-
Duration
2 years
-
Eligibility
Graduation in any Stream
with 48%
-
Selection Procedure
Merit + Personal Interview
Program Outcomes
Advanced Knowledge of Computing Concepts
Master core computing principles and complex technology frameworks.
Proficiency in High-Level Programming and Tools
Develop expertise in advanced programming languages and software tools.
Research and Analytical Skills
Hone skills in conducting research and analyzing technical data.
System and Application Design
Learn to design efficient, scalable systems and software applications.
Project Management and Leadership Skills
Lead projects effectively, managing timelines and team collaboration.
Understanding of Emerging Technologies
Stay updated on new tech trends like AI, ML, and cybersecurity.
Problem-Solving and Critical Thinking
Apply logical thinking to solve intricate technology challenges.
Software Development and Deployment Expertise
Build, test, and deploy software applications efficiently.
Interdisciplinary and Cross-Functional Knowledge
Integrate insights from multiple fields for innovative solutions.
Ethical and Social Responsibility
Understand ethical issues and social impacts in tech applications.
Lifelong Learning and Adaptability
Cultivate flexibility and a mindset of continuous learning in tech.
Career Paths

Software Engineer

Data Scientist

System Analyst

Database Administrator

IT Consultant

Web Developer

Cloud Architect

Cyber Security Specialist

Network Engineer

Project Manager (IT)
Curriculum
| Course Category | Course Title | Credits |
|---|---|---|
| CORE | Object Oriented Programming with C++ and JAVA | 3 |
| CORE | Database Management System | 3 |
| CORE | Computer Graphics | 3 |
| CORE | Information and Network Security | 3 |
| VAC | Management Process and Organizational behaviour with Environmental Ethics | 3 |
| SEC | Advance Data Structure and Algorithm Analysis | 3 |
| OGE1 | OGE1* | 2 |
| CORE | Object Oriented Programming with C++ and Java Lab | 2 |
| CORE | Database Management System | 1 |
| CORE | Computer Graphics Lab | 1 |
| SEC | Advance Data Structure and Algorithm Analysis Lab | 2 |
| CORE | Introduction to Cyber Security (Cyber Security Specialization Only) | 3 |
| CORE | Overview of Data Science, AI, Ethics and Foundation of Data Analysis (AIML Specialization Only) | 4 |
| |
Total Credit | 33 |
| Course Category | Course Title | Credits |
|---|---|---|
| CORE | Web Technology | 3 |
| CORE | Software Engineering | 3 |
| CORE | Theory of Computation | 3 |
| CORE | Computer Based Optimization Techniques | 3 |
| CORE | Microprocessor & Assembly Language Programming | 3 |
| SEC | E-Commerce and Digital Marketing | 3 |
| OGE2 | OGE2* | 2 |
| CORE | Web Technology Lab | 2 |
| CORE | Software Engineering Lab | 2 |
| CORE | Microprocessor Lab | 1 |
| AEC | Seminar | 1 |
| CORE | Network Security Design & Implementation (Cyber Security Specialization Only) | 3 |
| CORE | Data Analytics using Python (AIML Specialization Only) | 3 |
| CORE | Probabilistic Modeling and Reasoning with Python (AIML Specialization Only) | 3 |
| |
Total Credit | 35 |
| Course Category | Course Title | Credits |
|---|---|---|
| CORE | Compiler Design | 3 |
| CORE | .NET Framework and ASP.NET | 3 |
| CORE | Introduction to Artificial Intelligence and Machine Learning | 3 |
| DSE | Android Programming Internet of Things Advance Database Concepts |
3 |
| DSE | Cloud Computing Big data Analytics Mobile Computing |
3 |
| OGE3 | OGE3* | 2 |
| CORE | .NET Lab | 2 |
| CORE | Artificial Intelligence Lab using Python Lab | 1 |
| CORE | Summer Training Presentation | 1 |
| DSE | Android Programming Lab Internet of Things Lab Advance Database Concepts Lab |
2 |
| AEC | Communication & Soft Skills | 1 |
| CORE | Application Security Testing and Audit (Cyber Security Specialization Only) | 3 |
| CORE | Machine Learning and Pattern Recognition (AIML Specialization Only) | 3 |
| CORE | R Programming for Data Science and Analysis (AIML Specialization Only) | 3 |
| |
Total Credit | 33 |
| Course Category | Course Title | Credits |
|---|---|---|
| CORE | Industrial Training | 20 |
| CORE | Research Paper Publication | 5 |
| |
Total Credit | 25 |
Tuition Fee
₹92100
Note
*Lab & Library fee will be charged separately
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Frequently Asked Questions
The students who have passed BCA,B.Sc(CS/IT) will be eligible for 2 Years MCA program like BA,B.Sc,BBA will also be eligible for 2 year MCA other under-graduate programmes if they cleared the bridge course specified by AICTE.PGDCA student will also be eligible for 2 Yrs MCA.
- Software Developer
- web-designer
- Tester
- System Analyst
- DBA
- Business Analyst
The students who have passed BCA,B.Sc(CS/IT) will be eligible for 2 Years MCA program. Rest graduations like BA,B.Sc,BBA will also be eligible for 2 year MCA if they passes the bridge course specified by AICTE.PGDCA Pass students will also be eligible for 2 Yrs MCA.
- Regular classes
- Updated syllabus
- Workshops and guest lectures on latest trends
- Tie-ups with industry.
- Collobratory courses like : Cyber Security, Cloud Computing, Artificial Intelligence.
- Red Hat academy courses at University premises.
Yes, there are three categories of Scholarship provided by Institute
- Early Bird Scholarship (By University).
- Meritorious Scholarship.(Above 60%)
- Students who takes admission in PG after completing UG from this university only.
- Government scholarship(SC,ST)
- Students who secure first, second rank in University exam respectively every year.
- Special scholarship to ward of army personnel
Yes, at least once in a month.
