M.Tech in Computer Science & Engineering (Specialization: Cloud Computing)
The M.Tech in Computer Science & Engineering with a specialization in Artificial Intelligence and Machine Learning is a two-year online postgraduate program, featuring on-campus immersion sessions, designed for professionals and students aiming to develop advanced expertise in AI, intelligent algorithms, and data-driven solutions. The program combines research-focused learning, practical projects, and industry exposure to equip participants for impactful careers in technology leadership, product development, and research. Graduates will gain the skills to design and implement intelligent systems capable of learning, adapting, and evolving across diverse industries.
Eligibility Criteria:
- Educational Qualification : B.E. / B.Tech / M.Sc / MCA degree.
- Employment Status : Candidate should be currently employed.
- Academic Performance:
- General / OBC category
- Minimum CGPA/CPI: 6.5 on a 10-point scale, or Minimum aggregate percentage: 60%.
- SC / ST / PwD category
- Minimum CGPA/CPI: 6.0 on a 10-point scale, or Minimum aggregate percentage: 55%.
- Check Eligibility
Program Objectives
Master Advanced Cloud Technologies
Gain a deep and practical understanding of cloud architecture, virtualization, DevOps, and microservices to design scalable, high-performing solutions.
Design & Optimize Cloud Systems
Learn to plan, deploy, and manage secure, efficient, and cost-effective cloud infrastructures tailored to evolving business and technical needs.
Foster Research & Innovation
Cultivate strong analytical and research skills to address challenges in distributed computing, data management, and network optimization within modern cloud environments.
Build Hands-On Technical Expertise
Strengthen real-world capabilities through guided projects, case studies, and simulations using leading cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
Lead in Security & Compliance:
Develop a strong foundation in cloud governance, compliance frameworks, and data protection mechanisms to ensure trust, transparency, and resilience.
Advance Career & Leadership Readiness
Prepare to take on leadership roles in cloud engineering, solution architecture, consulting, and technology management with a future-ready mindset.
Learning Outcomes for Cloud Computing Professionals
Implement DevOps Practices: Apply continuous integration, continuous deployment (CI/CD), container orchestration, and automation tools for seamless and efficient software delivery.
Ensure Cloud Security & Compliance: Integrate robust encryption, identity management, and compliance frameworks to safeguard data and maintain regulatory standards.
Optimize Cloud Resources: Monitor, analyze, and enhance cloud performance, cost efficiency, and availability through data-driven strategies and analytics tools.
Drive Innovation in Cloud Ecosystems: Design and develop innovative cloud-native applications leveraging serverless computing, edge technologies, and hybrid infrastructures.
Demonstrate Technical & Strategic Impact: Apply acquired skills through a research-driven capstone project that addresses real-world challenges and delivers measurable business impact.
Program Highlights
Prestigious M.Tech Degree
Earn a recognized M.Tech in Computer Science & Engineering with a specialization in Cloud Computing from an Institute of National Importance, empowering your career in advanced computing technologies.
Advanced, Industry-Relevant Curriculum
Master critical concepts in Cloud Architecture, Virtualization, Containerization, DevOps, Distributed Systems, and Cloud Security, integrated with fundamental engineering principles.
Hands-On Campus Immersion
Participate in a 7-day on-campus immersion at IIIT Dharwad featuring live demonstrations, hands-on cloud deployment labs, and expert interactions.
Expert Faculty Guidance
Learn under the mentorship of IIIT Dharwad’s esteemed faculty and industry leaders who bring a blend of research-driven teaching and real-world cloud implementation experience.
Capstone Project
Apply theoretical knowledge to a comprehensive cloud-based project — designing, implementing, and optimizing scalable cloud solutions for real-world challenges.
IIIT Dharwad Alumni Status
Become part of IIIT Dharwad’s elite network of cloud computing experts, innovators, and technology leaders advancing the digital infrastructure landscape.
Course Structure
| Course Type | Course Name | Credits |
|---|---|---|
| DisCore |
Applied Mathematics for Computer Science Unit 1: Linear Algebra Unit 2: Optimization Unit 3: Probability and Stochastic Process |
3 |
| DisCore |
Advanced Data Structures and Algorithms Unit 1: Growth Functions Unit 2: Trees Unit 3: Graph Algorithms Unit 4: Algorithm Design Strategies Unit 5: Complexity Classes |
3 |
| DisCore |
Programming Paradigms Lab Unit 1: Procedural Programming Unit 2: Object-Oriented Programming (OOP) Unit 3: Functional Programming Unit 4: Concurrent & Parallel Execution Unit 5: Declarative and Logic Programming Unit 6: Scripting & Automation |
2 |
| Elective |
Introduction to AI/ML Unit 1: Introduction to AI Unit 2: Problem Solving using Search Unit 3: Knowledge Representation Unit 4: Introduction to Machine Learning Unit 5: Supervised Learning Unit 6: Unsupervised Learning Unit 7: Applications of AI & ML |
1 |
| Elective |
Introduction to Cybersecurity Unit 1: Introduction to Cybersecurity Unit 2: Identity & Access Management Unit 3: Standards & Regulations |
1 |
| Elective |
Introduction to Cloud Computing Unit 1: Introduction to Cloud Computing Unit 2: Cloud Service Models and Deployment Models |
1 |
| Master’s Core |
Introduction to Research Unit 1: Introduction Unit 2: Literature Review Unit 3: Research Exploration Unit 4: Patenting and Publications Unit 5: Presentation, Report and Thesis Writing Unit 6: Conclusions and Future Scope Unit 7: Principles & Ethics in Research |
2 |
| Project | Project-I | 3 |
| Course Type | Course Name | Credits |
|---|---|---|
| DisCore | Advanced Computing Lab | 2 |
| Master’s Core | Literature Review and Seminar | 2 |
| Elective | Electives (1/2/3/4 credits) | 5 |
| Project | Project-II | 6 |
| Course Type | Course Name | Credits |
|---|---|---|
| Project | Project-III | 9 |
| Elective | Electives (1/2/3/4 credits) | 6 |
| Course Type | Course Name | Credits |
|---|---|---|
| Project | Project-IV | 12 |
| Elective | Electives (1/2/3 credits) | 3 |
| Sl. no | Course name |
|---|---|
| 1 | Distributed and Parallel Systems |
| 2 | Security in Cloud Computing |
| 3 | Site Reliability Engineering in Cloud Computing |
| 4 | Biometric Security and Forensics |
| 5 | Big Data Systems |
| 6 | Edge AI |
| 7 | High Performance Computer Architecture |
Alumni Privileges
Students will receive an official Institute Email ID and ID card, and will be eligible to participate in institute events and activities. Upon completion, they become part of the institute’s alumni network.
