Data Science


  1. Introduction to Data Science terminologies, definitions, and concepts The evolution of Data Science
  2. Introduction to relevant mathematical and statistical analysis techniques, algorithms, programming, visualisation and cloud concepts
  3. Introduction to data structures, cleaning, accessing, filtering, analysing, using, communicating and managing data utilising cutting-edge software
  4. Introduction to Machine Learning, Artificial Intelligence, Robotics, and Blockchain Modern application of Data Science
  5. Digital Transformation strategy
  6. Critical success factors in the management of data science projects


There are two Data Science programme options; Introductory and Advanced

Introduction to Data Science

This programme is designed for leaders and managers who need to deepen their understanding of Data Science, and support Digital Transformation in order to create the organisa- tion’s strategic competitive advantage. This programme does not require technical Data Science skills.

Duration: Two days of contact learning or 16 hours of online learning delivered over a period of one month.

Advanced Data Science

This programme is designed for professionals involved in Data Science. The programme is also well suited for the youth, students and graduates who wish to pursue professional careers in Data Science, Computer Science, Software Engineering, Academic Research, Business Analysis and Machine Learning.

Duration: One month of contact learning or 60 hours of online learning delivered over a period of three months.

These programmes can be customised for specific client needs and sectors.


Successful participants will receive a Certificate in Data Science from Regenesys Institute of Management, based in India.

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