B.Tech. After 10th (3 years Diploma + 3 years Degree) in Computer Science and Engineering - Artificial Intelligence & Data Science
Programme Overview
The MIT-WPU B.Tech. After 10th (3 years Diploma + 3 years Degree) in Computer Science and Engineering - Artificial Intelligence & Data Science with a specialization in Artificial Intelligence and Data Science is a unique six-year programme that prepares you from school through to a professional computer science engineer. The programme not only provides a strong foundation in computer science but also covers cutting-edge tools such as AI and Data Science.
Starting with fundamental subjects like programming, mathematics, and science, the programme progresses to advanced topics including Business Intelligence, Edge AI, Quantum Computing, and Medical Image Processing. By the end of the course, you will be well-versed in the latest trends in AI and Data Science, equipping you for a wide range of career opportunities in these ever-expanding fields.
Major Tracks
- Business Intelligence, Edge AI
- Bio-Inspired Computing, Medical Image Processing
- Human Computer Interface, Augmented Reality & Virtual Reality
- Time Series Analysis & forecasting, Quantum Computing
Duration & Fees
Duration
6 Years
Applications Open for 2026
Fee Per Year
₹ 2,15,000*
After 3-year Diploma, the fee for the B.Tech. degree will be the same as the regular B.Tech. programme fees of that academic year.
Scholarship
| Scholarship for AY 2026-27 | MIT-WPU CET CBT Score | 10th Aggregate marks |
|---|---|---|
|
Dr. Vishwanath Karad Scholarship (100%) |
95 & Above |
93 & Above |
|
MIT-WPU Scholarship I (50%) |
90 & Above |
90 & Above |
|
MIT-WPU Scholarship II (25%) |
85 & Above |
88 & Above |
Note: Scholarships will be awarded based on the MIT-WPU CET 2026 Computer-Based Test (CBT) score and Class 10/ SSC Aggregate marks.
This scholarship is applicable for the first three years of the Programme. In 4th year, first two academic toppers of 3rd year Integrated B.Tech.(Diploma) will receive 15% scholarship in each programme subject to fulfilment of eligibility for scholarships.
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 there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 60% aggregate marks in the Class 10/ SSC examination from a government-approved board or its equivalent, with Science and Mathematics as compulsory subjects. (Minimum 55% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
Selection Process
Admission will be based on the MIT-WPU CET 2026 Entrance Examination and the Personal Interaction (PI) score, conducted by the University as per the prescribed schedule.
Programme Highlights
- Advanced Infrastructure : World-class labs for hands-on education in AI, Data Science, Cyber Security, and Augmented Reality.
- Collaboration with Industries : Internship opportunities with leading companies such as Tata Technologies, Mercedes-Benz, Volkswagen, etc.
- Partnerships With Industries : Opportunities to collaborate with top companies, including Tata Technologies, Mercedes-Benz, Volkswagen, and more.
- Skill-Based Learning : Emphasis on developing soft skills such as Business Communication and Presentation Skills.
- Research Opportunities : Engage in hands-on projects, cutting-edge research, and collaboration with industry professionals.
