Online Master of Computer Applications
(MCA)
Programme Overview
The 2-year online MCA degree program from Chandigarh University Online is offered in specializations like AI/ML, Cloud Computing, Full Stack Development, and Data Analytics that help learners get complete focus on System Programming, Database Management, Networking, Web-Designing and Artificial Intelligence. The broad objective of our Online Master of Computer Applications programme is to prepare the learners for the IT industry with global competence in cutting-edge technologies like Cloud Computing, Android Applications, Data Analysis, CSS, JavaScript, HTML, Python, Java, PHP, and many others, which gradually propel them in their career growth.
Minimum Eligibility
A candidate shall have passed the qualifying examination of BCA/ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) or passed any graduation degree (e.g.: B.E/ B.Tech / B.Sc. / B.Com. / B.A/ B.Voc) with Mathematics, Business Mathematics, Programming or Statistics at 10+2 level or at Graduation level.
Specialisation
- Cloud Computing
- Full Stack Development
- Data Analytics
- Artificial Intelligence and Machine Learning
Did you know?
82% of online degree graduates find their investment worthwhile for boosted earning potential & career growth.
Programme Scheme
Subjects | Credits |
---|---|
Advanced Database Management System | 4 |
Advanced Computer Networks | 4 |
Web Programming | 4 |
Python Programming | 4 |
Network Security and Cryptography | 4 |
Subjects Credits
Advanced Internet Programming 4
Design and Analysis of Algorithms 4
Software Testing 4
Web Application Development 4
Cyber Security 4
Elective: Cloud Computing
Subjects | Credits |
---|---|
Introduction to Cloud Computing | 4 |
Introduction to Amazon Web Services | 4 |
Introduction to Microsoft Azure services | 4 |
Cloud Programming | 4 |
Cloud Virtualization | 4 |
Elective: Full Stack Development
Subjects | Credits |
---|---|
HTML, CSS and Javascript | 4 |
User Interface, Experience, Design | 4 |
DevOps -1 (GIT, Jenkins, Docker) | 4 |
Software Architecture | 4 |
Prototyping | 4 |
Elective: Data Analytics
Subjects | Credits |
---|---|
Data Analytics Using Python | 4 |
SQL for Data Analytics | 4 |
Web Analytics | 4 |
Digital Media Analytics | 4 |
IOT and Data Analytics | 4 |
Elective: Artificial Intelligence and Machine Learning
Subjects | Credits |
---|---|
Machine Learning in Python | 4 |
Statistics and Python in Machine Learning | 4 |
Business Application of Machine Learning | 4 |
Deep Learning and NLP | 4 |
Web, Social Analytics and Visualization | 4 |
Elective: Cloud Computing
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 | 4 |
Subject as per Elective taken in Semester 3 | 4 |
Major Project | 12 |
Elective: Full Stack Development
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 | 4 |
Subject as per Elective taken in Semester 3 | 4 |
Major Project | 12 |
Elective: Data Analytics
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 | 4 |
Subject as per Elective taken in Semester 3 | 4 |
Major Project | 12 |
Elective: Artificial Intelligence and Machine Learning
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 | 4 |
Subject as per Elective taken in Semester 3 | 4 |
Major Project | 12 |