Postgraduate
Level
2 Years
Duration
₹ 1.10L / ₹ 1.50L
Merit / Management Quota
60% marks
Sr. Secondary (10+2)
Overview
The Department of Computer application is established with the objective of imparting quality education in the field of Computer science and applications which strives to shape outstanding computer professionals.
The Department has modern facilities for teaching, learning and research. The Department offers a wide range of research opportunities and programs of study at undergraduate and postgraduate level. The training imparted aims to prepare young minds for the challenging opportunities in the IT industry with a global awareness supported by experts in the field of Computer Science.
The programs of the department are designed to equip students with problem-solving ability, programming proficiency, and system design skills, enabling them to build reliable and scalable software and computing solutions.
Eligibility
Any Graduation (Preferably with Maths at 10+2/UG level)
Teaching Pedagogies
The Master of Computer Applications (MCA) programs at Kishkinda University adopt innovative, technology-driven, and industry-oriented teaching pedagogies to develop students’ expertise in computer applications, software development, programming, and emerging technologies. The teaching-learning process combines theoretical concepts with practical implementation to prepare students for careers in IT industries, software development, research, and entrepreneurship.
- Interactive Classroom Teaching
- Project-Based Learning
- Experiential Learning
- Outcome-Based Education (OBE)
- Case Study and Problem-Solving Methods
- Industry Interaction and Expert Sessions
- Collaborative Learning and Team Projects
- Research and Innovation-Oriented Learning
- Continuous Evaluation and Skill Assessments
Interactive Classroom Teaching

Interactive Classroom Teaching
Concept-oriented lectures using smart boards, multimedia presentations, coding demonstrations, and active student participation for effective understanding of computing concepts.
Project-Based Learning
Experiential Learning
Outcome-Based Education (OBE)
Case Study and Problem-Solving Methods
Industry Interaction and Expert Sessions
Collaborative Learning and Team Projects
Research and Innovation-Oriented Learning
Continuous Evaluation and Skill Assessments
Specialization
Program Educational Objectives (PEOs)
PEO - 1
Graduates will build successful careers in software development, data analytics, AI/ML, and application engineering by demonstrating strong technical skills and adaptability to emerging technologies.
PEO - 2
Graduates will apply computer application knowledge, tools, and practices with professionalism, ethics, teamwork, and effective communication to address organizational and societal needs.
Program Outcomes (PO)
PO - 1
Engineering Knowledge: Apply principles of mathematics, natural sciences, computing, engineering fundamentals, and specialized engineering knowledge to develop solutions for complex engineering problems
PO - 2
Problem Analysis: Identify, formulate, and analyse complex engineering problems by reviewing research literature and drawing well-founded conclusions, while considering sustainable development.
PO - 3
Design/Development of Solutions: Design innovative solutions for complex engineering problems and develop systems, components, or processes that address identified needs, considering public health and safety, whole-life cost, net-zero carbon goals, culture, society, and environmental impact.
PO - 4
Engineering Tool Usage: Develop, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, while recognizing their limitations in solving complex engineering problems.
PO - 5
Individual and Team Collaboration: Work effectively both independently and as a member or leader in diverse, multidisciplinary teams.
PO - 6
Project Management and Finance: Apply engineering management principles and economic decision-making to one’s work, effectively managing projects and contributing as both a team member and leader in multidisciplinary environments.
PO - 7
Ethics: Uphold ethical principles, demonstrate commitment to professional integrity, respect human values, and promote diversity and inclusion while adhering to national and international laws.
PO - 8
Life-Long Learning: Acknowledge the importance of continuous learning and
cultivate the skills necessary for:
i) Independent and sustained self-improvement,
ii) Adaptability to evolving and emerging technologies, and
iii)Critical thinking in the broader landscape of technological advancements
Program Specific Outcomes (PSO)
PSO - 1
Students will design, develop, and manage software solutions using core computing technologies, including Python, R, DevOps tools, and CI/CD workflows.
PSO - 2
Students will apply Al and ML techniques to model, analyze, and solve complex real-world problems across multidisciplinary domains.
PSO - 3
Students will apply data science methodologies to enhance organizational decision-making and strategic planning.
Scholarship
Kishkinda University supports eligible students in availing Government Scholarships through recognized portals such as SSP (State Scholarship Portal) and NSP (National Scholarship Portal). Students who meet the eligibility criteria can apply directly through these official portals and complete the scholarship process as per government guidelines.
Available Scholarship Portals
SSP – State Scholarship Portal
For students eligible under Karnataka State Government scholarship schemes.
NSP – National Scholarship Portal
For Central Government scholarship schemes applicable across India.
How to Apply
-
01
Visit the official SSP or NSP portal.
-
02
Register with required academic and personal details.
-
03
Upload necessary documents (income certificate, caste certificate, marks cards, Aadhaar, etc.).
-
04
Submit the application online within the specified deadline.
-
05
Submit acknowledgment copy to the University Scholarship/Accounts Section (if required).
Career Prospects
Core Career Opportunities
- Software Developer / Engineer
- System Analyst
- Database Administrator
- Web and Mobile Application Developer
- Network Administrator
Emerging Technology Domains
- Artificial Intelligence and Machine Learning
- Data Science and Big Data Analytics
- Cloud Computing and DevOps
- Cyber Security
- Internet of Things (IoT)
Industry and Employment Opportunities
- IT and Software Companies
- Product-based Companies
- Startups and Tech Firms
- Banking and Financial Institutions
- Government and Public Sector Organizations
Higher Studies and Research
- PhD in Computer Science / IT
- Advanced Certifications (Cloud, AI, Cyber Security, Data Science)
Entrepreneurship and Other Paths
- Software Startups and Product Development
- Freelancing and Consulting
- Teaching and Academia
- Technical Content Creation
FAQ's
MCA is a postgraduate program focused on advanced computer applications, software development, and IT technologies.


