B.Tech Computer Science and Engineering
Programme Overview
The B.Tech. Computer Science and Engineering (CSE) programme at MIT World Peace University (MIT-WPU), Pune is designed to develop technically competent, innovative, and socially responsible computer engineering professionals equipped to address the evolving needs of the digital world. The programme provides a strong foundation in computer science and engineering while enabling students to explore emerging areas such as Artificial Intelligence and Machine Learning, Data Science, Cyber Security, Blockchain, Cloud Computing, Internet of Things, Software Engineering, and Computer Vision.
The curriculum follows a progressive learning approach, beginning with fundamental concepts such as programming, data structures and algorithms, database management, operating systems, computer networks, software engineering, computer architecture, and mathematics, and gradually progressing towards advanced technologies and specialised domains. This ensures that students develop both strong conceptual understanding and the ability to apply knowledge to complex real-world problems.
The programme is supported by advanced computing laboratories, industry interactions, internships, project-based learning, and opportunities for entrepreneurship and innovation. MIT-WPU also provides students with opportunities for engagement with industry and its technology entrepreneurship ecosystem.
Major Tracks
- Data Science
- Information & Cyber Security
- Multimedia & Computer Vision
- Software Design & Development
Duration & Fees
Duration
4 Years
Applications closed
Fee Per Year
₹ 4,10,000
Scholarship
| Scholarship for AY 2026-27 | JEE Main 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 2026 or MHT-CET 2026 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
Eligibility
A minimum of 50% aggregate marks in Class 10+2/ HSC, with English as a compulsory subject and A minimum of 50% aggregate marks in any one of the following subject groups:
- PCM (Physics, Chemistry, Mathematics),
- Physics & Mathematics with any Technical Vocational Subject
- PCB* (Physics, Chemistry, Biology*),
[*Biology/Biotechnology is applicable only for the Bioengineering Programme.] (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
OR
A minimum 60% aggregate marks in a Diploma in Engineering & Technology in a relevant branch from a government-approved technical board.
Selection Process
Admissions are based on the scores of JEE 2026/ MHT-CET 2026/ PERA-CET 2026, or MHT-CET-B* 2026/ NEET 2026* (*applicable only for the Bioengineering programme), along with a 500-word Statement of Purpose (SOP) written by the candidate
Programme Highlights
- Develop strong foundations in computer science and engineering principles.
- Build proficiency in programming, algorithms, software development, and computational problem-solving.
- Equip students with knowledge of emerging technologies and industry-relevant tools.
- Foster research, innovation, entrepreneurship, and interdisciplinary collaboration.
- Develop professional skills including communication, teamwork, leadership, ethics, and lifelong learning.
- Prepare graduates for successful careers in the IT industry, research organisations, startups, higher education, and entrepreneurship.
- Enable students to design and develop innovative, sustainable, and socially relevant technology solutions.
