SRM Sikkim Online MCA in AI and Generative AI
Course Overview
SRM Sikkim offers a strong 2-year online MCA in AI and Generative AI, built for IT grads who want top frontier AI careers.
Students gain LLM and GenAI skills, and learn ML, NLP, agentic systems, and AI deployment tools each term.
Students build strong GenAI model and deployment skills, and sharpen their LLM and AI work every week.
Graduates win top GenAI Engineer and AI Dev roles, and top tech and AI product firms hire SRM Sikkim grads with great pay.
Accreditations
UGC-Recognised | SRM University, Sikkim | AICTE-Approved Online Program. The SRM Sikkim MCA in AI and Generative AI is one of India's most forward-looking postgraduate IT degrees — covering LLMs, prompt engineering, and GenAI application development for next-generation tech roles.
NAAC A+
ISO
NIRF
AICTE
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- SRM Sikkim holds UGC-DEB nod, and this SRM Sikkim University online MCA in AI and generative AI meets all national study rules.
- Tech and AI product firms trust SRM Sikkim, and they accept the MCA in AI and generative AI online srm sikkim university with great faith.
- The SRM Sikkim University online MCA in AI and generative AI syllabus covers LLMs, GenAI tools, ML, NLP, and agentic systems, and live labs make each class real.
- A tech degree gets students into the SRM Sikkim University online MCA in AI and generative AI course eligibility rules, and no exam holds them back.
- The SRM Sikkim University online MCA in AI and generative AI admission process is fast and fully online.
- Students build a strong GenAI product and an AI deployment capstone, and this final work proves true frontier AI skills.
Course Benefits
SRM Sikkim offers this UGC-DEB MCA in AI and Generative AI, and its 2-year plan suits all IT grads who want top AI careers.
Students master LLMs, GenAI tools, ML, and NLP skills, and real AI labs each term build true frontier AI work skills fast.
SRM Sikkim links students to top tech and AI product firms, and GenAI Engineer and AI Dev jobs open up wide.
Low fees and EMI plans help students join, and a tech degree is all they need to start today.
Course Fees
The fee structure for this SRM Sikkim Online MCA in AI and Generative AI is designed to be affordable and flexible for both freshers and working professionals
Total 4 semester
INR 25,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,00,000
*Inclusive of all taxes
EMI starting at
INR 4,167 / Month
*Terms & Conditions apply
Eligibility
- »
A Bachelor Degree in Computer Science Engineering / BCA or equivalent Degree, with at least 50% marks or equivalent CGPA for the General category (45% marks for candidates belonging to the SC/ST category)
Any Graduation with Mathematics / Business Mathematics / Statistics as one of the subjects at 10+2 Level or at Graduation Level (or with additional bridge Courses as per the norms of the University)
Who Can Apply ?
• BCA, B.Sc (IT/CS/Maths), B.Tech, or equivalent with 50% marks from a recognised university can apply with no entrance exam.
• Working developers, ML engineers, and IT professionals wanting to specialise in GenAI and LLM engineering will benefit most.
• Apply at the SRM Sikkim portal — merit-based, open enrollment.
Course Syllabus
Semester 1
.
Basic Mathematics
.
Fundamentals of Computer
.
Programming in Java
.
Operating System
.
Database Technology
.
Computer Networks
.
Operating System and Database Technology
Semester 2
.
Python Programming
.
Advanced Data Structure and Algorithms
.
Advanced Web Application Development
.
Optimization Techniques
Semester 3
.
Artificial Intelligence and Machine Learning
.
IT Infrastructure Management
.
Natural Language Processing
.
Introduction to Generative AI
.
Mini Project
Semester 4
.
Large Language Models and Applications
.
GenAI Application Development
.
Project Work
Job Roles
Connect with our expert counsellors to get personalized guidance tailored to your unique career journey. Whether you're exploring new opportunities or planning your next big step, our team is here to support you at every stage with clarity and confidence.
