MSc Computer Science

Program Overview

Career Opportunities

After completion of Under Graduate and Post Graduate programmes offered by the department of computer science, the students get the world of opportunities in various categories as follows:

IT organizations
All Banking / Financial institutions
IOT & its development
Firmware development
ITES organizations
Mobile Applications Development
Software / Hardware Entrepreneurship
Teaching / Professional sector
All Governmental positions which need Group-I examinations
Research and Development (R & D) of IT sector

Programme USPs

Most attractive courses with high caliber and lucrative career opportunities in data science and other trending technologies.
A Plethora of career opportunities in various IT Sectors as well as other Government sectors throughout the globe.
Progression to higher studies in various disciplines and Research Programmes in thrust areas.

Programme Outcomes

Upon completion of the programme, the students are expected to have acquired:

An ability to analyze a problem, and identify and define the computing requirements including operating systems appropriate to its solution and apply the knowledge of computing.
An ability to analyze, design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs and to function effectively on teams to accomplish a common goal
An ability to analyze, design the storage and security requirements for software development
Knowledge to develop online as well as offline projects having remote access to databases and programs and expertise in the current trends or latest industry needs

Eligibility Criteria

A Pass in B.Sc. Computer Science / B.C.A. /B.Sc. Computer Technology / B.Sc. Information Technology / B.Sc. Software Systems/ B.Sc. Information Sciences / B.Sc. Information System / B.Sc. Software Systems / B.Sc. Software Sciences / B.Sc. Applied Sciences.

Programme Duration

2 YEARS (4 SEMESTERS)

Programme Type

Regular

Programme Structure

SEMESTER I

Design and Analysis of Algorithms
Wireless Networks
Machine Learning
Advanced Java Programming
Advanced Java Programming Lab
Modular: Module I – Course I:Advanced Excel
Modular: Module I – Course II:Advanced Excel Lab

SEMESTER II

Advanced Operating System
Artificial Intelligence and Expert Systems
Big Data Analytics
Python Programming
Python Programming Lab
Modular: Module II – Course I: LaTeX
Modular: Module II – Course II: LaTeX Lab

SEMESTER III

Natural Language Processing
Network Security
Cloud Computing
Linux Programming
Linux Programming Lab
Modular: Module II – Course III: I/UX Design
Modular: Module III – Course I:UI/UX Design Lab

SEMESTER IV

Data Visualization
Knowledge Management
Research Methodology
Project
Modular: Module III – Course II:MATLAB
Modular: Module III – Course III:MATLAB Practicals

Credits & Evaluation

Semester-wise/ year-wise
Date of the last semester-end / year-end (for non-semester) examinations
Date of declaration of results of semester-end/ year-end examinations
Number of days taken for declaration of results for semester-end/ year-end examinations