MCA
Programme Overview
The Master of Computer Applications (MCA) programme at MIT World Peace University (MIT-WPU) is designed to develop highly skilled computing professionals with a strong foundation in computer science, advanced software technologies, and applied research. The programme nurtures a research-oriented mindset while equipping students with the knowledge and competencies required to address emerging technological challenges and industry demands.
The curriculum seamlessly integrates the principles of computer science and engineering with real-world applications, enabling students to gain hands-on experience in designing, developing, and deploying innovative software solutions. Students are exposed to contemporary tools, technologies, and industry practices through a comprehensive curriculum covering Internet Technologies, Artificial Intelligence and Machine Learning, Data Science and Analytics, Mobile Application Development, Advanced Database Systems, Cloud Computing, Programming Languages, Computer Science Fundamentals, and Agile and Scrum methodologies.
The programme emphasizes experiential learning through industry internships, live projects, research activities, hackathons, and collaborations with leading organizations. These opportunities provide valuable industry exposure, enhance problem-solving abilities, and significantly improve students' employability and career readiness.
Upon successful completion of the programme, graduates will be able to conceptualize, design, develop, implement, and manage scalable, secure, and intelligent software systems while demonstrating strong analytical, research, leadership, and entrepreneurial capabilities.
Major Tracks
- Artificial Intelligence and Machine Learning
- Data Science and Analytics
- Cloud Computing
- Mobile Application Development
- Database Systems, Data Warehousing, and Data Mining
- Software Engineering and Advanced Development Methodologies
Duration & Fees
Duration
2 Years
Applications closed
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 online Computer-Based Test (CBT) score and Graduation Aggregate 80 Percentage.
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/ BCAScience 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 MIT-WPU as per the prescribed schedule.
Programme Highlights
- Integration of AI tools in pedagogy and evaluation
- Mapping of the curriculum with global certifications (e.g., NASSCOM, NPTEL)
Unique Selling Point (USP)
- Future-ready technologies rather than legacy computing.
- Research and innovation, aligning with MIT-WPU's academic vision.
- Experiential and project-based learning, which employers value.
- Industry engagement and certifications, enhancing employability.
- Entrepreneurship and leadership, extending beyond technical skills.
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 Development Engineer
Full Stack Developer
Artificial Intelligence & Machine Learning Engineer
Data Scientist / Business Intelligence Analyst
Cloud & DevOps Engineer
Cybersecurity Analyst
Software Quality Assurance & Test Automation Engineer
IT Consultant / Digital Transformation Consultant
Technology Entrepreneur / Startup Founder
Programme Outcomes
- Students will be able to apply fundamental knowledge of Computing, Mathematics, Science, and Engineering appropriate to the discipline.
- Students will be able to analyse a problem, identify and formulate the computing solution(s) with appropriate model.
- Students will be able to analyse the local and global impact of computing on individuals, organizations, and society.
- Students can understand the professional, ethical, legal, security and social issues and responsibilities.
- Students can achieve continuous professional development through long- term learning.
- Students can understand engineering and management principles and apply these to one’s own work, as a member and a leader in a team, to manage projects.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
The Master of Computer Applications (MCA) is a two-year postgraduate programme divided into four semesters.
Graduates with the prescribed eligibility criteria as per the university and regulatory guidelines can apply. Candidates should refer to the latest admission brochure for detailed eligibility requirements.
The programme offers advanced learning in areas such as Artificial Intelligence & Machine Learning, Cloud Computing, Data Science & Analytics, Advanced Software Development, Next Generation Databases, Mobile Application Development, and Data Warehousing & Mining.
Yes. Students undertake industry-relevant projects, mini-projects, capstone projects, and practical assignments to gain real-world experience.
Yes. Students are encouraged to undertake internships with reputed organizations to gain hands-on industry exposure.
Students gain proficiency in programming languages such as Python, Java, JavaScript, SQL, and other modern technologies depending on the specialization.
Yes. The curriculum incorporates AI, Machine Learning, Cloud Computing, Data Analytics, Cybersecurity, DevOps, and other emerging technologies.
Students have access to modern computer laboratories equipped with high- performance systems, software, cloud platforms, and development tools.
Yes. The programme emphasizes practical learning through coding sessions, laboratories, hackathons, case studies, and project-based learning.
Graduates can pursue careers as Software Engineers, Full Stack Developers, AI/ML Engineers, Data Scientists, Cloud Engineers, DevOps Engineers, Cybersecurity Analysts, IT Consultants, and Entrepreneurs.
Yes. The university provides placement assistance through campus recruitment, industry interactions, career guidance, aptitude training, and interview preparation.
admissions@mitwpu.edu.in
