M.Tech CSE (Data Science)

School of Engineering & Technology

At Jaipur National University offers a Two-year Post-graduate M.Tech CSE with Specialization in Data Science has been specifically designed to provide a platform to undergraduate students for a prospective career in upcoming data science industry. The course encompasses Data Science as an interdisciplinary, problem-solving approach that learns to apply scientific techniques to practical problems. It is an intensive skill-oriented program with enough practical training for building business models for analytics. With analysis and statistical approach, data science is one of the fastest growing career opportunities in the country. It is designed to give exposure to the variety of applications that can be built using techniques covered under this program.

Learning Perspective

Over the past decade, there has been a burst in the amount of data available universally. A large number of bytes is now captured daily from web logs, sensors, mobile devices, and instruments. The data requires organization, rationality and making sense of this information requires distinctive new skills. The aim of this course is to produce graduates who are well versed with theoretical knowledge and the skill set to address all aspects of creating, managing, processing and converting data to knowledge.

Students graduating from the proposed program will have significantly more depth and breadth in the broad area of data science. The curriculum is designed in close collaboration with industry which includes in-demand tools and technologies.

Key Information


2 Years


Min. 55% Aggregate in B.Tech (CS/IT/ECE)

Selection Procedure



As per University norms

Tuition Fee


Caution Money



*Lab & Library fee will be charged separately
#Program Proposed from Session 2024-25

Programme Structure

  • Fundamentals of Data Science
  • Advanced Artificial Intelligence
  • Research Methodology & IPR
  • Data Science LAB
  • Artificial Intelligence Lab
  • Data Mining and Data Warehousing
  • Advanced Machine Learning
  • Professional and Communication Skills
  • Data Mining Lab
  • Machine Learning Lab
  • Data Structures and Algorithms for Data Science
  • Embedded Computing & RTOS for Data Science Applications
  • Scientific Computing
  • Minor Project
  • Major Project

Career Prospects

Ample of job opportunities and career prospects are available for M.Tech Data Science. Being a M.Tech Data Science you can work in various different sectors like Education, Artificial Intelligence offices, MNCs and others.

M.Tech graduates are in huge demand and the following table shows the job profiles for the same:

  • Data Architects : Data Architects are responsible for preparing the data architecture strategies or data models. They collaborate with IT industries and other businesses to plan a data strategy.
  • Financial Modeler: Role of Financial modeler is to analyze the financial model of an organization and suggest possible positive changes in it. They help in preparation of annual budget and monthly budget forecasting.
  • Data Engineers: They are responsible for developing the technical solutions to access the data and the data usage. They basically develop the tools and dashboards for the clients.
  • Clinical and Pharmaceutical Data Analyst: Their main duties involve data analytics, data mining, and data reporting, as well as coordinating with other relevant departments. They basically create and run data reports
  • Database Administrators: Their daily basis activities include implementation, configuration and troubleshooting of database instances. They usually monitor and optimize the system performance.
  • Business Intelligence Analyst: Business Intelligence Analyst is responsible for extracting relevant information from databases and data warehouses. They are specialized in query and reporting analysis tool.
  • Statistician: Statisticians are responsible for analyzing and collection data by using statistical tools and their mathematical theories. Their role is to organize and interpret data in an efficient way.