Current developments in Computing, including Information and Communication Technology (ICT),  have created a visible shift in IT-enabled technology and services in the SAARC region. Existing Master’s programmes in Computer Applications provide a limited exposure of emerging inter-disciplinary techniques in governance, finance, life sciences, etc. It is therefore imperative to devise a programme which will balance emerging needs and strengthen the basics of computing techniques. The proposed curriculum is inter-disciplinary in nature and prepares the candidate for higher learning not only in the field of Information and Communication Technology but also in the allied areas of computational sciences, Information Technology enabled management etc. Three important components: analytical tools, computing and computational techniques, and emerging applications have been incorporated. Special care will be taken to keep the students abreast of the current and future trends in the field.

Course Structure for the MCA program

Semester I

Programming Methodology and Problem Solving in C

Continuous Mathematics

Discrete Mathematics

IT Applications in Management

Computer Organization and Architecture

Laboratory work

 Semester II

Data Structures

Data Base Management System

Object Oriented Programming Using C++

Probability and Statistical Computation

Operating Systems

Laboratory  work

Semester III

Algorithm Design and Analysis

Computer Networks

Software Engineering

Computer Graphics

Modelling and Simulation

Laboratory work

Semester IV

Theory of Computation

Internet Technologies

Artifical Intelligence and Machine Learning

Elective - I

Elective - II

Laboratory work

Electives for Semester IV (Choose any 2)

Progamming in JAVA

Software Quality Assurance

Mobile Computing and Networking

Multimedia Systems and Techniques

E-Governance. E-Business and E-Learning

Scientific Computation

Digital Signal Processing

Semester V

Emering Trends in Computing Systems

Image Processing and Pattern Recognition

Cyber Security, IPR and Patents

Elective - III

Elective - IV

Laboratory - V (based on Paper code 502/503 Electrive or any other)

Minor Project

ELECTIVES FOR SEMESTER V (CHOOSE ANY 2)

Data Warehousing and Data Mining

Compiler Design

Soft Computing

Computer based Optimization Techniques

Computational Finance

Computational Biology

Wireless Communication

Semester VI

Technical Communication

Major Project

Seminar

Semester-wise Credits

Semester I                           18

Semester II                          18

Semester III                         18

Semester IV                         18

Semester V                          21

Semester VI                         21

Total Credits                      114