Data Science and Analytics I JAIN (Deemed-to-be University)

Master of Science

Data Science and Analytics

Eligibility

Candidates should have a minimum of 50% in their graduation, in any one of the following -

Data science/Analytics
Mathematics
Statistics
Computer Science/Applications

Programming knowledge is a pre-requisite for this programme

Overview

M.Sc DSA, basically focuses on analysing and manipulating the data and deals with various important principles of Data Analytics. This programme provides a wide number of opportunities to the students.

In this programme, students also specialise in the various security measures so that the data is transferred among the systems in a highly secured and protected way. The course will help the students to develop analytical, logical, and managerial skills to implement the business intelligence.

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Program code: 044

Course code : 4417

Course Commencement : Sep 2024

[email protected]

Study Campus

School of Sciences
#34, 1^st Cross,
JC Road, Bamgalore-560027
P: +91 80 43430100

Admissions Office

JAIN Knowledge Campus, #44/4, District Fund Road,
Jayanagar 9th Block Campus,
Bangalore-560069
P: +91 8951362413

Curriculum Structure

Core Courses

Mathematical Methods for Data Science
Applied Probability and Distributions

Skill Courses

Artificial Intelligence
DBMS for Analytics

Open Elective – 1

Basic Astronomy
Stress and Health

Learning Labs

Mathematical Methods for Data Science Lab
Applied Probability Distributions Lab
Artificial Intelligence Lab
DBMS for Analytics Lab

Core Courses

Multivariate Data Analysis
Machine Learning Techniques
Design of the Project
PCL I – Research and Entrepreneurship Project

Skill Courses

Essential Statistical Inference
Advanced Data Visualization

Open Elective – 2

Forensic Psychology
Robotics

Learning Labs

Multivariate Data analysis Lab
Machine Learning Techniques Lab
Essential Statistical Inference Lab
Advanced Data Visualization Lab

Core Courses

Enterprise Guide to Data Ops and ML Ops
Deep Learning
Project Advancement

Skill Courses

Big Data Analytics
Data Analytics with SAS
Computer Vision and Image Analytics
Data Cleaning

Learning Labs

Enterprise Guide to Data Ops and ML Ops Lab
Deep Learning Lab
Project Advancement Lab
Big Data Analytics Lab
Data Analytics with SAS Lab
Computer Vision and Image Analytics Lab
Data Cleaning Lab

Project - I

Core Courses

Data Security

Skill Courses

IOT
Time Series Analytics
NLP
Regression
Project-Dissertation
PCL
Internship

Course Highlights

To make the candidates well versed in solving real-world problems by giving them exposure to high-dimensional data needed for their growth to make them good software professionals, research scientists, and data scientists and analysts.
To train them to build decision-making models and propose solutions for real-life business scenarios.
To meet the requirements of the industries, we are focusing on making them industry ready as upcoming Data Scientists and Analysts.
The students are provided with enough opportunities to improve their skills related to Data science which are in demand in the current industry.
Learn to apply the statistical, machine learning, and deep learning models with programming languages like Python and R, and will also learn some in-demand technologies like Tableau, SAS, SPSS, etc.

Career Enhancement Programs

Career enhancement programs are conducted according to the demand that arises in the current industry. The teachers and students work with enthusiasm towards the objectives of the program. Evaluation is based on tests, seminars, projects, publications, presentations, and examinations done by the students. We conduct various types of events like Conferences, Workshops, Seminars, Corporate training, and other programs to develop their skills which in turn will make them industry ready.

Career Outcomes

Data Science and Analytics is a very good career with numerous opportunities for progression in the future. Businesses across industries have realized the importance of using data, which has led to a growing demand for data science professionals. The Data Scientist career has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor. Data scientists can work in a variety of industries, including IT, Education, healthcare, Business, Research, etc., and can have a variety of professions and functions. Depending on the skills one possesses, they can work as Data Scientist, a Data Engineer, Data Analyst, or Big Data Manager

With a Master’s degree in Data Science and Analytics, there are numerous options, some of them include Data Analysts and Data scientist. Interested students can pursue a Ph.D, or research work in the domain of data science. Survey says by the year 2026 2.6 million of data scientists will be needed by the world.

Master of Science