Indian Institute of Technology Kharagpur
Indian Institute of Technology Kharagpur Outreach Course Network IIT Kharagpur OCN — Outreach Course Network

Micro-Specialisations under the OCN

The Portfolio


Theme 01

AI, Computing and Mathematics

4 programmes
Foundations of Generative AI Department of Computer Science and Engineering · IIT Kharagpur Live now12 credits4 courses144 contact hours

Covers the core pillars of modern AI, beginning with the mathematical principles of machine learning and advancing into deep neural network architectures. The programme extends into two major application domains, natural language processing and computer vision, giving learners both the theory and the practical tools to build intelligent systems. Together the courses span the full stack of contemporary AI, from learning algorithms to perception and language understanding.

Total credits
12
Courses
4
Contact hours
144
Prerequisites
Programming (C or Python)
Course stack
CourseL–T–PCredits
Machine Learning3-0-03
Deep Learning3-0-03
Natural Language Processing3-0-03
Advanced Digital Image Processing and Computer Vision3-0-03
Generative and Agentic AI Department of Artificial Intelligence · IIT Kharagpur Live now12 credits4 courses144 contact hours

A structured pathway into generative and agentic AI, moving from the fundamentals of machine learning through large language models, autonomous AI agents and responsible AI practice. Builds the conceptual understanding and the practical skill needed to design, build and deploy generative and agentic AI solutions for real-world problems, in a field that continues to reshape industries and redefine the future of work.

Total credits
12
Courses
4
Contact hours
144
Prerequisites
Programming in Python, Probability and Statistics, Linear Algebra
Course stack
CourseL–T–PCredits
Foundation of Machine Learning3-0-03
Foundation of Large Language Models3-0-03
Agentic AI Systems3-0-03
Responsible AI3-0-03
Foundations of Algorithms Department of Computer Science and Engineering · IIT Kharagpur Live now12 credits4 of 8 courses144 contact hours

A rigorous foundation in algorithm design and analysis, progressing from classical techniques to advanced topics. Covers exact, randomized, parameterized and approximation algorithms, with electives spanning algorithmic game theory, graph-theoretic methods and online decision-making.

Total credits
12
Courses
4 of 8
Contact hours
144
Prerequisites
Any programming language
Course stack
CourseL–T–PCredits
Algorithms I3-1-04
Algorithms II3-1-04
Selected Topics in Algorithms3-0-03
Randomized Algorithms Design3-0-03
Parameterized Algorithms3-0-03
Approximation and Online Algorithms3-0-03
Advanced Graph Theory3-1-04
Algorithmic Game Theory3-0-03
Mathematical Foundations of AI and ML Department of Mathematics · IIT Kharagpur Available16 credits5 courses192 recorded + 64 live

Ties mathematical foundations directly to their use in AI and ML: linear algebra and numerical optimisation for training and refining models, probability for modelling uncertainty, and discrete structures for the graphs and search algorithms behind AI.

Total credits
16
Courses
5
Contact hours
192 recorded + 64 live
Prerequisites
First-year level foundational mathematics
Course stack
CourseL–T–PCredits
Probabilistic Techniques for Machine Learning3-0-03
Applied Linear Algebra3-0-03
Discrete Structures and Algorithms3-0-03
Numerical Optimization3-0-03
Advanced Machine Learning4-0-04
Theme 02

Finance, Business and Entrepreneurship

4 programmes
Financial Modeling and Risk Analysis Department of Humanities and Social Sciences · IIT Kharagpur Available12 credits4 of 6 courses144 contact hours

A comprehensive understanding of financial institutions, markets, derivatives, corporate valuation and financial management, with a strong focus on practical financial modeling. Learners are equipped to analyse risk, make informed investment decisions and evaluate corporate performance.

Course Coordinator: Prof. Jitendra Mahakud, Dr. Inder Sekhar Yadav, Prof. Gourishankar Hiremath

Total credits
12
Courses
4 of 6
Contact hours
144
Prerequisites
None
Course stack
CourseL–T–PCredits
Financial Institutions and Markets3-0-03
Financial Management3-0-03
Corporate Valuation and Restructuring3-0-03
Derivatives3-0-03
Financial Modelling3-0-03
Financial Econometrics3-0-03
Financial Mathematics Department of Mathematics · IIT Kharagpur Available15 credits4 courses180 contact hours

Bridges mathematical foundations and their application in finance. Each theoretical concept is connected to a financial application, from modelling uncertainty through statistical inference to stochastic calculus for derivative pricing.

