MCA
Programme Overview
The Master of Computer Applications (MCA) at MIT-WPU fosters a research-oriented mindset throughout students' academic careers, this programme seeks to strengthen students' fundamental knowledge of computer science while progressively exposing them to new developments.
Incorporating the methodologies of computer science and engineering, the programme illustrates real-world applications while fostering a research mindset. Students learn about the new tools, technologies, and applications through a concentrated curriculum that encompasses Internet technologies, machine learning, data science, mobile application development, programming languages, advanced databases, computer science fundamentals, and Agile and Scrum Master methodologies.
Industry-specific internships, real-world projects, and collaborations with businesses offer essential pre-placement exposure to practical experiences. Graduates possess the skills to successfully conceptualise, design, develop, implement, and execute software applications.
Major Tracks
- Data Science and Analytics
- Mobile Application Development - iOS Programming
- Next Generation Database
- Cloud Computing
- Artificial Intelligence and Machine Learning
- Advanced Software Development Methodologies
- Data mining and Data Warehousing
Duration & Fees
Duration
2 Years
Applications Open for 2026
Fee Per Year
₹ 2,65,000
Scholarship
| Scholarship for AY 2026-27 | MIT-WPU CET CBT SCORE |
|---|---|
|
Dr. Vishwanath Karad Scholarship |
88 & Above |
|
MIT-WPU Scholarship I |
85 & Above |
|
MIT-WPU Scholarship II |
83 & 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 60% aggregate marks in 3/4-year graduation degree in science stream/ BCA from a UGC-approved institution/university or its equivalent. In addition, candidates must have studied Mathematics as one of the subjects at the Class10+2 level or at the graduate level (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
- Industry-Relevant Curriculum : Cutting-edge curriculum which mirrors the latest trend of industry. Concentrates hands-on orientation through projects and case studies.
- Flexible Learning Structure : Semester-based, choice-based credit system (CBCS), enabling the student for a complete flexibility in learning.
- Guaranteed Internship and Placement Support : MIT-WPU Centre for Industry-Academia Partnerships (CIAP) ensures 100% internship and placement support connecting the student to the major stakeholders in industry.
- Expert Mentors and Real-World Insights : Faculty comprising experienced professionals as well as collaborations with industry and academia provide valuable guidance as well as real-world insights.
- Insights through Industry Relationships and Networking : Regular industry interactions with top technical and HR experts will surely facilitate great networking opportunities.
- Financial Assistance : Scholarships for meritorious students
- Holistic Experience of Learning : Comprehensive programme incorporating industrial visits, workshops, seminars, and inter-collegiate activities to foster holistic development.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
I |
PM | Data Communication and Security | 4 |
|
I |
PM | Java Programming | 3 |
|
I |
PM | Advanced Database Management System | 3 |
|
I |
PM | Python Programming | 4 |
|
I |
PR | Lab on Java Programming | 1 |
|
I |
PR | Lab on Advanced Database Management System | 1 |
|
I |
UC | Scientific Studies of Mind, Matter, Spirit, and Consciousness | 2 |
|
I |
UC | Yoga | 1 |
|
I |
UC | Research Methodology | 4 |
|
Total |
23 |
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
II |
PM | Advanced Java | 3 |
|
II |
PM | Data Structures and Algorithms | 3 |
|
II |
PM | Statistics and Probability | 4 |
|
II |
PE | Program Elective – I (PE1) | 4 |
|
II |
PE | Program Elective – II (PE2) | 4 |
|
II |
PR | Lab on Advanced Java | 1 |
|
II |
PR | Lab on Data Structures and Algorithms | 1 |
|
II |
PR | Research Paper Writing | 1 |
|
II |
PR | Career Essentials | 1 |
|
II |
UC | Peace Building: Global Initiatives | 2 |
|
Total |
24 |
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
III |
PM | Devops | 3 |
|
III |
PM | Full Stack Development | 3 |
|
III |
PM | Software Testing and Quality Assurance | 3 |
|
III |
PE | Program Elective – III (PE3) | 4 |
|
III |
PE | Program Elective – IV (PE4) | 4 |
|
III |
PR | Lab on Full Stack Development | 1 |
|
III |
PR | Mini Project | 1 |
|
Total |
19 |
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
IV |
PR | Full-time Industrial Internship | 22 |
|
Total |
22 |
| Sr. No | Course Type | Course Name/Course Title |
|---|---|---|
|
II |
Program Elective-I | Data Science and Analytics |
|
II |
Program Elective-I | Mobile Application Development - iOS Programming |
|
II |
Program Elective-I | Next Generation Database |
|
II |
Program Elective-I | Cloud Computing |
|
II |
Program Elective-II | Artificial Intelligence and Machine Learning |
|
II |
Program Elective-II | Advanced Software Development Methodologies |
|
II |
Program Elective-II | Data mining and Data Warehousing |
|
II |
Program Elective-II | Internet of Things |
|
III |
Program Elective-III | Deep Learning and Introduction to NLP |
|
III |
Program Elective-III | Advanced Internet Technology |
|
III |
Program Elective-III | Data Engineering |
|
III |
Program Elective-III | Information Security Audit |
|
III |
Program Elective-IV | Computer Vision & Digital Image Processing |
|
III |
Program Elective-IV | ReactJS |
|
III |
Program Elective-IV | Big Data Analytics |
|
III |
Program Elective-IV | Data Privacy and Security |
Career Prospects
Software Developers
UI/UX & Designers
Security Analysts
Platform Engineers
Network Engineers
Database Administrators
Cloud Engineers
Data Scientists
BI/BW Consultants
Software Tester/ QA Analysts
Business Analyst/ System Analysts
Associate System Engineers
Cloud System Administrators
Full Stack Development Experts
Programme Outcomes
- Apply current technologies and models to solve real-world computing problems effectively.
- Design and execute experiments, analyze data accurately, and draw meaningful conclusions.
- Demonstrate strong leadership, teamwork, analytical skills, and ethical principles to address time-sensitive challenges.
- Communicate ideas clearly, leverage research and current trends to solve industrial problems, and foster a collaborative learning environment that encourages innovation and lifelong learning.
- Understand the broader societal, professional, legal, and ethical implications of technology, and apply this knowledge to your work.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
The core subjects covered in an MCA programme are Programming in C, Data Structures, Database Management Systems, Operating Systems, Software Engineering, and Computer Networks. Other subjects may include Machine Learning, Cloud Computing, and Web Technologies.
MCA programmes curricula are aligned with the rest of the world as far as software development, data structures, and programming languages are concerned, though it can be different in terms of intensity and specific technologies used from those in the USA or UK.
An MCA programme can involve different options for specialising that may include Artificial Intelligence, Data Science, Cyber Security, Software Development, and Cloud Computing. This enables students to be able to specialise in their interests' areas.
Minimum 60% in 3-year Graduation in science stream / BCA from UGC approved Institution or its equivalent (at least 55% marks, in case of Reserved Class category candidate belonging to Maharashtra State only) and should have studied Mathematics as one of the subjects at 12th Class level or graduate level.
admissions@mitwpu.edu.in
