B.Tech Computer Science and Engineering (Artificial Intelligence and Data Science)
All relevant tech fields are rapidly evolving, and the MIT-WPU B.Tech in Computer Science and Engineering (Artificial Intelligence & Data Science) programme is designed to prepare you for this dynamic change. This course equips you to address some of the most complex global challenges across industries such as healthcare, finance, curated monitoring, and quality assurance. By learning advanced technologies like big data analytics, deep learning, cognitive computing, and data visualisation, you'll gain the expertise needed to drive data-based decision-making effectively.
The programme offers specialisations in futuristic domains such as AI in Healthcare, Extended Reality, and Computational Intelligence, keeping you ahead in the competitive industry. With hands-on experience through industry internships, expert lectures, and research projects, you'll be prepared to apply your skills in real-world scenarios and excel in the ever-demanding tech market.
- Systems and Edge Computing
- Extended Reality
- Business Analytics
- Computational Intelligence
Last Date to Apply : 20 June 2025
B.Tech Computer Science and Engineering (Artificial Intelligence and Data Science)
| Scholarship for AY 2025-26 | JEE Percentile | MH-CET Percentile |
| Dr. Vishwanath Karad Scholarship (100%) | 97 & Above | 98 & Above |
| MIT-WPU Scholarship I (50%) | 96 & Above | 97 & Above |
| MIT-WPU Scholarship II (25%) | 95 & Above | 96 & Above |
Note: Best of JEE or MHT-CET Score will be considered for availing the scholarship.
*Terms & Conditions apply:
- All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
- To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
The candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025. [*Applicable only for B.Tech Bioengineering programme] conducted by the Competent Authority
AND
Minimum 50% aggregate in PCM or PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics/Biology* & English are Compulsory subjects with Chemistry/Biotechnology* or Technical Vocational Courses in 10+2/Class 12th or equivalent examination [*Applicable only for B.Tech Bioengineering programme] (at least 45% marks, in case of Reserved category candidate belonging to Maharashtra State only).
OR
Minimum 60% marks in Diploma in Engineering & Technology in an appropriate branch from Government approved technical board.
The selection process for B.Tech programmes is based on JEE 2025/ MHT-CET 2025/ PERA 2025/ MHT-CET-B* 2025/ NEET* 2025 score and a Statement of Purpose (500 words) written by the candidate. [*Applicable only for B.Tech Bioengineering programme].
- Innovative Curriculum : The syllabus is always updated to include the latest of emergent modern technologies such as Artificial Intelligence, Machine Learning and Data Science
- World Class Laboratories : Get hands-on experience using NVIDIA RTX A6000 GPUs, AIoT SerBot Prime X Robots, and other high-end equipment.
- Industry Collaboration : Work at top companies to the likes of TCS, Capgemini, Volkswagen, etc., through internships and research projects.
- Comprehensive Growth : Benefit from vibrant student chapters like the Association for Computing Machinery (ACM) Club, Computer Society of India (CSI) & the Institute of Electrical and Electronics Engineers (IEEE) with exciting activities for both academic and co-curricular advancement.
- National and International Programmes : Get the opportunity to participate in varying levels of immersion programmes that increase your scope.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
I |
UC |
Indian Constitution |
1 |
|
I |
UC |
Environment and Sustainability |
1 |
|
I |
UC |
Yoga - I |
1 |
|
I |
UC |
Social Leadership Development Program |
1 |
|
I |
UC |
Financial Literacy |
1 |
|
I |
PF |
Linear Algebra and Differential Calculus |
3 |
|
I |
PF |
Engineering Physics |
3 |
|
I |
PF |
Basics of Electrical Engineering |
4 |
|
I |
PF |
Engineering Mechanics |
3 |
|
I |
PF |
Programming and Problem Solving |
3 |
|
I |
Program Capstone Project/Seminar and Internships |
Python Programming |
1 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
II |
UC |
Yoga - II |
1 |
|
II |
UC |
Co-creation |
1 |
|
II |
UC |
AI for everyone |
2 |
|
II |
UC |
Foundation of Peace |
2 |
|
II |
UC |
Indian Knowledge System (General) |
2 |
|
II |
UC |
Sports |
1 |
|
II |
PF |
Integral Calculus |
3 |
|
II |
PF |
Basics of Electronics Engineering |
3 |
|
II |
PF |
Digital Electronics |
4 |
|
II |
PF |
Engineering Chemistry |
3 |
|
|
Total Credits |
22 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
|
III |
UC |
Spiritual and Cultural heritage: Indian Experience |
2 |
|
III |
UC |
Research Innovation Design Entrepreneurship (RIDE) |
1 |
|
III |
UE |
University Electives - I |
3 |
|
III |
PF |
Calculus and Numerical Methods |
3 |
|
III |
PF |
Data Structures and Algorithms |
3 |
|
III |
PM |
Electrical Machines |
3 |
|
III |
PM |
Power Systems and Protection |
4 |
|
III |
PF |
Renewable Energy Systems |
3 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
|
IV |
UC |
Rural Immersion |
1 |
|
IV |
University Core |
Life Transformation Skills |
1 |
|
IV |
University Electives |
University Electives - II |
3 |
|
IV |
Program Foundation |
Discrete Mathematics and Basic Statistics |
3 |
|
IV |
Program Major |
Advanced Electrical Machines |
4 |
|
IV |
Program Major |
Analog Circuits and Applications |
3 |
|
IV |
Program Major |
Computer Organizations and Operating Systems |
3 |
|
IV |
Program Major |
Control Systems |
3 |
|
IV |
Program Capstone Project/ Seminar and Internships |
Object Oriented Programming |
1 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