Total credits
15
Courses
4
Contact hours
180
Prerequisites
First-year level foundational mathematics
Course stack
CourseL–T–PCredits
Probability and Statistical Inference with R4-0-04
Optimization Methods in Finance4-0-03
Regression and Time Series4-0-04
Stochastic Calculus in Finance4-0-04
Global Business and Economic Strategy Department of Humanities and Social Sciences · IIT Kharagpur Available14 credits5 courses168 contact hours

Enables learners to interpret the contemporary dynamics of global business in an era of energy transition and rising geopolitical risk. A balanced theoretical and empirical approach sharpens analytical thinking and prepares learners for business leadership and entrepreneurship.

Course Coordinator: Dr. Anwesha Aditya, Dr. Siddhartha Chattopadhyay, Dr. Prantik Bagchi

Total credits
14
Courses
5
Contact hours
168
Prerequisites
None
Course stack
CourseL–T–PCredits
Principles of Economics3-0-03
Market Structure and Pricing Strategies3-0-02
Foundations of Global Business3-0-03
Shifting Dynamics of Globalization3-0-03
Sustainable Global Business Practices3-0-03
Entrepreneurship and Venture Creation in the AI Era Rajendra Mishra School of Engineering Entrepreneurship · IIT Kharagpur Available14 credits5 courses168 contact hours

Equips learners to transform innovative ideas into viable ventures by integrating technical problem-solving with business strategy. Emphasises design thinking, product development, business model innovation, feasibility assessment, financing and market potential. The capstone requires a prototype or business concept, a business plan, and a pitch to a panel of faculty, industry and investors.

Course Coordinator: Prof. Prabha Bhola

Total credits
14
Courses
5
Contact hours
168
Prerequisites
None
Course stack
CourseL–T–PCredits
Foundation of Entrepreneurship3-0-03
Product Development3-0-03
Design Thinking Laboratory0-0-32
Financing New Venture3-0-03
Marketing and Market Research2-1-03
Theme 03

Energy, Sustainability and Climate

6 programmes
Battery Technology for Energy Storage School of Energy Science and Engineering · IIT Kharagpur Available13 credits2 + capstone courses156 contact hours

A broad overview of energy storage technologies, comparing batteries, fuel cells and alternative systems. Covers the fundamentals of battery operation, key components and performance metrics, followed by rechargeable battery behaviour, modelling and simulation.

Total credits
13
Courses
2 + capstone
Contact hours
156
Prerequisites
None
Course stack
CourseL–T–PCredits
Battery Storage and Fuel Cells3-1-04
Rechargeable Battery Performance Modeling3-0-03
Capstone Project0-0-66
Modern Methods in Thermal-Fluid Sciences and Engineering Department of Mechanical Engineering · IIT Kharagpur Available12 credits4 courses144 contact hours

A research-driven journey through the core and cutting-edge domains of thermal-fluid sciences, spanning fundamental heat transfer and fluid mechanics, computational methods including CFD and OpenFOAM, AI and ML driven flow analysis, microscale thermo-fluid systems, IC engine technologies and sustainable energy applications.

Total credits
12
Courses
4
Contact hours
144
Prerequisites
None
Cryogenics for Energy and Environment Cryogenic Engineering Centre · IIT Kharagpur Available19 credits6 courses228 contact hours

Covers industrial-scale production of low temperature fluids such as LNG, liquid hydrogen and liquid oxygen, which serve as environmentally favourable energy carriers, together with carbon capture, gas separation and hydrogen technology.

Total credits
19
Courses
6
Contact hours
228
Prerequisites
None
Course stack
CourseL–T–PCredits
Cryogenic Liquefaction Systems and Cryocoolers4-0-04
LNG Engineering and Technology3-1-04
Cryogenic Carbon Capture2-0-02
Cryogenic Process Plants Simulation1-0-33
Hydrogen Technology3-0-03
Cryogenic Gas Separation and Purification3-0-03
Cryogenic Technology Fundamentals, Materials and Applications Cryogenic Engineering Centre · IIT Kharagpur Available18 credits5 courses216 contact hours

Provides the fundamentals underlying the applications of cryogenics, together with the relevant materials science and enabling technologies, from superconductivity and low-temperature matter through to vacuum technology and heat and mass transfer.

Total credits
18
Courses
5
Contact hours
216
Prerequisites
None
Course stack
CourseL–T–PCredits
Introduction to Cryogenics and Superconductivity3-1-04
Cryogenic Liquefaction Systems and Cryocoolers3-1-04
Heat and Mass Transfer in Cryogenic Systems3-1-04
Vacuum Technology3-0-03
Matter at Low Temperatures3-0-03
Engineering Hydrology and Water Infrastructures using AI/ML Department of Civil Engineering · IIT Kharagpur Available14 credits4 + 1 lab courses168 contact hours

Integrates core principles of hydrology and hydraulic engineering with modern data-driven techniques to address contemporary water resource challenges. Learners gain analytical, computational and experimental skills to design, assess and optimise water infrastructure systems under varying environmental conditions.

