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B.Tech CSE (AI & ML) Admissions 2026: Syllabus, Eligibility & Career Scope | MIT Vishwaprayag University
Entrance exam on 14th June 2026  |  Last date to apply – 15th June 2026 Apply now →
School of Computing

B.Tech CSE — Artificial
Intelligence & Machine Learning

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About the Program

The B.Tech CSE (Artificial Intelligence & Machine Learning) at MIT Vishwaprayag University is a premier 4-year engineering program that trains students to design, build, and deploy intelligent systems. This program goes beyond general computer science — it immerses students in the science and engineering of machine intelligence from Year 1, covering foundational mathematics through advanced deep learning, NLP, computer vision, and autonomous systems.

The curriculum is built on a blend of strong theory and intensive hands-on practice. Students work with industry-standard frameworks — PyTorch, TensorFlow, Scikit-learn, Hugging Face, OpenCV — building AI solutions across healthcare, finance, robotics, and language technology. Mini, Minor, Major, and Capstone Projects give students real portfolio experience, and a mandatory industry internship bridges campus to career in India's booming AI sector.

MIT Vishwaprayag University's B.Tech CSE (AI & ML) graduates are in high demand at AI-first companies, research labs, IT giants, and innovative startups. The program is aligned to India's National AI Mission and the global $500B AI industry — positioning every graduate to thrive as an AI/ML Engineer, Data Scientist, NLP Researcher, or Computer Vision Engineer.

Be an Intelligence Builder

At MIT Vishwaprayag University, the "Bahumukhi" philosophy shapes every B.Tech CSE (AI & ML) graduate into a multi-dimensional intelligence engineer — someone who can think like a mathematician, code like an engineer, reason like a scientist, and create like an innovator. An AI/ML engineer from MIT VPU is not just a model trainer — they are a problem-solver who turns data into insight, insight into action, and action into real-world impact.

We envision our AI & ML graduates as builders of the next generation of intelligent systems — from healthcare diagnostics and autonomous vehicles to conversational AI and predictive analytics. Grounded in AI ethics, data privacy, and responsible deployment practices, our graduates are prepared to lead the global AI industry while contributing to India's National AI Strategy and building transformative AI startups.

Program specialisation

Students may choose from three specializations — each comprising a set of professional electives and a specialization project for 18 credits — shaping a distinctive AI career pathway aligned to the most in-demand roles in the global artificial intelligence and machine learning industry.

Deep Learning & Neural Networks
NLP & Computer Vision
Intelligent Systems & Robotics

Program Objectives

  • Build strong foundations in mathematics, statistics, linear algebra, and programming to understand and implement machine learning and deep learning algorithms from first principles.
  • Develop expertise in supervised, unsupervised, and reinforcement learning; neural network architectures; and deep learning frameworks including TensorFlow and PyTorch.
  • Integrate emerging technologies including Cloud Computing, IoT, Cybersecurity, AI-driven IT Operations, and Blockchain into hands-on, enterprise-relevant projects.
  • Foster AI research thinking, entrepreneurial innovation, and responsible AI development through Project-Based Learning aligned to industry and academic AI practice.
  • Cultivate AI ethics, data privacy principles, model explainability, and responsible deployment practices essential in every AI engineering role.
  • Provide industry exposure through structured AI internships, Kaggle competitions, hackathons, and collaboration with leading AI companies and research institutions.
  • Prepare graduates for high-demand AI careers as Machine Learning Engineers, Data Scientists, NLP Researchers, Computer Vision Engineers, AI Product Managers, and Research Scientists.

Program Highlights

Hands-on AI/ML labs with PyTorch, TensorFlow, Scikit-learn, and Hugging Face from Year 1

Dedicated NLP, Computer Vision, and Generative AI modules with real-world projects

Industry-aligned AI curriculum reviewed annually by Board of Studies with AI industry leaders

Mini, Minor, Major & Capstone AI Projects solving real problems in healthcare, finance, and language

Mandatory AI/ML internship at companies, research labs, and data science teams

160 credits integrating ML, deep learning, NLP, computer vision, and intelligent systems

AI Ethics, Responsible AI, and MLOps modules for production-grade AI deployment

Specializations aligned to the $500B global AI industry and India's National AI Mission

Course Curriculum

Semester 01

Engineering Mathematics I
Problem Solving using C Programming
C Programming Lab
Computer Organization & Digital Logic
Digital Logic Lab
Design Thinking for Sustainability
Health & Well-Being

