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The M.Sc in Applied AI from NIT Sikkim is designed for learners who want to build a solid foundation in artificial intelligence & Machine Learning. It begins with foundational subjects like mathematics, programming, and data structures, then expands into ML, generative models, and cloud deployment. Delivered online via live weekend classes, it's tailored for working professionals and young graduates who want to stay consistent with their learning without pausing their Job commitments.
Learning Format
Fully Online
Duration
2 Years
M.Sc from
NIT Sikkim
Alumni Status of
NIT Sikkim
Career Services by
IntelliPaat
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Learn to develop, train, and deploy intelligent systems through a structured, project-based curriculum & taught by experienced NIT Sikkim faculty & Industry experts over live weekend sessions. This is a career-oriented degree program designed for learners ready to go beyond the basics and apply AI in real-world contexts.
About NIT Sikkim
NIT Sikkim is the latest addition to the nationally recognised NIT group of institutions, known for rigorous academic excellence and technical depth. It offers top-ranked degree programs in engineering, architecture, and applied sciences, with a strong focus on research and innovation.
Key Achievements of NIT Sikkim:
Upon the completion of the program, you will:
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55% Average Salary Hike
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12000+ Career Transitions
3100+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Design, train, and optimize ML models for tasks like classification, prediction, and recommendation across domains.
Explore new architectures and techniques in deep learning, generative models, and symbolic AI for advanced applications.
Extract insights from structured and unstructured data using statistical models, ML pipelines, and visualization tools.
Develop vision-based systems for object detection, facial recognition, and real-time video analysis.
Build language models, chatbots, and text analysis systems using advanced techniques in natural language processing.
Work on cutting-edge models for content creation, from text and image generation to speech synthesis and code assistants.
Create systems that analyze, transcribe, and interpret human speech for virtual assistants and voice interfaces.
Bridge AI capabilities with product needs by designing features, evaluating models, and working across data and business teams.
Take AI models from prototype to production using tools like Docker, Kubernetes, and cloud services.
Skills You’ll Master
Machine Learning
Deep Learning
Data Structures
Signal Processing
Pattern Recognition
Generative Models
Natural Language
Speech Processing
Model Deployment
Cloud Integration
AI Ethics
Project Management
Presentation Skills
Research Writing
Problem Solving
Tools You’ll Work With
Hemant Kumar Kathania works in speech and signal processing, focusing on children’s speech recognition. At NIT Sikkim since 2013, his research connects theory with practical impact, advancing technologies that make everyday communication clearer and more inclusive.
Dr. Jeetendra Singh explores semiconductor devices, VLSI design, and biosensors. His research on nanoscale modeling and sensor technologies helps students understand how tiny circuits drive innovations in healthcare, security, and computing.
Dr. Sanjay Kumar Jana works on semiconductor devices, focusing on high electron mobility transistors and LEDs on silicon. His expertise connects advanced material research with practical learning in modern electronics.
Dr. Reshmi Dhara specializes in antennas and microwave systems. Her research on circularly polarized and multi-band designs supports her teaching, where she makes wireless communication approachable for students.
Dr. Vishal Vishnoi specializes in process control, system modeling, and soft computing. His research focuses on intelligent controllers and optimization techniques, contributing to advancements in control systems and engineering applications.
Dr. Varun Gupta specializes in biomedical signal processing, pattern recognition, and digital signal processing. His research advances ECG and EEG analysis, supporting healthcare technologies and intelligent medical systems.
Students can pick up any one specialization track. Academic advisors will guide the final elective selection and may be revised in response to program updates.
Admission Details
The admission process is simple and structured in three clear steps. Candidates will be selected based on the results of a written test. Those who qualify will receive an admission offer letter via email and phone, and can confirm their seat for the next cohort by paying the admission fee.
Submit Application
Tell us a little about your background, your interests, and what draws you to this MSc program in applied AI.
Written Test
An online test will be conducted to assess your aptitude and alignment with the chosen specialisation.
Result Declaration
Selections will be made based on performance, and shortlisted candidates will receive their admission offer letter.
Total Admission Fee
A non-refundable registration fee of ₹10,000 is payable, which will be adjusted against the total program fee upon enrolment.
Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.
| Date | Time | Batch Type | |
|---|---|---|---|
| Program Induction | 1st Nov 2025 | 08:00 AM - 02:00 PM IST | Weekend (Sat-Sun) |
Candidates with bachelors in any discipline with mathematics in 10+2 or in graduation.
If you have not studied Mathematics at the 10+2 level then you must clear an additional Mathematics course during the first year of the M.Sc. program.
Based on the eligibility criteria set for the program, shortlisting will be done. Apply online and upload your documents. If shortlisted, you will be notified.
Yes. Classes are scheduled on weekends, and recordings are provided, making it easy to manage alongside your job or other commitments.
Yes. You’ll receive an M.Sc in Applied AI from NIT Sikkim, a centrally funded technical institute under the Government of India.
Rather than fixed tracks, you can choose electives across domains like NLP, Computer Vision, Generative AI, and more.
Very. You’ll work on real-world AI projects, complete case studies, build models, and deploy solutions using cloud platforms.
Courses are delivered live by NIT faculty and AI professionals. You’ll have access to forums, recorded content, and regular doubt-solving sessions.
Yes. This is a recognised postgraduate degree from an NIT and qualifies you to apply for PhD programs in India & Abroad.
What is included in this course?