Complete Guide for Nepali Students: Study B.Tech CSE in AI & ML in India

Complete Guide for Nepali Students: Study B.Tech CSE in AI & ML in India

Introduction

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries globally, and India is no exception. With the increasing demand for AI-powered solutions across healthcare, finance, e-commerce, robotics, and more, pursuing a B.Tech in Computer Science and Engineering (CSE) with specialization in AI & ML has become a top choice for students. For Nepali students, India offers a unique advantage with cultural familiarity, affordable education, and globally recognized universities. This guide provides everything you need to know – from eligibility and admission to scholarships, costs, career opportunities, and FAQs.

course of the week cse ai-ml

Why Choose B.Tech CSE in AI & ML?

  • High-demand career: AI & ML professionals are among the most sought-after worldwide.
  • Future-focused specialization: Prepares students for cutting-edge technologies.
  • Global opportunities: Skills are transferable across industries and countries.
  • Lucrative salaries: Top companies offer competitive pay.
  • Innovation-driven learning: Encourages research, creativity, and problem-solving.

Why Study in India as a Nepali Student?

No visa requirement: Thanks to the Indo-Nepal Treaty of Peace and Friendship, Nepali students don’t need a visa to study in India.

Affordable education: Annual tuition typically ranges from ₹1.5 lakh (NITs) to ₹6 lakh (private institutions), which is significantly lower than Western countries.

Cultural & linguistic familiarity: Easier adjustment compared to other countries.

l High demand: India’s booming IT and AI industry opens direct pathways to jobs.

Course Duration

4 years (8 semesters)

Combination of core Computer Science subjects + AI/ML specialization modules

Eligibility Criteria

Education: 10+2 with Physics, Chemistry, and Mathematics (PCM)

Marks Required: 50–60% aggregate (varies by university)

Entrance Exams: JEE Main, JEE Advanced, state-level CETs, DASA (for international/NRI), or direct university-specific exams

Admission Pathway

IITs, NITs, IIITs → Through JEE Main & JEE Advanced (JoSAA counselling).

DASA Scheme → Direct Admission of Students Abroad (SAT-based admission route for NITs, IIITs).

Private Universities (e.g., VIT, SRM, Manipal) → Direct applications under the foreign/NRI category.

Application Process for Nepali Students

  1. Research and shortlist universities with AI & ML programs.
  2. Check eligibility and application deadlines (usually March–June).
  3. Prepare documents: +2 transcripts, SEE certificate, citizenship/passport, migration certificate, recommendation letters, SOP, passport-size photos.
  4. Apply via entrance exams, DASA portal, or directly on university websites.
  5. Confirm admission, receive offer letter, and complete enrollment.

Course Structure

Core Subjects

Data Structures & Algorithms

Computer Networks

Database Management Systems

Operating Systems

Software Engineering

Specialization Subject

Introduction to Artificial Intelligence

Machine Learning Fundamentals

Deep Learning & Neural Networks

Natural Language Processing (NLP)

Computer Vision

Big Data Analytics

Robotics & Intelligent Systems

Practical Learning

Lab sessions & projects

Industry internships

Capstone projects

Top Colleges in India for B.Tech CSE (AI & ML)

Indian Institutes of Technology (IITs) – select campuses

National Institutes of Technology (NITs)

Manav Rachna Educational  Institutions

Vellore Institute of Technology (VIT)

SRM Institute of Science & Technology

Amity University

Christ University, Bangalore

Scholarships for Nepali Students

ICCR Scholarships – covers tuition, accommodation, and stipend.

SAARC Scholarships – tuition fee waivers in select universities.

University Merit Scholarships – offered by private universities like VIT, SRM.

Indian Government Scholarships:

Golden Jubilee Scholarship (approx. NPR 4,000/month for undergraduates)

ABVGSS (up to NPR 25,000/year based on merit)

Silver Jubilee, Homi J. Bhabha, Nepal Aid Fund (varies by level)

Cost of Living in India (Approx.)

Tuition: ₹1.5–6 lakh per year (NPR 2.4–9.6 lakh)

Accommodation: ₹10,000–20,000/month

Food: ₹5,000–8,000/month

Transport & Miscellaneous: ₹5,000–8,000/month

Total Yearly Cost: Approx. NPR 4.2–8.5 lakh

Note: Several universities offer generous scholarships to Nepali students, helping reduce overall expenses by more than 50%.

Career Opportunities

Job Roles:

Machine Learning Engineer

Data Scientist

AI Engineer

NLP Engineer

Computer Vision Engineer

Robotics Engineer

Research Scientist

Top Recruiters:

Google, Microsoft, Amazon, IBM

Infosys, TCS, Wipro, HCL

AI-driven startups & research labs

Salary Range:

Freshers: ₹6–12 LPA

Experienced: ₹20+ LPA

Higher Studies & Global Scope

M.Tech in AI/ML or Data Science (via GATE)

MS abroad in AI/ML or Data Science

PhD & research opportunities

MBA for management-oriented careers

FAQs for Nepali Students

Q1. Do Nepali students need a visa to study in India?
No, a visa is not required, but long-term students must register with FRRO after arrival.

Q2. What are the admission routes?
JEE (for IITs/NITs), DASA (SAT-based), or direct private university admissions.

Q3. What scholarships can I apply for?
ICCR, SAARC, merit scholarships, and Indian Government schemes like Golden Jubilee and ABVGSS.

Q4. How much does studying cost annually?
Approx. NPR 4.2–8.5 lakh, including tuition and living expenses.

Q5. When should I apply?
Applications usually open March–June. Scholarship deadlines vary, so apply early.

Q6. Is strong mathematics required?
Yes, mathematics (linear algebra, statistics, probability, calculus) is essential for AI/ML.

Q7. Is coding mandatory?
Yes, proficiency in Python, C++, Java, and R is crucial.

Summary Table

Screenshot 2025-08-18 114452

For Nepali students, India offers an accessible, affordable, and high-quality pathway to study B.Tech CSE with specialization in AI & ML. With world-class universities, ample scholarships, and no visa barriers, it’s one of the most promising options for building a global career in Artificial Intelligence and Machine Learning.

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