- Duration
- 2 years / 4 semesters
- Entry requirements
- Computing/IT graduates, or graduates with Mathematics, Business Mathematics, Programming or Statistics at Class 12 or graduation, as specified by CU.
- Study format
- Online learning combines self-study materials with scheduled academic activities.
- Assessment
- Online proctored examinations; follow the university’s assessment instructions and announced schedule.
What you will study
Selected subject highlights from the saved programme information. Semester order and elective choices depend on the selected pathway.
- Advanced Database Management System
- Advanced Computer Networks
- Web Programming
- Python Programming
Subjects and pathways within this degree
Cloud Computing
Explore computing services that run across connected infrastructure and the controls needed to operate them reliably. A strong foundation includes networking, permissions, deployment and troubleshooting.
- Introduction to Cloud Computing
- Introduction to Amazon Web Services
- Introduction to Microsoft Azure services
Full Stack Development
Connect the interface a user sees with the services and data behind it. Building complete applications encourages attention to usability, data handling, testing and how components communicate.
- HTML, CSS and Javascript
- User Interface, Experience, Design
- DevOps -1 (GIT, Jenkins, Docker)
Data Analytics
Turn data into an explanation that a decision-maker can use. The central challenge is framing the right question, checking data quality and communicating what a result does and does not show.
- Data Analytics Using Python
- SQL for Data Analytics
- Web Analytics
Artificial Intelligence and Machine Learning
Explore how intelligent systems can assist with analysis and decision-making. The practical questions include choosing a suitable task, checking the quality of outputs and understanding the limits of automation.
- Machine Learning in Python
- Statistics and Python in Machine Learning
- Business Application of Machine Learning
Agentic AI
Study software systems that coordinate steps, tools and models to perform tasks. Designing such systems requires clear goals, evaluation and oversight so an automated workflow remains useful and predictable.
- Advanced NLP & Language Model
- Agentic AI & Multi-Agent Systems
- RAG Systems & Knowledge Engineering
Make the degree work for your goals
For graduates who meet the university’s computing or mathematics prerequisites. A programme may distinguish BCA/computer-science graduates from other applicants.
- Software problem-solving
- System and database design
- Technical analysis and documentation
- Project delivery and testing
Develop a substantial application or a focused technical investigation. Document requirements, design choices, security considerations and test results.
Your learning and assessment experience
Online learning combines self-study materials with scheduled academic activities.
University learner support and academic resources accompany the programme.
Online proctored examinations; follow the university’s assessment instructions and announced schedule.
Where this learning can take you
- Subject-related entry roles
- Further study
These are possible areas to explore, rather than promised placements or salaries. Your practical skills, previous experience and any additional professional requirements matter.
Plan the full commitment.
Talk through tuition, examination charges and instalment or EMI options for your chosen programme. Financing eligibility and provider terms apply.
From shortlist to application
- Choose the exact degree and subject pathway that match your goals.
- Match your qualifications to the programme’s entry requirements.
- Review the full fee quotation, academic calendar and refund terms.
- Use the university’s application process to submit documents and retain your admission confirmation.
Questions about this choice
What will I study in Master of Computer Applications?+
Study advanced computing subjects, then specialise through electives and a capstone project.
How should I plan study around work?+
Online learning combines self-study materials with scheduled academic activities. Reserve regular time for independent study and assessments, and compare the academic calendar with your working week.
Does career support guarantee a job?+
No. Use career services to prepare applications, practise interviews and build evidence of your skills. Employers make hiring decisions.
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