Semester 02

Engineering Mathematics II
Data Structures using Python
Data Structures Lab
Web Technologies Fundamentals
Web Technologies Lab
Applied Mathematics for IT
AI for All

Semester 03

Database Management Systems
DBMS Lab
Object-Oriented Programming using Java
Java Lab
Operating Systems
Probability & Statistics for IT
Technical Communication

Semester 04

Computer Networks
Computer Networks Lab
Software Engineering
Introduction to Cloud Computing
Cloud Lab (AWS/Azure Fundamentals)
IT Service Management (ITIL Basics)
Mini Project

Semester 05

Network Security & Cryptography
Advanced Cloud Architecture
Advanced Cloud Lab
Data Analytics & Business Intelligence
Discipline Specific Elective – DSE 1
Open Elective I
Minor Project

Semester 06

DevOps & Containerization (Docker/Kubernetes)
DevOps Lab
Internet of Things (IoT)
IoT Lab
Discipline Specific Elective – DSE 2
Open Elective II
Major Project

Semester 07

Enterprise Systems Integration & ERP
IT Risk Management & Governance
Discipline Specific Elective – DSE 3
Discipline Specific Elective – DSE 4
Open Elective III
Capstone Project I
University Core V & VI

Semester 08

Capstone Project II
Internship
Open Elective IV
University Core VII
University Core VIII

Eligibility

Academic Criteria

  • Passed 10+2 (HSC) with Physics, Chemistry & Mathematics as compulsory subjects
  • Minimum 50% aggregate marks (45% for reserved categories)
  • Students from Science stream with PCM background preferred

Entrance Exams

  • JEE Main (National Level)
  • MHT-CET (Maharashtra State)
  • PERA-CET or equivalent approved exam

Admission Process

  • Apply online at application.mitvpu.ac.in
  • Submit entrance exam scorecard and academic documents
  • Pay application fee of ₹1,000 online

Documents Required

  • Class 10 & 12 Marksheets and Passing Certificate
  • Valid Entrance Exam Scorecard
  • School Leaving / Transfer Certificate
  • Aadhaar Card and Caste Certificate (if applicable)

Program Outcomes (POs & PSOs)

PO1
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.  
PO2
Problem analysis
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3
Design/Development of Solutions
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4
Conduct investigations of complex problems
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6
The engineer and society
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7
Environment & Sustainability
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual & Teamwork
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
Communication
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11
Project Management & Finance
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12
Life-long Learning
Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
PSO1
Electronics System Design
Apply electronic system design and programming expertise to solve complex problems related to manufacturing and service operations in ESDM sector.
PSO2
Intelligent System Design
Design intelligent systems by responsibly integrating AI and data analytics with appropriate sensing, control, and actuation strategies.

Career Opportunities

B.Tech IT graduates from MIT Vishwaprayag University are equipped for high-impact careers across India's IT services sector, global cloud providers, financial technology firms, healthcare IT companies, and government digital transformation projects.

Cloud Engineer / Cloud Architect

NLP Engineer

MLOps Engineer / Systems Administrator

DevOps / Site Reliability Engineer

Robotics Engineer / Data Engineer

AI Product Manager / Scrum Master

IoT Solutions Developer

AI Research Scientist / Business Technology Analyst

Ethical Hacker / Penetration Tester

ERP Consultant / Systems Integrator

IT Risk & Compliance Analyst

Technology Entrepreneur / IT Startup Founder

Fees Structure

The fee structure for the B.Tech Information Technology program at MIT Vishwaprayag University is approved by the Fee Fixation Committee as per Maharashtra government norms. Tuition fees are structured on a per-year basis and include development charges and laboratory fees. The exact fee amount may vary each academic year based on official government notification.

Students are encouraged to contact the Admissions Office directly for the most current and confirmed fee details. MIT-Vishwaprayag offers merit-based scholarships — including the Vishwaprayag Merit Scholarship with up to 100% fee waiver for top-ranking entrance exam scorers. Financial assistance and easy payment options are available for eligible candidates.

For detailed fee information and scholarship eligibility criteria, please visit the official admissions portal at www.mitvpu.ac.in/admissions or contact our admissions helpdesk.

Events & Student Life

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Student Testimonials

The B.Tech IT program's emphasis on cloud and DevOps gave me skills that are immediately valuable in the market. Our Year 3 cloud architecture project was almost identical to the infrastructure design challenge I was given during my placement interviews at AWS.

