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M.Sc. in Applied Artificial Intelligence

2,384 Ratings

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.

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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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About the M.Sc in Applied AI by NIT Sikkim

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.

Key Highlights

One-month bridge course to build essential foundational skills
in Python Programming and Mathematics for Data Science
Explore advanced topics like deep learning, generative AI, and cloud deployment
Choose from electives to build your specialization
Work on Projects that matters to employers
Guided Minor and Major Projects by Industry experts
Career Services by Intellipaat

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.

  • Institute of National Importance.
  • Collaborates with DRDO, ISRO, and MeitY on real-world tech and innovation projects

Upon the completion of the program, you will:

  • Receive an M.Sc degree in Applied AI Sikkim
  • Alumni Status of NIT Sikkim

Career Transition

55% Average Salary Hike

60 LPA Highest Package received by Learner

12000+ Career Transitions

3100+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who Can Apply for This M.Sc. in Applied AI?

  • A bachelors degree in any discipline – B.Sc, B.Com and others
  • Mathematics as a subject in 10+2 or either in graduation. Candidates who did not study Mathematics at the 10+2 level must clear an additional Mathematics course during the first year of the M.Sc. program.
  • Professionals looking to grow their career with a Master’s in AI and ML.
  • Young graduates & Professionals looking to grow their career with a Master’s in AI and ML.
who can apply

Your Next Switch Starts Here. Step into roles like:

Machine Learning Engineer

Design, train, and optimize ML models for tasks like classification, prediction, and recommendation across domains.

AI Research Associate

Explore new architectures and techniques in deep learning, generative models, and symbolic AI for advanced applications.

Data Scientist

Extract insights from structured and unstructured data using statistical models, ML pipelines, and visualization tools.

Computer Vision Engineer

Develop vision-based systems for object detection, facial recognition, and real-time video analysis.

NLP Engineer

Build language models, chatbots, and text analysis systems using advanced techniques in natural language processing.

Generative AI Developer

Work on cutting-edge models for content creation, from text and image generation to speech synthesis and code assistants.

Speech Processing Engineer

Create systems that analyze, transcribe, and interpret human speech for virtual assistants and voice interfaces.

AI Product Analyst

Bridge AI capabilities with product needs by designing features, evaluating models, and working across data and business teams.

AI Deployment Engineer

Take AI models from prototype to production using tools like Docker, Kubernetes, and cloud services.

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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

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Tools You’ll Work With

python TensorFlow PyTorch Langchain HuggingFace docker kubernetes jupyter 3 github PostgreSQL

Curriculum

Live Course
  • Foundational Mathematics
  • Python Programming Foundations
  • Data Structures and Algorithms
  • AI / Applied Signal Processing
  • Machine Learning
  • Communication & Presentation Skills
  • Pattern Recognition
  • Advanced Data Structures
  • Generative AI
  • Speech Processing
  • Specialisation 1
  • Minor Project
  • Major Project – Phase 1
  • Deep Learning
  • Specialisation 2
  • Seminar
  • Professional Moral & Ethics
  • Major Project – Phase 2
  • Deploying Models on Cloud
  • Seminar
  • Leadership & Management

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.

  • Natural Language Processing
  • Embedded and IoT
  • Applied Signal Processing
  • LangChain
  • Big Data Analytics
  • Automatic Speech Recognition
  • Computer Vision
  • Data Visualization
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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

Two-year online MSc in Applied AI from NIT Sikkim
Live sessions by experienced NIT faculty and industry experts
Built around tools and technologies used in AI systems
Career support and 24/7 tech assistance from Intellipaat

Our Alumni Works At

Hiring Partners

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 via email and phone, and can confirm their seat for the next cohort by paying the admission fee.

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Submit Application

Tell us a little about your background, your interests, and what draws you to this MSc program in applied AI.

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Written Test

An online test will be conducted to assess your aptitude and alignment with the chosen specialisation.

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Result Declaration

Selections will be made based on performance, and shortlisted candidates will receive their admission offer.

Program Fee

Total Admission Fee

₹ 2,00,000 / Year

One Time Registration Fee will be 10,000 INR
Educational loan available from leading banks

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Upcoming Application Deadline 9th Aug 2025

Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 9th Aug 2025 08:00 AM - 02:00 PM IST Weekend (Sat-Sun)
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Frequently Asked Questions

Who is eligible to apply?

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.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work