Key USPs
- Cutting-Edge Computing Resources
State-of-the-art infrastructure with dedicated iOS Lab, where students undertake year-long hands-on development projects, alongside GPU-enabled AI workstations, IoT, Drone, and DARC Labs, supported by highly accomplished faculty with strong academic and research expertise. - Holistic Peace-Based Values
Combines technical mastery with MIT-WPU's peace-based education, focusing on ethical computing, leadership, communication, and sustainable technology. - Research Excellence & Innovation
One of the University's leading departments, with young, dynamic faculty driving outcome-based education and cutting-edge research in AI, ML, Data Science, and associated fields through funded projects, patents, and high-quality publications. - Future-Ready Curriculum Aligned with NEP & Industry
An NEP 2020-aligned, industry-driven curriculum, benchmarked with global universities, continuously updated with industry inputs, and integrated with globally recognized certifications to prepare students for future-ready careers. - Industry Alliances & Careers
Strategic corporate partnerships are driving consultancy projects, expert guest lectures, industrial training, and exceptional career placement opportunities. - Global Exposure & Mentorship
Global exposure through international collaborations, national and international immersion programs, student exchange opportunities, startup incubation, coding clubs, and participation in national and international competitions.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
I |
PF |
Linear Algebra and Differential Calculus |
3 |
|
I |
PF |
Engineering Chemistry |
3 |
|
I |
PF |
Engineering Physics |
3 |
|
I |
PF |
Engineering Graphics |
3 |
|
I |
PF |
Ideas and Innovations in Manufacturing |
1 |
|
I |
UC |
Environment and Sustainability |
1 |
|
I |
UC |
Yoga - I |
1 |
|
I |
UC |
Social Leadership Development Program |
1 |
|
I |
UC |
Python Programming |
2 |
|
I |
UC |
Financial Literacy |
1 |
|
I |
UC |
Indian Constitution |
1 |
|
|
Total Credits: |
20 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
II |
PF |
Engineering Mechanics |
3 |
|
II |
PF |
Foundations of Programming |
4 |
|
II |
PF |
Discrete Mathematics with Graph Theory |
3 |
|
II |
Program Capstone Project/ Seminar and Internships |
Foundations of Computer Architecture and System Design |
4 |
|
II |
UC |
Yoga - II |
1 |
|
II |
UC |
Co-creation |
1 |
|
II |
UC |
Foundation of Peace |
2 |
|
II |
UC |
Indian Knowledge System (General) |
2 |
|
II |
UC |
Sports |
1 |
|
|
Total Credits: |
21 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
|
III |
PF |
Calculus and Numerical Methods |
4 |
|
III |
PF |
Data Structures |
3 |
|
III |
PF |
Data Structures Laboratory |
1 |
|
III |
PF |
Microprocessor, Microcontroller and Applications Lab |
1 |
|
III |
PM |
Microprocessor, Microcontroller and Applications |
3 |
|
III |
UE |
University Elective -I |
3 |
|
III |
UC |
Research Innovation Design Entrepreneurship |
1 |
|
III |
UC |
Spiritual and Cultural heritage: Indian Experience |
2 |
|
III |
PF |
Indian Knowledge System (Sci & Tech) |
2 |
|
|
Total |
20 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
|
IV |
University Electives |
University Elective -II |
1 |
|
IV |
Program Capstone Project/ Seminar and Internships |
Object Oriented Concepts using C++ |
1 |
|
IV |
Program Foundation |
Probability and Statistics |
3 |
|
IV |
Program Major |
Advanced Data Structures |
4 |
|
IV |
Program Foundation |
Advanced Data Structures Laboratory |
2 |
|
IV |
Program Major |
Database Management Systems |
3 |
|
IV |
Program Major |
Database Management Systems Laboratory |
2 |
|
IV |
University Core |
Rural Immersion |
3 |
|
IV |
University Core |
Life Transformation Skills |
2 |
|
IV |
Program Capstone Project/ Seminar and Internships |
Seminar |
2 |
| IV |
Program Capstone Project/ Seminar and Internships |
Cognitive Skills |
2 |
|
|
Total Credits: |
21 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
V |
PM |
Computer Networks |
3 |
|
V |
PM |
Computer Networks Laboratory |
1 |
|
V |
PM |
Theory Of Computation |
3 |
|
V |
PM |
Internet of Things Laboratory |
1 |
|
V |
PM |
Artificial Intelligence and Expert Systems |
3 |
|
V |
PM |
Artificial Intelligence and Expert Systems Laboratory |
1 |
|
V |
PM |
Software Engineering and Modelling |
3 |
| V |
PF |
Software Engineering and Modelling Lab |
1 |
| V |
UC |
Managing Conflicts Peacefully: Tools and Techniques |
2 |
| V |
PF |
Java Programming |
1 |
| V |
UE |
University Electives - III |
3 |
| V |
PE |
Program Elective - I |
4 |
|
|
Total Credits: |
22 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
