B.Sc. Computer Science (Hons)
Programme Overview
The B.Sc. Computer Science course at MIT-WPU is a full-time study with an emphasis on programming, databases, web development, and emerging technologies such as AI, machine learning, cybersecurity, etc. The curriculum focuses heavily on practical application and prepares students to tackle real-world issues and drive innovation in the tech sector. The programme starts with the principles of computer science and advances into specialisations such as cloud computing, data science, network security, and blockchain technology.
The programme also offers practical experience through real-world projects and industry partnerships and prepares students for careers in software development, cybersecurity, and data analysis. The programme also offers international exposure with partners such as the University of Wisconsin, providing opportunities for exchange programmes and joint research.
Major Tracks
- Computer Science
- Cloud Computing
- Cyber Security
Duration & Fees
Duration
4 Years
Applications Open for 2026
Fee Per Year
₹ 2,00,000
Scholarship
| Scholarship for AY 2026-27 | MIT-WPU CET CBT Score |
|---|---|
|
Dr. Vishwanath Karad Scholarship (100%) |
90 & Above |
|
MIT-WPU Scholarship I (50%) |
88 & Above |
|
MIT-WPU Scholarship II (25%) |
85 & Above |
Note: Scholarships will be awarded based on the MIT-WPU CET 2026 Computer-Based Test (CBT) score.
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 and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 50% aggregate marks in Class 10+2/ HSC or its equivalent examination in science stream with Mathematics, & Statistics subject (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
OR
Minimum 55% aggregate marks in any 3 years Engineering Diploma from State Government approved Institution/ board.
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
- Holistic Curriculum : A well-rounded curriculum that consists of core computer science subjects, AI, machine learning, and cyber security.
- International Exposure : Vast opportunities for international exchange programmes with partner universities.
- Internships (Placement) : Industry collaborations with companies such as Deloitte, Cognizant, and Infosys.
- Practical Component : Real-life projects, case studies, seminars, workshops, research, guest lectures by industry experts, and immersion programmes.
- Increased Focus on Innovation : Emphasis on AI, ML, cloud computing, and data science.
Programme Structure
| Semester | Course Type | Course Name/Course Title | 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 | C Programming | 5 |
|
I |
PF | Computer Organization | 3 |
|
I |
PF | Digital Electronics | 4 |
|
I |
PF | Discrete Mathematics | 3 |
|
I |
PF | Applied Statistics | 2 |
|
Total |
Credits: 22 | ||
| Semester | Course Type | Course Name/Course Title | 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 | Database Management System | 4 |
|
II |
PM | Microprocessor | 4 |
|
II |
PF | Data Structure using C | 4 |
|
Total |
Credits: 21 | ||
| Semester | Course Type | Course Name/Course Title | 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 |
PM | Microcontroller | 4 |
|
III |
PM | OOP using C++ | 4 |
|
III |
PF | Web Technologies | 4 |
|
III |
PF | Data Analytics | 2 |
|
III |
PF | Lab on Python | 2 |
|
Total |
Credits: 22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
IV |
UC | Rural Immersion | 1 |
| IV | UC | Life Transformation Skills | 1 |
| IV | UE | University Electives - II | 3 |
| IV | PF | Indian Knowledge System (Sci. & Tech.) | 2 |
| IV | PF | Number Theory & Calculus | 3 |
| IV | PM | Data Communication and Networking | 4 |
| IV | PF | Operating System | 3 |
| IV | PM | Network Security | 2 |
| IV | PM | Software Engineering | 3 |
|
Total |
Credits: 22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
V |
UC | Managing Conflicts Peacefully: Tools and Techniques | 2 |
| V | UE | University Electives - III | 3 |
| V | PE | Program Elective - I | 4 |
| V | PM | Core Java | 4 |
| V | PM | Advanced Web Technologies | 3 |
| V | Program Capstone Project/Seminar and Internships | Cognitive Skills | 1 |
| V | Program Capstone Project/Seminar and Internships | Mini Project-I | 4 |
|
Total |
Credits: 21 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
VI |
UC | National Academic Immersion Program | 2 |
| VI | PE | Program Elective - II | 4 |
| VI | PM | Advanced Java | 5 |
| VI | PM | Artificial Intelligence and Machine Learning | 3 |
| VI | PM | Mobile Application Development | 3 |
| VI | Program Capstone Project/Seminar and Internships | Mini Project-II | 5 |
|
Total |
Credits: 22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
VII |
PE | Program Elective - III | 4 |
|
VII |
PM | Agile Methodology | 2 |
|
VII |
PM | Internet of Things | 3 |
|
VII |
PM | Theoretical Computer Science | 2 |
|
VII |
PM | Research Methodology | 2 |
|
VII |
Program Capstone Project/ Seminar and Internships | Research Paper Writing | 3 |
|
Total |
Credits: 22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
VIII |
PE | Program Elective - IV | 4 |
|
VIII |
Program Capstone Project/ Seminar and Internships | Internship | 15 |
| Credits: 19 | |||
Career Prospects
Software Engineer
Cyber Security Analyst
Data Scientist
AI/ML Developer
Cloud Architect
Web Developer
Network Security Engineer
Programme Outcomes
- Use knowledge of computing and mathematics in specific areas, including algorithms, data structures, and communication.
- Build software systems with good planning and software engineering processes.
- Leverage Java, PHP, Python, ML, SQL, etc., to develop web and mobile apps.
- Transform theories into solutions for practical applications.
- Demonstrate excellent written and oral communication skills for collaboration with professional colleagues.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
A well-balanced mix of theoretical classes, real-time projects, guest lectures, and internships with industries is the learning approach of MIT-WPU.
The placement record at MIT-WPU stands at [add %], with students being roped in by some of the top companies in the world such as Deloitte, Infosys, Cognizant, and more.
Both Java, C++, Python, and many other languages that are industry-relevant and will keep students aligned with the ever-evolving tech landscape.
You can also specialise in AI, Cybersecurity, and Cloud Computing, and gain expertise in these high-demand subjects.
With the association of international campuses, MIT-WPU gives you the benefit of exchange programmes, research associations, etc., which will give you a wide range of exposure to the world.
The B.Sc. Computer Science syllabus includes a plethora of programming languages, web development, and databases, along with new technologies like AI, ML, and Cybersecurity. The programme equips students with all job prospects related to computer science through a practical approach towards critical thinking, problem-solving, and analysis.
You can specialise your education in fields like Cloud Computing, Data Science, and Cybersecurity, so the courses can cater specifically to your career. The courses offered are comprehensive and lead professionals to success, including optional subjects such as Intellectual Property Rights, Data Mining, and Blockchain Technology. Experiential learning is a big component of the programme, and students work on real-world media and technology projects through internships to get ready for the competitive tech industry.
- Programming Fundamentals : Basics of computer languages (C, Python, Java), which is a foundation in software development.
- Design and Analysis of Algorithms : Learn about the efficient organisation and processing of data to solve computational problems.
- Database Management Systems : Learn methods of structuring, handling, and querying data with databases.
- Web Technologies : Learn how to build interactive websites and web applications with modern tools and frameworks.
- Networking and Security : Learn about computer networks, protocols, and security measures to defend data and systems.