Programme Structure
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Basic Mathematics |
AEC |
4 |
|
2 |
Basic Physics |
DSC |
3 |
|
3 |
Essentials of Computers |
SEC |
2 |
|
4 |
Yoga and Meditation |
VEC |
1 |
|
5 |
Graphics for Engineers |
DSC |
2 |
|
6 |
Web Page Designing |
SEC |
3 |
|
7 |
Computer Workshop Practices |
SEC |
2 |
|
8 |
Linux Basics |
DSC |
3 |
|
Total Credits |
20 |
||
|
9 |
SLDP |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Applied Mathematics |
AEC |
2 |
|
2 |
Basic Electrical & Electronics Engineering |
AEC |
4 |
|
3 |
Programming in C |
AEC |
4 |
|
4 |
Communicative Competence |
AEC |
3 |
|
5 |
Data Communication and Computer Networks |
DSC |
4 |
|
6 |
Social and Life Skills |
VEC |
1 |
|
7 |
Environmental Education and Sustainability |
VEC |
2 |
|
Total Credits |
20 |
||
|
8 |
Sports |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Database Management System |
DSC |
3 |
|
2 |
Digital Techniques & Microprocessor Programming |
DSC |
4 |
|
3 |
Data Structures using Python |
DSC |
5 |
|
4 |
Statistical Modelling for Machine Learning |
DSC |
4 |
|
5 |
Data Storytelling & Visualization |
DSC |
3 |
|
6 |
Essence of Indian Constitution |
VEC |
1 |
|
Total Credits |
20 |
||
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
UI / UX Design |
SEC |
3 |
|
2 |
Java Programming |
AEC |
4 |
|
3 |
Operating System |
DSC |
4 |
|
4 |
Mathematics for Machine Learning |
AEC |
3 |
|
5 |
AI & ML Algorithms |
DSC |
3 |
|
6 |
Data Warehousing & Data Mining |
DSE |
3 |
|
Total Credits |
20 |
||
|
7 |
Co-Creation |
UC |
1 |
|
8 |
Foundation of Peace |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Capstone Project |
INP |
2 |
|
2 |
Software Engineering |
DSC |
4 |
|
3 |
Cloud Computing for Data Science |
DSC |
3 |
|
4 |
Mobile Application Development |
DSC |
4 |
|
5 |
Big Data Analytics |
DSC |
3 |
|
6 |
Advanced Machine Learning / Image Processing / BI |
DSE |
4 |
|
Total Credits |
20 |
||
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Entrepreneurship Development & Startups |
AEC |
2 |
|
2 |
Management |
AEC |
2 |
|
3 |
Internship |
INP |
15 |
|
4 |
Project Seminar |
INP |
1 |
|
Total Credits |
20 |
||
Career Prospects
Software Engineer
Data Scientist
AI/ML Engineer
Business Intelligence Developer
Data Analyst
Robotics and Automation Expert
Machine Learning Engineer
Quantum Computing Specialist
Programme Outcomes
- Launch your professional journey with a solid foundation in AI and Data Science.
- Use data visualisation, machine learning, and predictive analysis to solve real-world problems across various fields.
- Conduct meaningful research with cutting-edge technologies in AI and Data Science that foster innovation.
- Address societal challenges with data-driven solutions and AI-based technologies, leveraging your comprehensive experience to its fullest.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
MIT-WPU offers an B.Tech. After 10th (3 years Diploma + 3 years Degree) in Computer Science and Engineering - Artificial Intelligence & Data Science that begins as a diploma programme for the first 3 years, which then transitions into a full-fledged B.Tech course for the next 3 years. This continuous learning model combines foundational knowledge with specialised skills in AI, data science, and engineering.
In the initial years, students focus on fundamental subjects like mathematics, science, and programming. As the course progresses, students delve into advanced topics such as AI, data science, machine learning, and software engineering. The curriculum offers a balanced combination of theory, real-life projects, and practical exposure through internships, ensuring that students are industry-ready by the time they complete the programme.
The Diploma B.Tech programme is distinct from other programmes because it allows students to begin right after class 10 and provides a seamless journey through both diploma-level and degree-level education over six years. This approach integrates foundational knowledge with advanced industry trends and technologies, offering a smooth transition into an engineering career without the need for a separate diploma or degree.
After completing the Diploma B.Tech, you can pursue careers as an AI/ML engineer, data scientist, or software developer. You will be eligible for roles across sectors such as IT, finance, healthcare, and telecommunications, including positions like AI/ML engineer, data scientist, business intelligence developer, and software architect. The comprehensive education equips you to work in a wide range of tech-driven industries.
Yes, MIT-WPU offers 100% placement support through its extensive industry network and collaborations with top companies like Tata Technologies, Infosys, Capgemini, and Cognizant. The university’s Career Services team (CIAP) also helps students with resume building, and interview preparation, and connects them with diverse employment opportunities.
- A Smooth Educational Path Start from school and gradually progress towards a complete engineering degree.
- All-inclusive Curriculum Covers everything from the fundamentals of computer science to the latest technologies.
- Real-World Learning Opportunities Gain practical experience through internships and real-world projects to refine your skills.
- Professional Teachers Learn from experienced educators who provide practical insights into the industry.
- Cutting-Edge Facilities Work in modern labs and use the latest tools, keeping you ahead in emerging technology fields.
admissions@mitwpu.edu.in