VI |
PM |
Operating System |
3 |
|
VI |
PM |
Operating System Laboratory |
1 |
|
VI |
PM |
Advanced Algorithms |
3 |
|
VI |
Program Capstone Project/Seminar and Internships |
Data Engineering and Data Visualization |
3 |
|
VI |
PM |
Machine Learning |
3 |
|
VI |
PM |
Machine Learning Laboratory |
1 |
|
VI |
PM |
Full Stack Development Laboratory |
1 |
| VI |
Program Capstone Project/Seminar and Internships |
Competitive Coding |
1 |
| VI |
UC |
National Academic Immersion Program |
2 |
| VI |
PE |
Program Elective - II |
4 |
|
|
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 |
6 |
|
VII |
PM |
Information and Cyber Security |
4 |
|
VII |
PM |
Distributed Computing |
3 |
|
VII |
PM |
System Software and Compiler Design |
4 |
|
|
|
Total Credits: |
21 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
|
VIII |
PE |
Program Elective - IV |
4 |
|
VIII |
Program Capstone Project/Semi- nar and Internships |
Internship |
10 |
|
|
Total Credits: |
14 |
Career Prospects
Software Developer
Data Scientist
Full Stack Developer
AI/ML Developer
Cyber Security Analyst
Software Architect
Product Developer
Programme Outcomes
- Design and develop scalable algorithms and programming solutions to address real-world challenges in fields such as data science, AI, and cyber security.
- Create systems that meet societal, economic, and environmental needs while ensuring health and safety standards.
- Use research-based knowledge to identify and solve complex problems effectively.
- Communicate complex engineering principles clearly and professionally to diverse audiences.
- Collaborate in multidisciplinary teams and demonstrate leadership in professional settings.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
The B.Tech Computer Science and Engineering curriculum includes core subjects such as data structures, algorithms, operating systems, software engineering, computer networks, database management systems, and artificial intelligence. Additionally, niche subjects like cyber security, data science, machine learning, and blockchain equip you with skills relevant to the rapidly evolving tech industry.
B.Tech CSE has a broader scope compared to B.Tech IT, as it extensively covers core computer science areas such as programming, software development, data structures, algorithms, artificial intelligence, and machine learning. These skills can lead to roles like software developer, data scientist, or AI engineer. B.Tech IT, on the other hand, focuses more on IT infrastructure, system administration, and business management. Both offer good job opportunities, but if you aspire to work in software development, AI, or data analytics, B.Tech CSE is the better choice.
The B.Tech CSE at MIT-WPU is designed to keep students abreast of the fast-evolving AI and Machine Learning domains. The curriculum includes essential topics like machine learning algorithms, deep learning techniques, and AI computing platforms. Students work on real-world projects such as data analysis, predictive modelling, computer vision, and natural language processing. With access to state-of-the-art facilities, cutting-edge labs, and technology, the programme blends theoretical concepts with practical applications, ensuring readiness for real-world challenges in AI and ML.
- Cutting-Edge Curriculum: The programme offers a comprehensive curriculum covering fields like AI, Data Science, Cyber Security, Blockchain, and Machine Learning.
- Hands-on Learning: Students work on real-life projects, engage in industry collaborations, and participate in internships using emerging technologies such as AI, IoT, and Big Data.
- Industry-Ready Skills: Gain expertise in high-demand areas like Cyber Security, Software Development, and Multimedia & Computer Vision, making you ready for diverse roles in the tech industry.
- International Exposure and Career Support: Benefit from internship guidance with international industries, access to a 100,000+ strong alumni network, and mentoring programmes.
- MIT-WPU Technology Business Incubator (TBI): For entrepreneurial aspirants, the TBI programme offers funding, mentorship, and networking opportunities.
B.Tech CSE vs. B.Tech IT
B.Tech CSE is more software-oriented, focusing on computer systems, programming, and development, while B.Tech IT emphasises technology, networks, and managing information systems.
B.Tech CSE vs. BCA
B.Tech CSE is a four-year engineering programme offering technical depth in computer science concepts, whereas BCA Science (Hons) is a 4 year undergraduate degree focused on programming and application development with less technical emphasis.
admissions@mitwpu.edu.in
