Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science) (Diploma + Degree)
Programme Overview
The MIT-WPU Integrated B.Tech in Computer Science and Engineering 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 Closed for 2025
Fee Per Year
₹ 1,95,000
Scholarship
| Scholarship for AY 2025-26 | MIT-WPU CET CBT Score | Xth Aggregate Score |
|---|---|---|
|
Dr. Vishwanath Karad Scholarship |
95 & Above |
93 & Above |
|
MIT-WPU Scholarship I |
90 & Above |
90 & Above |
|
MIT-WPU Scholarship II |
85 & Above |
88 & Above |
Note: Student will have to qualify both the criteria i.e. MIT-WPU CET 2025 CBT (Computer Based Test) Score and 10th Aggregate score for availing the scholarship.
This scholarship is applicable for the first three years of the Programme. 4th Year onwards, first two academic toppers of 3rd year Integrated B.Tech.(Diploma) will receive 15% scholarship in each programme.
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% marks in 10th Std. Examination with Science and Mathematics are compulsory subjects from the Government approved board or its equivalent (at least 55% marks, in case of Reserved category candidate belonging to Maharashtra State only)
Selection Process
The selection process for the Integrated B.Tech Programmes is based on MIT-WPU CET Entrance Examination 2025 & Personal Interaction (PI) score conducted by the University as per schedule.
(The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
*Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.
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 |
Foundation of Engineering Mathematics |
PF |
4 |
|
2 |
Physics-I |
PF |
4 |
|
3 |
Chemistry-I |
PF |
3 |
|
4 |
Problem Solving & Programme Design Using C Language |
PF |
3 |
|
5 |
Graphics for Engineers |
PF |
2 |
|
6 |
English |
PF |
2 |
|
7 |
Yoga-I |
UC |
1 |
|
8 |
Environment and Sustainability |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Calculus and Basic Statistics |
PF |
4 |
|
2 |
Physics-II |
PF |
4 |
|
3 |
Chemistry-II |
PF |
3 |
|
4 |
Basics of Mechanics |
PF |
4 |
|
5 |
Fundamentals of Electrical & Electronics Engineering |
PF |
3 |
|
6 |
Programming in C |
PF |
2 |
|
7 |
Sports |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Linear Algebra and Differential Calculus |
PF |
3 |
|
2 |
Algorithms and Data structures Concepts |
PM |
5 |
|
3 |
Object Oriented Programming |
PM |
4 |
|
4 |
Relational Database Management System Concepts |
PM |
4 |
|
5 |
Fundamentals of AI |
PM |
2 |
|
6 |
Skill Course-1: Statistics for ML using Python |
PM |
2 |
|
7 |
Effective Communication |
UC |
1 |
|
8 |
Critical Thinking |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Integral Calculus |
PF |
3 |
|
2 |
Concepts of Operating Systems |
PM |
4 |
|
3 |
Competitive Programming |
PM |
4 |
|
4 |
Basics of Machine Learning |
PM |
4 |
|
5 |
Foundation of Data warehousing and Data Mining |
PM |
4 |
|
6 |
Skill Course-2: Python for Data Science |
PM |
2 |
|
7 |
Advanced Excel |
UC |
1 |
|
8 |
Financial Literacy |
UC |
1 |
|
9 |
Yoga-II |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
Java Technologies |
PM |
5 |
|
2 |
Fundamentals of Computer Networks |
PM |
4 |
|
3 |
Fundamentals of Data Analytics |
PM |
4 |
|
4 |
Fundamentals of Cloud Computing |
PM |
3 |
|
5 |
1. Foundations of Network Security |
PE |
4 |
|
2. Applied Machine Learning |
|||
|
6 |
Capstone Project Stage-I |
PR |
1 |
|
7 |
Summer Internship |
PR |
4 |
|
8 |
Foundation of Peace |
UC |
2 |
|
9 |
SLDP |
UC |
1 |
| Sr.No. | Course Name/Course Title | Course Type | Total Credits |
|---|---|---|---|
|
1 |
1. Introduction to Blockchain Technology |
PE |
4 |
|
2. Big Data Analytics using Tableau |
|||
|
2 |
Software Engineering |
PM |
4 |
|
3 |
Data Visualization using Python |
PM |
2 |
|
4 |
Skill Course-3: Deep Learning Essentials |
PM |
2 |
|
5 |
Capstone Project Stage-II |
PR |
3 |
|
6 |
Co-creation |
UC |
1 |
|
7 |
Indian Constitution |
UC |
1 |
|
8 |
IKS (General) |
UC |
2 |
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 Integrated B.Tech course in Computer Science and Engineering 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 Integrated 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 Integrated 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 