Total credits
14
Courses
4 + 1 lab
Contact hours
168
Prerequisites
Nil
Course stack
CourseL–T–PCredits
Hydraulic Engineering3-0-03
Engineering Hydrology3-0-03
Water Infrastructures3-0-03
Statistical and Machine Learning Methods3-0-03
Smart Water Laboratory0-0-22
Sustainable Water and Remediation Technologies School of Water Resources · IIT Kharagpur Available13 credits4 courses156 contact hours

Focuses on emerging challenges and advanced technological solutions in water pollution control, aquatic ecosystem management, subsurface contamination remediation and sustainable water reclamation engineering.

Total credits
13
Courses
4
Contact hours
156
Prerequisites
None
Course stack
CourseL–T–PCredits
Geogenic Water Pollution and Control3-0-03
Aquatic Ecology and Microbiology4-0-04
Subsurface Contamination Remediation3-0-03
Advanced Water Reclamation Engineering3-0-03
Theme 04

Advanced Manufacturing and Materials

2 programmes
Advanced Materials and Manufacturing with Digital Twins Department of Mechanical Engineering · IIT Kharagpur Available20 credits5 courses240 contact hours

A comprehensive treatment of modern manufacturing, from advanced welding, micro-machining and surface engineering to the fabrication of high-performance composites, supported by digital twin tools. Integrates computational methods such as Finite Element Analysis to solve real-world engineering problems, with emphasis on precision, quality control and industrial reliability. Includes international faculty from Concordia University and the University of Delaware.

Total credits
20
Courses
5
Contact hours
240
Prerequisites
None
Course stack
CourseL–T–PCredits
Welding and Allied Processes3-0-14
Precision and Micro Manufacturing3-0-14
Finite Element Analyses: Theory and Software Implementation3-0-14
Thermal Spray Coatings and Tribology3-0-14
Fabrication, Processing and Modelling of Advanced Materials3-0-14
Polymer Science and Technology Department of Chemistry · IIT Kharagpur Available12 credits3 courses144 contact hours

Covers the fundamentals and applications of polymers, spanning synthesis, molecular weight determination and chemical characterisation, alongside processing and the characterisation of thermal, mechanical, rheological and optical properties.

Total credits
12
Courses
3
Contact hours
144
Prerequisites
None
Course stack
CourseL–T–PCredits
Polymer Chemistry3-1-04
Metallopolymers for Smart Applications3-1-04
Advanced Polymer Applications3-1-04
Theme 05

Healthcare and Life Sciences

2 programmes
Biodesign for Affordable Healthcare Centre of Excellence in Affordable Healthcare · IIT Kharagpur Available12 credits4 of 5 (one compulsory) courses144 contact hours

Addresses the need for interdisciplinary training in healthcare technology, with a focus on affordable and scalable solutions. Spans medical device design, digital health, embedded systems, biomechanics and assistive technologies, areas typically taught in isolation but inherently connected in real-world healthcare systems.

Total credits
12
Courses
4 of 5 (one compulsory)
Contact hours
144
Prerequisites
None
Course stack
CourseL–T–PCredits
Biodesign Concept and Practice2-0-23
Embedded System Design for Affordable Healthcare2-0-23
Introduction to Movement Biomechanics and Rehabilitation3-0-03
Biomedical Assistive System2-0-23
Design for Digital Health2-0-23
Next Generation Sequencing Technologies and Applications in Omics Department of Bioscience and Biotechnology · IIT Kharagpur Available14 credits4 courses168 contact hours

Next Generation Sequencing has transformed the biological and medical sciences and is applied routinely across industrial and academic R&D. Introduces sequencing platforms, data analysis and applications across genomics, metagenomics and transcriptomics.

Total credits
14
Courses
4
Contact hours
168
Prerequisites
Genetics
Course stack
CourseL–T–PCredits
Introduction to Next Generation Sequencing and Sequence Data Analysis2-0-23
Genome Assembly, Annotation and Analysis2-0-23
Applications of Metagenomics3-1-04
RNA-sequencing and Transcriptomic Data Analysis3-0-24
Theme 06

Autonomous Systems and Aerospace

2 programmes
Drone Technology Aerospace Engineering, ECE, AI and Mathematics · IIT Kharagpur Available16 credits6 + project courses204 contact hours

A multi-disciplinary programme spanning aerospace, electronics, AI and mathematics, covering drone dynamics, aerodynamics and propulsion, flight controls, avionics and AI for drone systems, closing with applications, case studies and a dedicated project. Includes international faculty from Texas A&M University and an industry contributor.

