B.Sc. Computer Science
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.
- Computer Science
- Cloud Computing
- Cyber Security
Last Date to Apply : 09 June 2025
B.Sc. Computer Science
| Scholarship Name | MIT-WPU CET Score |
| Dr. Vishwanath Karad Scholarship (100%) | 90 & Above |
| MIT-WPU Scholarship I (50%) | 88 & Above |
| MIT-WPU Scholarship II (25%) | 85 & Above |
Note: Student will be entitled to scholarship based on MIT-WPU CET 2025 CBT (Computer Based Test) 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
Minimum 50% aggregate score in 10+2/Class 12th or its equivalent examination in science stream with Mathematics subject (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only)
OR
Minimum 55% aggregate score in any 3 years Engineering Diploma from State Government approved Institution or its equivalent.
The selection process for the Programme is based on MIT-WPU CET Entrance Examination 2025 & Personal Interaction (PI) score. Step 1) MIT-WPU CET UG Computer Science 2025 - Online proctored entrance exam and
Step 2) Personal Interview MIT-WPU CET UG Computer Science 2025 Exam Pattern:
Type of Questions: Objective
Number of Questions: 100
Marks: 100
Duration: 1 hr
Negative Marking: No
*Note: MIT-WPU retains the right to make changes to any published schedule. (The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
- 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.
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
I |
University Core |
Effective Communication |
1 |
|
I |
University Core |
Critical Thinking |
1 |
|
I |
University Core |
Environment and Sustainability |
1 |
|
I |
University Core |
Foundations of Peace |
2 |
|
I |
University Core |
Yoga - I |
1 |
|
I |
University Core |
SLDP |
1 |
|
I |
Programme Foundation |
C Programming |
5 |
|
I |
Programme Foundation |
Computer Orgnisation |
3 |
|
I |
Programme Foundation |
Discret Mathematics |
3 |
|
I |
Programme Foundation |
Digital Electronics |
4 |
|
|
Total |
22 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
II |
University Core |
Advanced Excel |
1 |
|
II |
University Core |
Financial Literacy |
1 |
|
II |
University Core |
Yoga - II |
1 |
|
II |
University Core |
Co-creation |
1 |
|
II |
University Core |
Indian Constituion |
1 |
|
II |
University Core |
IKS(General) |
2 |
|
II |
University Core |
Sports |
1 |
|
II |
Programme Major |
Data Structure using C |
4 |
|
II |
Programme Foundation |
Data Base Management System |
4 |
|
II |
Programme Foundation |
Applied Stastitics |
2 |
|
II |
Programme Foundation |
Microprocessor |
4 |
|
|
Total |
22 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
III |
University Core |
Research Innovation Design Entrepreneurship (RIDE) |
1 |
|
III |
University Core |
Spiritual & Cultural Heritage; Indian Experience |
2 |
|
III |
University Electives |
UE - I |
3 |
|
III |
University Electives |
UE-II |
3 |
|
III |
Programme Capstone Project/ Problem Based Learning/Seminar and Internships |
Project Based Learning - I |
1 |
|
III |
Programme Foundation |
Microcontroller |
4 |
|
III |
Programme Major |
OOP using C++ |
4 |
|
III |
Programme Major |
Web Technologies |
4 |
|
|
Total |
22 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
IV |
University Electives |
UE-III |
3 |
|
IV |
University Core |
Rural Immersion |
1 |
|
IV |
Programme Capstone Project/ Problem Based Learning/Seminar and Internships |
Project Based Learning - II |
1 |
|
IV |
University Core |
Life Transformation Skills |
1 |
|
IV |
Programme Foundation |
IKS-2 |
2 |
|
IV |
Programme Foundation |
Number Theory and Calculus |
3 |
|
IV |
Programme Major |
Advanced Web Technologies |
4 |
|
IV |
Programme Major |
Operating System Concepts |
2 |
|
IV |
Programme Major |
Data Communication and Networking |
4 |
|
IV |
Programme Capstone Project/ Problem Based Learning/Seminar and Internships |
Lab on Python |
2 |
|
|
Total |
23 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
V |
University Core |
Managing Conflicts Peacefully: Tools and Techniques |
2 |
|
V |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Project Based Learning - III |
1 |
|
V |
Programme Electives |
Programme Elective |
4 |
|
V |
Programme Major |
Core Java |
4 |
|
V |
Programme Major |
Theortical Computer Science |
2 |
|
V |
Programme Major |
Network Security |
2 |
|
V |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Lab on Data Analytics using Python |
2 |
|
V |
Programme Major |
Software Engineering |
2 |
|
V |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Research Paper Writing |
1 |
|
|
Total |
20 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
VI |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Project Based Learning - IV |
1 |
|
VI |
University Core |
National Academic Immersion |
2 |
|
VI |
Programme Electives |
Programme Elective |
4 |
|
VI |
Programme Major |
Advanced Java Programming |
4 |
|
VI |
Programme Major |
Agile Methodology |
2 |
|
VI |
Programme Major |
Internet of Things |
2 |
|
VI |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Mini Project I |
4 |
|
|
Total |
19 |
|
| Semester | Course Type | Course Name/Course Title | Total Credits |
|
VII |
Programme Electives |
Programme Elective |
4 |
|
VII |
Programme Major |
Introduction to AI and ML |
4 |
|
VII |
Programme Major |
Mobile Application Development |
4 |
|
VII |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Mini Project II |
4 |
|
VIII |
Programme Electives |
Programme Elective |
4 |
|
VIII |
Programme Capstone Project/ Problem Based Learning/ Seminar and Internships |
Full Time Industrial Internship |
15 |
|
|
Total |
35 |
|
- 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.
100% placement assistance
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.
admissions@mitwpu.edu.in 
