, integrated sensing and communications (ISAC), intelligent reflecting surfaces

Dr. Kasturi Vasudevan
Research Interest:

Digital communications, Discrete-time signal processing, Synchronization, Detection & estimation, OFDM, OFDM-OQAM, massive MIMO, Turbo codes, Equalization

Dr. Tushar Sandhan
Research Interest:

Signal Processing, Computer Vision, Machine Learning, Data science and Pattern Recognition, AI and non-invasive systems

Dr. Sayak Ray Chowdhury
Research Interest:

Sequential Decision making, Language Model Optimization, Privacy, Safety, and Fairness

Dr. Rituraj
Research Interest:

Nanophotonics, Optoelectronic devices, Quantum optics, Waveguide quantum electrodynamics

Program FAQ

General Questions

Anyone with a relevant bachelor's degree and minimum 55% marks or 5.5 CPI can apply. Specializations vary across departments but are designed to be interdisciplinary and industry-relevant, with electives across domains.

You can complete the program in 2 to 4 years, at a self-paced schedule.

The total fee is approximately ₹9.33 lakhs, including course, exam, and trimester fees.

Yes. You can pursue either a research (thesis) track or an industry-oriented (project) track.Depending on the department.


 

Questions for Career and Alumni

Yes. Graduates of these programs become part of the prestigious IIT Kanpur alumni network — a global community of innovators and leaders.

They offer industry-relevant curriculum, flexible learning, and credentials from one of India’s top institutes — helping boost both technical expertise and career growth.