Master of Computer Applications - General offered by Centre for Open and Digital Education
- A NAAC accredited
Master of Computer Applications - General at Centre for Open and Digital Education Overview
Duration | 24 months |
Total fee | ₹90,000 |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Master of Computer Applications - General at Centre for Open and Digital Education Highlights
- Earn a degree after completion of the course
- Fee can be paid in instalments
- Learn from industry expert faculty
Master of Computer Applications - General at Centre for Open and Digital Education Course details
The Master of Computer Application program aims to equip learners with knowledge and skills in the competitive software development and computer application field
It is a 2 year postgraduate program and trains students to take up challenging roles in the computer science and technology sector
The program is designed for students who want to excel at developing computer applications using contemporary cutting-edge programming languages
The industry integrated curriculum enhances the knowledge and skills of students in developing modern software through use of sophisticated tools and techniques
Master of Computer Applications - General at Centre for Open and Digital Education Curriculum
Semester I
Advanced Data Structures & Algorithms using Python
Statistics for Computer Science
Database Technology
Object Oriented Programming Using JAVA
Computer Networks
Practical – Software Design Project
Software Design Project
Semester II
Web Design and Development
Data Warehousing and Data Mining
Machine Learning
Software Engineering
Elective-1(Electives)
Practical – Software Design Project
Practical: Web Programming Lab
Semester III
Software Testing and Quality Assurance
DevOps
MOOC (Electives)
Elective -2 (Electives)
Elective -3 (Electives)
Practical: Presentation Skills and Academic writing
Project: Project Phase-I
Semester IV
Elective-4 (Electives)
Personality Development
Project: Project Work - Phase – II
Elective I
Web analytics
Big Data Analytics
Elective II
R Programming
Big Data Analytics
Elective IV
Data Classification Methods and Evaluation
Principles of Deep Learning
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