B.Tech in Computer Science & Engineering: Artificial Intelligence & Machine Learning
4 Year UG Degree Programme
Learn about Building Intelligent Systems Through C, Java & Python, Design/Manage Databases and Networks, Explore AI & ML and more
70% Practical Curriculum
Up to 12 months of paid On-the-Job Learning (OJL)
100% Placement Assistance
Admission Open For 2026
Ranked 4th among Top Skill Universities in India by Outlook
Emerging University of the Year by Financial Express
Best University in India for Industry Interface by CEGR
About The Programme
The B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) at Medhavi Skills University is not just about codes and concepts. MSU’s well-structured computer science engineering syllabus bridges the gap between academic learning and real-world innovation, preparing students to thrive in the ever-evolving field of technology.
In the coming years, the demand for AI-driven solutions is expected to reshape industries worldwide. The goal of the School of Computer Science & Engineering AI & ML programme is to equip students with the knowledge and hands-on skills required to design intelligent systems, develop cutting-edge algorithms, and lead in the global digital transformation era.
Our Offering
We offer a UGC-approved, 4-year full-time undergraduate B.Tech in CSE: Artificial Intelligence and Machine Learning at Medhavi Skills University, Sikkim. The industry-focused degree builds practical AI & ML and coding skills to prepare students for innovative and dynamic tech careers.
Key Areas of Learning:
Why Study B.Tech in Computer Science Engineering: AI & ML at MSU?
This B.Tech Degree in Computer Science Engineering aligns with industry trends, offering a comprehensive curriculum that balances theoretical knowledge with practical experience
As per India Today, enrolment in B.Tech programmes hit an eight-year high in the 2025-26 academic session
Computer science & engineering topped the list of programmes with the highest enrolment (3,90,245)
MSU Advantages
Your edge at Medhavi Skills University, where real-world learning, industry exposure, and future-ready skills come together
- Only university in Sikkim aligned with paid On-the-Job Learning embedded curriculum for practical learning
- Only university in Sikkim to ensure 100% of student applicants receive government scholarships
- In-house state-of-the-art computer labs, digital classrooms, co-learning spaces and more
Highlights from The Programme:
Programme aligned with NEP 2020, focused on Learning Outcome Based Education
70% practical based curriculum
Industry-aligned curriculum & hands-on learning
Learn from experienced software developers, industry professionals and technology innovators
Immersive industry exposure through industry visits, guest lectures and networking opportunities
Opportunity to ‘learn and earn’ through immersive on-the-job learning, industry projects, and internships with leading companies
Engage with industry experts to get invaluable insights and real-world perspectives
Start Your Journey With B.Tech Computer Science Engineering for Future-Ready Skills and Real-World Projects
Apply NowAdditional Skills Certifications
At Medhavi Skills University, students gain opportunities for Skill Certifications from leading AI and cloud organisations such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer, IBM AI Engineering Professional, and Google Professional ML Engineer. These certifications, earned alongside the degree, enhance credibility, strengthen industry relevance, and prepare students for employment with nationally and globally recognised credentials.
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Do-Experience-Learn
Discover the advantage of MSU's cutting-edge infrastructure, featuring modern laboratories, classrooms, and industry-relevant facilities
Eligibility
The B.Tech course eligibility criteria is 12th Pass (With Physics, Chemistry & Mathematics). In the case of Higher Secondary School Certificate or State Boards, CBSE and ICSE, 50% marks in 12th standard with English, as one of the subjects is the minimum requirement.Curriculum Structure
Step into a future-focused learning environment with industry-oriented programmes designed to build practical skills, real-world readiness, and broad career opportunities across disciplines
Lay the foundations of engineering thinking
This semester marks the start of your engineering journey. You will build strong foundations in mathematics, science, and computational thinking while learning how engineers approach real-world problems. Through hands-on learning and design thinking fundamentals, you’ll develop logical reasoning, creativity, and problem-solving skills. By the end of the semester, you’ll be equipped with the core tools and mindset needed to explore engineering concepts.
Key Subjects
Learning Outcomes
Career Prospects
Join this B.Tech in Artificial Intelligence & Machine Learning course and embark on a rewarding career journey in the heart of the tech industry
Our Industry Partners
We collaborate with leading organisations across sectors to support practical learning, industry exposure, and career readiness for our students
Steps to Follow for Application
Take the first step towards a rewarding career
Register Yourself
Verify Email
Fill The Form
Pay Application Fee
Submit Application
Step into a B.Tech in Computer Science & Engineering that blends real-world experience with future-ready skills.
Apply NowFrequently Asked Questions
Find quick answers to the most common questions about our programme
01What does this B.Tech in Computer Science & Engineering: Artificial Intelligence & Machine Learning cover?+
The B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) covers core computing, data structures, algorithms, machine learning, deep learning, data analytics, natural language processing, MLOps, and AI applications through hands-on projects, research, and industry immersion.
02What subjects are covered in B.Tech AI and Machine Learning?
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The programme includes subjects like programming, data structures, artificial intelligence, machine learning, deep learning, big data analytics, natural language processing, computer vision, cloud computing and MLOps.
03How is B.Tech in AI and ML different from Computer Science Engineering (CSE)?
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While a traditional B.Tech Computer Science & Engineering degree focuses broadly on computing, the AI & ML specialisation dives deeper into intelligent systems, automation, data modelling and advanced analytics.
04Does B.Tech AI and ML include practical training?
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Yes, the programme emphasises hands-on learning through on-the-job learning, live projects, labs, internships and industry immersion, ensuring practical exposure alongside theoretical knowledge.
05What skills are required for AI and ML careers?
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Key skills include programming, problem-solving, data analysis, critical thinking and an understanding of machine learning frameworks.
06What job roles can you expect after completing B.Tech Computer Science & Engineering?
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After completing this CSE course, graduates can explore roles such as Machine Learning Engineer, Data Scientist, AI Engineer, Deep Learning Specialist, NLP Engineer, Computer Vision Engineer, MLOps Engineer and AI Product Manager across diverse industries.
07What is the scope of AI and Machine Learning in India?
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AI and ML have a rapidly growing scope in India across sectors like healthcare, finance, e-commerce, manufacturing and cybersecurity, creating strong demand for skilled professionals.
08What is the duration of this programme?
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The duration of the B.Tech Computer Science & Engineering (AI & ML) programme is 4 years.
09What is the eligibility criteria to enroll in this B.Tech Computer Science & Engineering?
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The eligibility for this CSE course is 12th pass (with Physics, Chemistry & Mathematics). For CBSE, ICSE, or State Boards, a minimum of 50% marks with English as a subject is required.
10Is this course UGC recognised?
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Yes, the programme is UGC recognised.
11Can you enroll in this degree of B.Tech in Computer Science & Engineering: Artificial Intelligence & Machine Learning?
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Yes, students can enrol and may also be eligible for an engineering scholarship. For more details, it is recommended to connect with the admissions team.
12What is the admission procedure?
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For detailed information on the admission process, call +91 98748 75876 or visit: https://www.msu.edu.in/admission-process
a Degree and Real-World ExperienceApply Now