V
Vivek Bhosale

B.Tech IT 2024 Batch · Cloud Associate at Amazon Web Services

The Information Security specialization was rigorous and incredibly relevant. The ethical hacking labs and the CTF competitions prepared me better than any certification course could. My Capstone Project on zero-trust architecture landed me my dream role.

M
Meera Joshi

B.Tech IT 2024 Batch · Security Analyst at Deloitte

What sets MIT-Vishwaprayag's IT program apart is the enterprise focus. We didn't just learn theory — we deployed real cloud environments, configured network systems, and built IoT prototypes. I was contributing to my team's projects from Week 1 of my internship.

K
Kiran Patil

B.Tech IT 2025 Batch · Intern at Microsoft Azure

The IoT specialization at MIT-Vishwaprayag is outstanding. From smart sensor systems to edge computing deployments, the practical exposure was unmatched. I co-founded a smart-agriculture IoT startup in my final semester — something the program's entrepreneurship support made possible.

P
Pranav Kulkarni

B.Tech IT 2024 Batch · Co-Founder, AgriTech Startup

Frequently Asked Questions

What is the duration and credit requirement of the B.Tech CSE (AI & ML) program?
The B.Tech CSE (AI & ML) is a 4-year (8 semester) full-time program with a minimum credit requirement of 160 credits. Maximum duration allowed is 8 years. Specialization electives in Deep Learning, NLP & Computer Vision, or Intelligent Systems & Robotics are undertaken in Years 3 & 4.
What is the difference between B.Tech CSE and B.Tech CSE (AI & ML)?
B.Tech CSE is a broad computer science program covering algorithms, software engineering, and general AI/ML electives. B.Tech CSE (AI & ML) is specialized — with deeper dedicated focus on machine learning, deep learning, NLP, computer vision, reinforcement learning, and intelligent systems from Year 1, preparing graduates specifically for AI research and engineering roles.
What specializations are offered in B.Tech CSE (AI & ML)?
Students choose from three specializations (18 credits each): (1) Deep Learning & Neural Networks — PyTorch, TensorFlow, CNNs, RNNs, GANs; (2) Natural Language Processing & Computer Vision — Transformers, BERT, GPT, OpenCV, YOLO; (3) Intelligent Systems & Robotics — Reinforcement Learning, ROS, Autonomous Systems, Edge AI.
Are there scholarships available for B.Tech CSE (AI & ML) students?
Yes. MIT-Vishwaprayag offers Vishwaprayag Merit Scholarships — Type I (100% fee waiver for top 3%), Type II (50% waiver for top 8%), and Type III (25% waiver for top 12%) — based on entrance exam percentile scores. MHT-CET/JEE scores above the 75th percentile are eligible. Continuation requires maintaining strong academic performance.
What tools and frameworks will I learn in B.Tech CSE (AI & ML)?
Students work hands-on with Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face Transformers, OpenCV, YOLO, Pandas, NumPy, Matplotlib, Jupyter Notebooks, Kaggle, AWS SageMaker, and MLflow — covering the full AI development and deployment pipeline.
What are the placement opportunities for B.Tech CSE (AI & ML) graduates?
AI/ML graduates are placed at Google, Microsoft, Amazon, NVIDIA, Flipkart, Infosys, TCS, Wipro, Accenture, and AI startups. Highest package ₹13.36 LPA, average ₹6 LPA. AI/ML Engineers command ₹8–30 LPA; NLP Engineers ₹9–25 LPA; Data Scientists ₹7–20 LPA.
Is there an internship component in the B.Tech CSE (AI & ML) program?
Yes. A mandatory AI/ML internship (3 credits) is included in Semester 8 at AI companies, research labs, and data science teams. Students also undertake Mini Projects (Sem 4), Minor Projects (Sem 5), Major Projects (Sem 6), and Capstone Projects I & II (Sem 7 & 8) — each building real AI solutions.
Is B.Tech CSE (AI & ML) a good career choice in 2026?
Yes — cloud computing, DevOps, and information security are among India's fastest-growing IT roles in 2026. Cloud architects and security analysts command ₹8–30 LPA starting salaries. India's $250B IT sector and global digital transformation continue to drive strong demand for B.Tech IT graduates.
What are the B.Tech CSE (AI & ML) fees at MIT Vishwaprayag University?
Total B.Tech CSE (AI & ML) fees at MIT VPU range from ₹7,05,000 to ₹8,05,000 for the full 4-year program. Merit scholarships offer up to 100% Year 1 tuition waiver for MHT-CET/JEE Main scores above the 75th percentile. Contact admissions@mitvpu.ac.in for the complete fee structure.