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Computer Science Engineering

M.Tech. in Data Science

Why take this course?

The need for studying data science as a formal degree program has seen an exponential growth in the last decade. It is mostly inflamed by explosion of huge volume and variety of data generated by the use of Internet surfing, extensive penetration of online shopping, use of mobile networks, medical industry and the social media. Data Science plays a vital role in ensuring the proper decision making in the process of developing the businesses. Today data science has become an indispensable division in any business organization either in private or in government sectors. Hence, the achievement of any project of private or government sectors solely relies on analytics based decision making process done by skilled data science professionals.

What will I experience?

M. Tech in Data Science integrates learning of fundamental concepts and advanced technical aspects in Data Science. It provides a platform to understand the application of concepts through practical experiments and aims to place career in Data Science on a higher growth

This program incorporates a structured roadmap to enable students to be future ready for a career as an industry professional or continue with doctoral research

This program includes the following subject matters as core subjects along with relevant choices of subjects as electives : Statistics and Probability; Statistical Inference; Machine Learning; Big Data Analytics; Dimension Reduction; Model Validation; Data Visualization techniques and latest trends

What opportunities might it lead to?

The term "data scientist" is the trending job title in the IT field. Some of the market and career growth opportunities are listed below.

  • Data Scientist
  • Data Architect
  • Data Administrator
  • Data Analyst
  • Business Analyst
  • Data/Analytics Manager
  • Business Intelligence Manager

Bachelor’s degree in Engineering / Technology in ECE, EEE, EIE, CSE (4 years after 10+2 or 3 years after B.Sc. / Diploma in Engineering / Technology) – Currently in the final year or already completed. M. Sc. in Electronics or Electrical / MCA or equivalent Master’s degree.

The qualification required to apply for the program is a minimum of 50% marks (45% marks in case of candidate belonging to reserved category) in the respective bachelor’s degree from a recognized university.

Study Campus
JGI Global Campus
Faculty of Engineering & Technology
NH-209, Bangalore - Kanakapura Main Road
Jakkasandra Post, Kanakapura Taluk
Ramanagara District - 562 112
+91 80 2757 7198
Admissions Office
JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 80 46650130
Curriculum Structure & Teaching
  • Linear Algebra and Optimization Techniques
  • Visualization Techniques using Tableau
  • Machine Learning using Python
  • Research Methodology
  • Elective 1
    1. Python for Data Science
    2. NoSQL Databases
    3. Digital Image Processing
  • Elective 2
    1. Inferential Statistics
    2. Time Series Analysis
    3. Operations Research
  • Python for Data Science
  • NoSQL Databases
  • Digital Image Processing
  • Data Analytics using SQL
  • Big Data Analytics
  • Natural Language Processing
  • Elective – III
    1. Neural Networks and Deep Learning
    2. Data Warehouse and Data Mining
    3. Sensor Technology
  • Elective - IV
    1. Cloud Web Services
    2. Real Time Data Processing Using Spark
    3. Big Data Analytics on Cloud
  • Elective – V
    1. Advanced Machine Learning
    2. Reinforcement Learning
    3. Speech Processing
  • Data Analytics using SQL Lab
  • Fundamentals of Innovation and Venture Development in Entrepreneurship - 2
  • Open Elective - I
  • Open Elective - II
  • Open Elective - III
  • Project Centric Learning Phase - III
  • Project Phase-1
  • Dissertation Project
  • Project Centric Learning Phase – III