All Courses
×
Learning Format
Online
Duration
2 Years
M.Tech (Executive) Degree
from NIT Raipur
NIT Raipur
Alumni Status
400+
Hiring Partners
Career Services and
Interview Preparation
3109
1493
24542
This M.Tech (Executive) program from NIT Raipur covers cloud computing, blockchain architecture, distributed systems, and scalable infrastructure management. Through practical projects and implementation-focused learning, learners develop expertise in cloud platforms, DevOps, smart contracts, and cloud-native technologies.
About NIT Raipur
NIT Raipur, established in 1956, is one of India’s oldest and most prestigious NITs. Recognized as an Institute of National Importance, it offers top-ranked undergraduate, postgraduate, and doctoral programs across engineering, architecture, and applied sciences and is known for its cutting-edge research and excellent placement records.
Key achievements of NIT Raipur
Upon the completion of this program, you will:
About NSDC
The National Skill Development Corporation (NSDC) is a not-for-profit organization run by the Government of India under the Ministry of Skill Development and Entrepreneurship. It promotes skill development programs and building a job-ready workforce aligned with industry demands. Upon the completion of this program, students will receive Industry recognized NSDC certificates
Lead at Persistent Systems | India
After losing my job because of COVID-19, I joined this program and found a better job position. The Intellipaat team helped me shift to Azure after 13 years in the IT industry.
Technology Project Lead
Lead at Persistent Systems
59% Average Salary Hike
$1,08,000 Highest Salary
40 LPA Highest Salary
700+ Career Transitions
3100+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Create and maintain scalable cloud architectures and services for reliable performance and maximum efficiency.
Design and develop applications and smart contracts utilizing various blockchain architectures, including Ethereum, Hyperledger, and Solana.
Deploy applications through pipeline automation processes that make use of advanced DevOps principles and technologies.
Architect cloud solutions that deliver high performance and optimization benefits to users.
Design and deploy blockchain-powered smart contracts to facilitate automated and secure transactions.
Ensure infrastructure uptime and scalability through automation and effective management techniques.
Skills to Master
Cloud Infrastructure Management
DevOps & Automation
Blockchain Development
Smart Contract Development
Containerization & Orchestration
Distributed Systems & Cloud Security
Docker & Kubernetes
CI/CD Pipelines
Cloud-Native Application Development
Infrastructure Automation
Decentralized Applications (DApps)
Microservices Architecture
Tools to Master
Expertise in Artificial Intelligence and Machine Learning with significant research contributions in Biomedical Signal Processing and Computational Intelligence. His work focuses on developing intelligent solutions for complex real-world challenges.
Research interests span Data Mining, Graph Mining, and Quantum Computing. He is actively involved in developing innovative computational methodologies and advanced data-driven solutions.
Specializes in Machine Learning and Software Engineering with extensive academic and research experience. His work contributes to advancing intelligent systems and modern software technologies.
Research interests include Data Mining and Text Mining with a focus on intelligent algorithms and analytical models. Her work aims to improve knowledge discovery and data-driven decision-making.
Focuses on Distributed Systems, Blockchain Technology, and Cyber Security with emphasis on secure and scalable computing environments. His research addresses emerging challenges in modern digital systems.
Specializes in Information Security and Authentication with applications in Network and Cloud Security. Her research focuses on strengthening secure communication and data protection mechanisms.
Research interests include Grid and Distributed Computing with a focus on computational efficiency and network optimization. His work contributes to improving the performance of large-scale computing systems.
Focuses on Domain Adaptation and Evolutionary Computation for improving machine learning model robustness and adaptability. His research explores advanced techniques for intelligent learning systems.
Research interests include Computer Science and Engineering with a focus on emerging technologies and advanced computing systems. Her work contributes to developing innovative solutions for modern computing challenges.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on their results of the written test. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Written Test
A written test will be conducted to check suitability for the program
Result Declaration
Candidates will be selected on the basis of their results
Total Admission Fee
A non-refundable application fee of ₹10,000 is payable, which will be adjusted against the total program fee upon enrolment. The total program fee under the one-time payment option is ₹4,03,300.
Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.
| Date | Time | Batch Type | |
|---|---|---|---|
| Bridge Course | 19th Sep 2026 | 10:00 AM IST | Weekend (Sat-Sun) |
There is no requirement for a GATE score for this executive Machine Learning M.Tech (Executive) degree program. If you have a valid GATE score, please share it at the time of the admission process.
The fee for this M.Tech (Executive) in Computer Science and Engineering online program is ₹ 2,18,000/year.
The admission process consists of the following steps:
The duration of this M.Tech (Executive) program is 2 years.
The pay for an M.Tech (Executive) in Computer Science and Engineering graduate can change a lot depending on where they work, how long they’ve been working, and the company they work for. The average salary that one can earn in this field is between 6 LPA to 13 LPA in India.
The M.Tech (Executive) in Computer Science and Engineering degree will be awarded to the candidates upon the program completion. Convocation will be held at the NIT Raipur campus.
Candidates need to devote approximately 8-12 hrs per week to effectively learn the concepts taught in the live sessions conducted by NIT Raipur faculty and industry experts.
Computer Science and Engineering are growing fast, used in many ways, creating cool job chances, and helping solve big, real problems across businesses. They can be used in various industries, from healthcare and finance to self-driving cars and language translation.
Yes, certainly, M.Tech (Executive) in Computer Science and Engineering is a degree awarded by NIT Raipur. All degrees awarded by NIT Raipur are recognized by AICTE and UGC. Hence, this degree too is recognized.
You need to produce your transcripts of 10th, 12th, and your degree certificate along with an Aadhar card, for verification of your documents.
Yes, you can apply to this program and can easily pick the skills provided. Python and SQL bootcamp by Intellipaat will help non-IT candidates to pick up the coding skills quickly. Programming will be taught as part of this program. If you are good at basic mathematics, that would be an add-on for your learning.
The mid-term exams will be conducted online, whereas the end-semester examination will be conducted in physical mode at the prescribed centres. Exam schedules will be communicated to the students well in advance.
The specialization deals with the latest advancements in cloud technology, DevOps methodologies, blockchain creation, smart contracts, and distributed systems.
Yes, you will get an opportunity to apply your knowledge through practical hands-on tasks, cloud deployment scenarios, and blockchain application developments.
No, the program is designed to help learners gradually build expertise in blockchain concepts, decentralized systems, and smart contract development.
You will get exposed to cloud computing basics, containers, cloud infrastructure orchestration, automation, and cloud native development principles.
Learners can explore opportunities such as Cloud Engineer, DevOps Engineer, Cloud Architect, Blockchain Developer, and Infrastructure Engineer.
What is included in this course?
