MSc Data Analytics

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 any Bachelor’s degree of minimum 3 years duration with Mathematics or Statistics as any one of the subjects at Graduate level

Programme Duration

2 YEARS (4 SEMESTERS)

Programme Type

Regular

Programme Structure

SEMESTER I

Principles of Data Science
Mathematics for Data Analytics
Design and Analysis of Algorithms
Python Programming
Python Programming lab
Modular: Module I – Course I: Advanced Excel
Modular: Module I – Course II: Advanced Excel Lab

SEMESTER II

Advanced Database Management Systems
Operations Research
Data Analytics using R
Machine Learning
Advanced DBMS Lab
Programming Lab in R
Modular: Module II – Course I: LaTeX
Modular: Module II – Course II: LaTeX Lab

SEMESTER III

Cloud Computing
Multivariate Analysis
Big Data Frameworks and Tools
Big Data Tools Lab
Mini Project
Modular: Module II – Course III : UI/UX Design
Modular: Module III – Course I: UI/UX Design Lab

SEMESTER IV

Data Visualization
Data Visualization Lab
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