Master of Science

Data Science and Analytics


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


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.


Program code: 044
Course code : 4417
Course Commencement : Sep 2024

Study Campus

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

Admissions Office

JAIN Knowledge Campus, #44/4, District Fund Road,
Jayanagar 9th Block Campus,
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.