Get one-on-one guidance based on your academic background and experience
Discover programs aligned with your career goals and future aspirations
Receive insights on industry trends, job roles, and growth opportunities
| Job Roles | Average Salary | Key Skills | Age Group |
|---|---|---|---|
| Junior AI Engineer, GenAI Developer, ML Associate | ₹8 LPA | Python, PyTorch, LLM Prompting | 22 |
| AI Engineer, GenAI Product Developer, ML Engineer | ₹15 LPA | LLM Fine-tuning, RAG Architecture, Deep Learning | 25 |
Top Recruiters
Students pursuing the SRM Sikkim University Other PG Courses in AI & ML can explore career opportunities with companies such as Google, Microsoft, Amazon, and NVIDIA.
Explore Other Specializations from SRM Sikkim University
FAQs
What is SRM Sikkim online MCA programs in AI and generative AI?
SRM Sikkim offers a 2-year online MCA in AI and Generative AI. The program targets IT graduates seeking frontier AI careers. It covers LLMs, machine learning, NLP, and agentic systems. The course is UGC-entitled and AICTE-approved.
What is the eligibility criteria for online Master of Computer Applications in generative AI at SRM Sikkim?
SRM Sikkim requires a bachelor's degree in Computer Science, BCA, or equivalent. Candidates need 50% marks, or 45% for SC/ST category. Applicants need Mathematics or Statistics at 10+2 or graduation level. Non-CS students can join through bridge courses.
What is the application process for online MCA in AI master's programs at SRM Sikkim?
SRM Sikkim follows a merit-based, fully online application process. There is no entrance exam required for admission. Students apply directly through the SRM Sikkim portal. CourseConnect assists with document verification and counseling support.
What are the career prospects after an online MCA focused on AI and generative AI at SRM Sikkim?
SRM Sikkim graduates can work as Generative AI Developers or AI Researchers. Other roles include NLP Specialist and Junior AI Engineer. Entry-level roles pay around ₹8 LPA on average. Mid-level roles like AI Engineer pay around ₹15 LPA. Top recruiters include Google, Microsoft, Amazon, and NVIDIA.
What are the key skills taught in online MCA courses focusing on generative AI at SRM Sikkim?
SRM Sikkim teaches Python, PyTorch, and LLM prompting skills. Students also learn LLM fine-tuning and RAG architecture techniques. The curriculum covers deep learning and machine learning fundamentals. Natural language processing and GenAI application development are core topics.
What are the admission requirements for online MCA in AI and generative AI for students at SRM Sikkim?
SRM Sikkim admits BCA, B.Sc, and B.Tech graduates with 50% marks. Candidates must come from a recognized university. No entrance exam is needed for enrollment. Working IT professionals can also apply directly.
. How flexible are the online MCA programs in AI and generative AI for working professionals at SRM Sikkim?
SRM Sikkim designs this program for working developers and ML engineers. The course runs fully online across four semesters. Fees are ₹25,000 per semester, totaling ₹1,00,000. EMI options start at ₹4,167 per month.
What programming languages are taught in online MCA generative AI master's courses at SRM Sikkim?
SRM Sikkim teaches Java programming in the first semester. Python programming is introduced in the second semester. These languages support later work in machine learning and AI. Advanced data structures and algorithms build on this foundation.
What practical projects are included in the SRM Sikkim Online MCA in AI and Generative AI?
SRM Sikkim includes a mini project in the third semester. A major project runs through the fourth semester. Students build a GenAI product as part of their capstone. This work applies LLM and AI deployment skills learned earlier.
What assessment methods are followed in the SRM Sikkim Online MCA in AI and Generative AI?
SRM Sikkim evaluates students through semester-based coursework across four terms. Live labs support the LLM and GenAI curriculum. A mini project assesses skills in semester three. A final project and capstone assess overall competency in semester four.