Total credits
16
Courses
6 + project
Contact hours
204
Prerequisites
NA
Course stack
CourseL–T–PCredits
Mathematical Foundations for Drone Technology2-0-02
Aerodynamics and Propulsion for Drone Systems2-0-02
Fundamentals of Drone Flight Controls3-0-03
Avionics2-0-02
AI for Drone Systems2-0-02
Drone Applications and Case Studies2-0-02
Project0-0-43
Aerodynamics and Control of Autonomous Drones Department of Aerospace Engineering · IIT Kharagpur Available14 credits4 courses168 contact hours

Introduces the aerodynamic, control and design foundations required for modern unmanned aerial vehicles and small autonomous aircraft. Aligned with current aerospace and drone-technology trends including autonomous UAVs, advanced air mobility, Beyond Visual Line of Sight operations and indigenous drone- system development.

Total credits
14
Courses
4
Contact hours
168
Prerequisites
Basic Engineering Mathematics
Course stack
CourseL–T–PCredits
Introduction to Aerodynamics3-1-04
Introduction to Flight Vehicle Controls3-0-03
Unsteady Aerodynamics3-0-03
Aircraft Design and Optimization3-1-04
Theme 07

Next-Generation Communications

2 programmes
6G NETRA: Networks, Edge Intelligence, RAN and Architectures G. S. Sanyal School of Telecommunications · IIT Kharagpur Available14 credits4 + 1 laboratory courses168 contact hours

Covers the network and systems stack of next-generation wireless: AI-native and self-optimising networks, O- RAN and programmable RAN, edge and semantic communication, network digital twins, and space-air- ground-sea integrated architectures. Blends rigorous foundations in network modelling, optimisation and machine learning with extensive hands-on design, simulation and emulation.

Total credits
14
Courses
4 + 1 laboratory
Contact hours
168
Prerequisites
Digital Communication, Computer Networks, Probability Theory, Basic Programming
Course stack
CourseL–T–PCredits
Foundations of 6G Networks3-0-03
AI-Native and Self-Optimising 6G Networks3-0-03
6G Network Systems Laboratory: Design, Simulation and Emulation0-0-32
6G Architecture and Protocol Stack3-0-03
6G Networks for Cyber-physical and Immersive Systems3-0-03
6G PHYNEXT: Physical Layer Emerging Technologies G. S. Sanyal School of Telecommunications · IIT Kharagpur Available14 credits4 + 1 laboratory courses168 contact hours

Covers the physical layer of next-generation wireless: waveform design, advanced antenna technologies for high-frequency wideband communication, AI-enabled transceiver algorithm design, and intelligent sensing with hardware acceleration. Combines rigorous foundations with hands-on laboratory training in design, simulation and hardware realisation.

Total credits
14
Courses
4 + 1 laboratory
Contact hours
168
Prerequisites
Digital Communication, Signals and Systems, Probability Theory
Course stack
CourseL–T–PCredits
Foundations of Wireless Physical Layer Systems and Signal Processing3-0-03
AI-Enabled Transceiver Algorithm Design3-0-03
Wideband Communications3-0-03
Intelligent Sensing and Hardware Acceleration for 6G Systems2-0-03
PHY Systems Laboratory: Design, Simulation and Hardware Realization0-0-22
Theme 08

Safety and Risk Engineering

1 programme
Integrated Safety Engineering and Economics Centre of Excellence on Safety Engineering and Analytics · IIT Kharagpur Available12 credits3 courses144 contact hours

Builds an integrated understanding of safety across industrial, economic and occupational domains. Process safety covers hazard identification, risk assessment and control strategies; safety economics examines the cost-benefit analysis of safety investment; occupational safety engineering addresses workplace hazard management.

Total credits
12
Courses
3
Contact hours
144
Prerequisites
None
Course stack
CourseL–T–PCredits
Process Engineering3-1-04
Safety Economics3-1-04
Occupational Safety Engineering3-1-04
Want to enrol? Structure, eligibility and cohort dates for each programme come from the Outreach Office. There is no direct enrolment through this site — programmes run only through onboarded partners, and details can change.

Bring OCN to Your Campus


Which Micro-Specialisations fit your programme?

Partners choose from the catalogue during onboarding, and ProofSlate maps credits to your degree structure and calendar.

How onboarding works