PG Diploma in Data Science | PGD DS

In today’s data-driven society, Data Science provides a foundation for problem solving that impacts virtually all areas of the economy, including science, engineering, medicine, banking, finance, sports and the arts. Data science is an interdisciplinary field that focuses on analysing large amounts of data to identify inherent patterns, extract underlying models, and make relevant predictions.

This data science programme is designed to prepare students in wide disciplines who want to gain practical know-how of data analytics methods as it relates to their field of interest. It is designed to empower them to employ computational thinking and data science tools to solve practical business problems. The aim of this programme is also to develop the important data analytics related skill sets for the learners. These skills are necessary for professional in the domain of data. Its design offers hands-on training in the context of real applications in the data domain. The learners have a freedom to choose their application domain (from Text Analytics or Image Analytics) and their applications as their area of study. It is designed for graduate students who are seeking a stronger foundation in data analytics.

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Key Information


  • Applications of principles of Data Science to the analysis of diverse problems.
  • Use software tools and algorithms from statistics, applied mathematics, Computer Science to model and analyze real-world data, communicate findings, and effectively present results using data visualization techniques.
  • Employ cutting edge tools and technologies to analyze large amounts data.
  • Understand the ethical practices that are importantly and inevitably tied to data-driven Decision making.
  • Learn a broad array of basic computational skills required for data analytics.

Learning Outcomes

At the successful completion of this program student will be able to

  • LO1: Apply principles of Data Science for analytics to diverse problems.
  • LO2: Demonstrate the use of various tools in the domain of Data Science for
  • LO3: Implement solutions to data analysis problems using latest tools and technologies in their domain.
  • LO4: Discuss ethical practices related to data-driven decision-making.

Eligibility Criteria

  • Diploma or UG in Engineering and Technology(COMP/IT/ETRX/EXTC/Allied Branches) OR
  • B.Sc IT/COMP

List of Courses

Semester I Semester II
Fundamentals of Data Science Ethics for Data Science
Mathematical Foundations for Data Science Advanced Machine learning
Data Warehousing and Mining Big Data and Real-time analytics
Machine Learning Elective : Text Analytics and its applications OR Image Analytics and its applications
Data analysis and Visualization Optimization Methods for Analytics
Computational_Lab_I and II Computational_Lab_III / IV
Applied Project – I Applied Project – II

Highlights & Mode of Study


  • Flexible Schedule for working professionals
  • Study in online/offline mode with interactive hands-on practice
  • Understanding the latest tools and technologies used in Industry
  • Interaction with industry experts

Mode of Study

  • Part Time
  • Online and / or Offline
  • 20 Hrs per week + Project
  • Flexibility in conduction of theory and laboratory courses