V |
UC |
Managing Conflicts Peacefully: Tools and Techniques |
2 |
|
V |
UE |
University Electives - III |
3 |
|
V |
PE |
Program Elective - I |
4 |
|
V |
PM |
Communication Networks |
3 |
|
V |
PM |
Power Electronics |
4 |
|
V |
PM |
Database Management Systems |
2 |
|
V |
PM |
Microcontrollers and Applications |
3 |
|
V |
PM |
Data Science |
1 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
VI |
UC |
National Academic Immersion Program |
2 |
|
VI |
PE |
Program Elective - II |
4 |
|
VI |
PM |
Robotics and Automation |
3 |
|
VI |
PM |
Electric Vehicle Technology |
4 |
|
VI |
PM |
Artificial Intelligence and Machine Learning |
4 |
|
VI |
PM |
Smart Grid Systems |
4 |
|
VI |
Program Capstone Project/Seminar and Internships |
Power Quality and Smart Metering |
1 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
VII |
PE |
Program Elective - III |
4 |
|
VII |
Program Capstone Project/Seminar and Internships |
Capstone Project |
12 |
|
|
Total |
16 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
VIII |
Program Electives |
Program Elective - IV |
4 |
|
VIII |
Program Capstone Project/Seminar and Internships |
Internship |
13 |
|
|
Total |
17 |
- Leverage the strengths of AI, machine learning, and data science techniques along with deep foundations in computer science and engineering principles to create new solutions for real-world problems.
- Design, Build and implement solutions in AI, ML, and Data Science with societal, environmental, and ethical considerations.
- Make data-informed decisions and gain insights utilising data-driven procedures and tools like Python, R, Tensorflow, etc.
- Research and develop new methodologies to provide solutions to challenges in business or engineering.
100% placement assistance
The core areas in the curriculum are structured to contain a blend of theoretical and application-based studies. You will learn machine learning, data mining, AI algorithms, and deep learning which are core areas of modern AI technologies. The course also covers big data analytics, IoT, Blockchain and AR/VR as special topics where you will have practical exposure in Python programming, etc.
The experiential learning approach is a very important component of this programme, correct? You will learn through practicals like industry internships, workshops, and hands-on projects. These provide a platform to practically implement the theoretical knowledge you gain such that the real-life applications become evident and you are able to automate complex AI and data science problems as per simulation or exercise.
Yes, students can work on industry-oriented projects extensively. Benefit from real-life experience by collaborating with leading companies on current business challenges. You can use these projects to utilise the theoretical part that you have learned in your academic phase into some real-life solutions such as creating a machine learning model, working on big data analytics, and many more IoT solutions.
The programme offers a wide range of potential career opportunities within multiple industries. Some of these include Data Scientist, where you will work on examining complex data, finding trends; Machine Learning Engineer, building effective and intelligent systems, AI Research Scientist to analyse innovative algorithms and solutions for AI or Business Intelligence Developers who are here to help business organisations with a strategic decision-making process using familiar data. Sectors such as IT, finance, healthcare and telecommunications are hiring professionals who are skilled in AI and data science.
Yes, you can go for M. Tech or MS (in niche areas) after completing B. Tech in AI & DS, like, AI, Data Science and Computer Science. Several top universities across the globe provide specialised courses in these fields. Pursuing higher studies will enable you to specialise in either AI or data science and provide suitable avenues for research, development, or academic positions.
It helps analyse huge amounts of data to get some useful insights and patterns.
The advanced curriculum, industry exposure, and a solid connection with industry leaders in AI and Data Science at MIT-WPU prepare you for the high-demand jobs in AI and Data Science.
MIT-WPU provides you with the latest curriculum based on industry requirements in AI, Data Science and Cyber Security, a hands-on learning experience and global exposure to prepare you for a successful career in tech.
When it comes to technology fields such as AI and Data Science, MIT-WPU provides a supportive environment with great mentorship for aspiring fields.
Cutting-Edge Curriculum
With an undergraduate programme in CSE (B.Tech CSE), you get introduced to AI, Data Science, Machine Learning, Blockchain etc.
Hands-on Learning
You will get hands-on projects, internships and industry collaborations involving the latest technologies in AI and IoT.
Industry-Ready Skills
This programme imparts high-demand skills in Cyber Security, Software Development, and Computer Vision, making you job-ready for multiple tech roles.
International Exposure and Assistant in Career
We give you 100% internship support, exposure to the world of industry and technical expertise with connections with alumni at various levels to give you the boost that you need in your career.
Entrepreneurial Mindset
There are many supports to kick start your own venture like the MIT-WPU technology business incubator (TBI), which supports funding, mentorship & Networking.
The ‘Oxford of Pune’
Being in Pune — a city known for its innovation, MIT-WPU allows you the opportunity to collaborate with the global network and industry leaders.
admissions@mitwpu.edu.in 
