MS Data Science

Data science is a fascinating, lucrative, and fast-growing field. Data science leverages large volumes of data generated from numerous and diverse sources. Data scientists’ structure and analyze these large volumes of data, uncover patterns, and make predictions in our increasingly digital world. Data science is needed in practically every domain: business, finance, science, health, and the public sector.

Data Science studies the application and development of methods to find solutions for the challenges of data collection and analysis that occur in the most modern services, from digital assistant to search engines, and from online shopping to weather forecasts. The methods of data science involve elements of statistics, computer science, combinatorics and optimization. The need for an integrated study and research across these disciplines is felt across all industries.

Demand is growing for high value data specialists with high level skills to turn stockpiles of information into knowledge for better decision making. It is needed to create high load services and applications based on statistical analysis and representation, and to develop storage and processing systems for big data.

The 2-year postgraduate program comprises of compulsory and recommended elective courses on the most important topics, a wide set of elective courses (depending on the research and professional needs of the student), components of entrepreneurship and innovation, and research activity. Data scientists are already among the most demanded specialists in the hi-tech market. The goal of this program is to equip the most talented young scholars with high-level knowledge and expertise in machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modelling and other important areas of modern data science.


Each candidate for the MS Data Science degree is required to successfully earn 30 Cr. Hrs. with the CGPA of 2.5 on the scale of 4.0 as per the following detail:

  • Sr. No. Category Cr. Hrs.
  • 1Core Courses 12
  • 2Specialization 6
  • 3Electives 6
  • 3Thesis/Additional Courses6
  • Total30

Road Map

Core Courses

  • Sr. No. Course Title Code Cr. Hrs.
  • 1Statistical and Mathematical Methods for Data ScienceDSSM51033
  • 2Tools and Techniques in Data ScienceDSDS52033
  • 3Machine LearningDSAI53033
  • 4Research MethodologyDSRM54013

Specialization Courses

  • Sr. No. Course Title Code Cr. Hrs.
  • 1Big Data AnalyticsDSDS52133
  • 2Deep LearningDSAI63133
  • 3Natural Language ProcessingDSAI63233
  • 4Distributed Data ProcessingDSDS62333


Research Thesis

  • Sr. No. Course Title Code Cr. Hrs.
  • 1Big Data AnalyticsDSDS52133
  • 2Deep LearningDSAI63133
  • 3Natural Language ProcessingDSAI63233
  • 4Distributed Data ProcessingDSDS62333

Admission Criteria

At least 2.00/4.00 CGPA or 50% marks from an annual system in BS Computer Science/Software Engineering/Information Technology/ Computer Engineering/ Electrical Engineering/ Statistics/ Mathematics or equivalent. Note: If a candidate has not taken the following courses during the undergraduate degree then, they must take them during MS Data Science:
  • Programming Fundamentals (Core Programming Course)
  • Data Structures & Algorithms OR Design & Analysis of Algorithms
  • Database Systems
  • Prospects

    Data science program is designed to focus on developing the skills and latest knowledge in the students. At the successful completion of the program, students can design and run the systems to perform data science tasks. The graduates of the program can opt for entrepreneurship as a career or may choose many of the available job options. Data Engineer, Data Scientist, and Data Analyst are some of the big job positions in several industry verticals or may work as a data science researcher. The available jobs can be data science generalist, machine learning scientist, statistician, machine learning engineer, application architecture, and infrastructure architect which may result in a long-lasting brilliant career.

    Fee Structure

    MS Data Science

    • Sr. No. COURSE NAME ADMISSION FEE FEE PER CREDIT HOUR Total No. Of Credit Hours Total Fee
    • 1MS Data Science25,00010,800303,49,000

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