Tools You'll Master
*Tool exposure varies by specialization; students may not work with all tools listed.
Assessment & Evaluation
Students will be evaluated through a combination of quizzes, assignments, case studies, and end-term examinations. These diverse assessment methods ensure continuous learning and a well-rounded understanding of the subject.
Pedagogy & Delivery
The program follows a blended learning approach, combining multiple instructional methods to enhance learning outcomes:Engage with faculty and peers through discussions, Q&A, and case study analysis.
Access recorded lectures, readings, and practice exercises to reinforce concepts.
Apply knowledge through projects, simulations, and hands-on assignments.
Participate in group exercises, peer learning, and forums to foster teamwork and practical understanding.
Admission Process
Program Certificate
Program Fee Details
Application Fee
Total Fee
Application Fee: ₹ 2,000
Program Fee (Inclusive of Application Fee) : ₹ 3,56,000
| Semester | Fee | Total |
|---|---|---|
| Sem 1 | 88500 | 88500 |
| Sem 2 | 88500 | 88500 |
| Sem 3 | 88500 | 88500 |
| Sem 4 | 88500 | 88500 |
| Total | 3,54,000 | 3,54,000 |
*Easy EMI Options are Available
*The application fees is strictly non-refundable and non-transferable.
Refund Policy
A refund is applicable after a deduction of 10000 before commencement of the batch, provided the course material has not been accessed or downloaded. No refund will be provided on or after the batch commencement date.
Program Director
Dr. Sunil Kumar P V
Assistant Professor
Indian Institute of Information Technology, Dharwad
Dr. Sunil Kumar P V is an academician and researcher in the field of Computer Science and Engineering, with a specialization in Machine Learning for Bioinformatics. He completed his PhD from NIT Calicut and has over 15 years of experience in teaching, research, and industry collaboration. Currently serving as an Assistant Professor at Indian Institute of Information Technology, Dharwad, Dr. Sunil has previously held faculty positions at CMR Institute of Technology, Vellore Institute of Technology, MES College of Engineering, and MEA Engineering College. He has published extensively in peer-reviewed journals and international conferences and has delivered numerous invited lectures and workshops on advanced computing, AI, and bioinformatics. With strong expertise in AI, ML, data analytics, and computational biology, he brings a rich blend of research excellence, teaching acumen, and industry engagement to lead and inspire the next generation of technology professionals.
Program Faculty
Dr. Abdul Wahid
Assistant Professor
Ph.D. (IIT Dhanbad)
Dr. Animesh Roy
Assistant Professor
Ph.D. (IIEST)
Dr. Dibyajyoti Guha
Assistant Professor
Ph.D. (IIT Bhubaneswar)
Dr. Girish G N
Assistant Professor
Ph.D. (NITK)
Dr. Krishnendu Ghosh
Assistant Professor
Ph.D. (IIT Kharagpur)
Dr. Malay Kumar
Assistant Professor
Ph.D. (NIT Raipur)
Dr. Milind Chabbi
Professor of Practice
Rice Univeristy
Dr. Pavan Kumar C
Assistant Professor
Ph.D. (VIT Vellore)
Dr. Prabhu Prasad B M
Assistant Professor
Ph.D. (IIT Bhubaneswar)
Dr. Pramod Yelmewad
Assistant Professor
Ph.D. (NITK Surathkal)
Dr. Shrinivas Kulkarni
Professor of Practice
PhD - University of Edinburgh
Dr. Sunil C K
Assistant Professor
Ph.D. (NITK Surathkal)
Dr. Sunil Kumar P V
Assistant Professor
Ph.D. (NIT, Calicut)
Dr. Suvadip Hazra
Assistant Professor
Ph.D. (NIT Durgapur)
Dr. Vivekraj V K
Assistant Professor
Ph.D. (IIT Roorkee)
Prof. Rajesh Vasa
Adjunct Professor
PhD - Swinburne Univ. of Technology