Online Master of Computer Applications (Online MCA)

About Online MCA

The 2-year online MCA degree program from C.U. 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.

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.

Minimum Duration

2 years (4 Semesters)

Programme	Fee Structure	Fee After 25% EBD discount
Online Master of Computer Applications (Online MCA) Programme Rs. 1,20,000/- Programme fee after 25% Early Bird Discount Rs. 90,000/-
	Per Semester Fee	Rs. 22,500/-
	Annual Payment	Rs. 45,000/-
	Total Fee	Rs. 90,000/-

NOTE:

One time new admission prospectus fee : Rs. 500/- (at the time of admission) *this amount is not refundable

No Cost EMI Available

Specialization in Online MCA

• Cloud Computing
• Full Stack Development
• Data Analytics
• Artificial Intelligence and Machine Learning

COURSE CURRICULUM

• Advanced Database Management System
• Advanced Computer Networks
• Web Programming
• Python Programming
• Network Security and Cryptography

• Advanced Internet Programming
• Design and Analysis of Algorithms
• Software Testing
• Web Application Development
• Cyber Security

SPECIALISATION/ ELECTIVE	COURSE NAME
Cloud Computing	Introduction to Cloud Computing
	Introduction to Amazon Web Services
	Introduction to Microsoft Azure services
	Cloud Programming
	Cloud Virtualization
Full Stack Development	HTML, CSS and Javascript
	User Interface, Experience, Design
	DevOps -1 (GIT, Jenkins, Docker)
	Software Architecture
	Prototyping
Data Analytics	Data Analytics Using Python
	SQL for Data Analytics
	Web Analytics
	Digital Media Analytics
	IOT and Data Analytics
Artificial Intelligence and Machine Learning	Machine Learning in Python
	Statistics and Python in Machine Learning
	Business Application of Machine Learning
	Deep Learning and NLP
	Web, Social Analytics and Visualization

SPECIALISATION/ ELECTIVE

SPECIALISATION/ ELECTIVE	COURSE NAME
Cloud Computing	Subject as per Elective taken in Semester 3
	Subject as per Elective taken in Semester 3
	Major Project
Full Stack Development	Subject as per Elective taken in Semester 3
	Subject as per Elective taken in Semester 3
	Major Project
Data Analytics	Subject as per Elective taken in Semester 3
	Subject as per Elective taken in Semester 3
	Major Project
Artificial Intelligence and Machine Learning	Subject as per Elective taken in Semester 3
	Subject as per Elective taken in Semester 3
	Major Project