After MCA student will be eligible for M.Tech and Ph.D also
Yes, Cybersecurity ,Cloud computing ,Artificial Intelligence
Workshops, Seminars and guest lectures on latest technologies
After filling registration, the students have to undergo a written test and on the basis of that test and a Personal Interview, selection is made.
More than 70%, rest proceed for higher studies and entrepreneurship
Max package is 6.2 Lacs per annum and min is 2.5 lacs
Approved from AICTE .
To be eligible for the program the applicants must have a Bachelor’s degree with at least 50% aggregate marks. Additionally, students must have studied Mathematics either at the 10+2 level or during their undergraduate program. This ensures that applicants have the foundational knowledge necessary for the rigorous technical coursework in the program. The criteria aim to attract students with an analytical background, which is crucial for success in advanced computing studies.
The program typically spans two years for students who have a relevant undergraduate background, such as a BCA or a degree in a related field. For students without a strong background in computer science, some universities offer a three-year version of the MCA, including foundational courses. This structure helps ensure that all students gain a solid grounding in essential computing concepts, regardless of their prior educational background, while maintaining a focused path to graduation.
The curriculum encompasses a wide range of advanced computing subjects. Core topics include Advanced Programming, Artificial Intelligence, Machine Learning, Database Systems, Cloud Computing, and Cyber Security. These subjects equip students with the technical knowledge and skills essential for tackling real-world challenges in various tech domains. Additionally, the curriculum may include electives on emerging technologies, industry case studies, and project-based learning to prepare students for dynamic careers in IT and software development.
Yes, internships and projects are integral components of the program. These practical experiences provide students with hands-on exposure to industry environments, enabling them to apply theoretical knowledge in real-world settings. Internships often involve working with IT companies on live projects, which help students understand industry practices and trends. Completing projects allows students to specialize in areas of interest, enhancing their skills and making them more marketable to prospective employers after graduation.
The graduates have excellent job prospects across various roles in the IT sector. Career options include Software Engineer, Data Scientist, Systems Analyst, IT Consultant, Network Engineer, and Project Manager, among others. The programs comprehensive curriculum and practical training equip students with in-demand technical skills and industry exposure, making them valuable assets in the job market. Graduates can find opportunities in sectors such as Software Development, Data Analysis, Cyber Security, and consulting.
Yes, it has a dedicated placement cell that provides comprehensive placement support graduates. The placement team organizes campus recruitment drives, helping students connect with leading companies. The placement cell also arranges Workshops, Mock Interviews, and networking events to enhance students' employability skills and increase their chances of landing promising roles. By fostering relationships with employers, the placement cell ensures that graduates have access to numerous job opportunities upon completing their program.
The students shall receive extensive industry exposure through a variety of opportunities. The program includes Workshops, Industry Seminars, and Guest Lecturers from IT professionals and partnerships with tech companies. These initiatives enable students to stay updated on industry trends, gain insights into real-world applications, and develop professional connections. Additionally, internships and live projects in collaboration with industry partners allow students to gain practical experience, strengthening their skills and preparing them for competitive tech roles.
Yes, after completing the program, students have the option to pursue a Ph.D. It provides an opportunity for those interested in research and academia to deepen their expertise in a specialized area of computer science. This path is ideal for students who want to contribute to academic research, engage in high-level technical projects, or pursue careers as university faculty or research scientists in industry.
The program is offered in an on-campus format, providing students with access to university resources, state-of-the-art labs, and interactive classroom learning. The program may also incorporate online learning options for certain elective courses or additional certifications, providing flexibility. The on-campus mode fosters a collaborative environment where students can engage with faculty and peers, work on group projects, and utilize the universitys’facilities for a comprehensive educational experience.
Yes, It offers scholarships to eligible students based on merit, financial need, and reserved category status. These scholarships aim to make quality education accessible and support students in achieving their academic goals. Merit-based scholarships reward academic excellence, while need-based scholarships help students from financially challenged backgrounds. The university provides details on scholarship applications and criteria, encouraging students to apply and reduce their financial burden during their studies.
















