Principles of Data Science

Principles of Data Science

Programme Overview

Data Science is successfully adding value to all business models by using statistics and deep learning to make better decisions. A growing number of companies are now hiring data scientists to analyse data and predict possible situations and risks for businesses.

This course is designed for students with an interest in data science. Students will be introduced to the concept and develop a deep understanding of it and hear from industry experts on data science applications.

Why This Programme

This programme is designed for students around the world with an interest in data science, allowing students to expand their knowledge in data science.

The programme uses group discussions, workshops, and guest speakers to enrich, enhance and develop business knowledge and practical skills in a fun and supportive learning environment.

Students are introduced to the basic concepts of data science and develop a technical understanding as well as business awareness of data science. They enjoy an enhanced learning experience that will further develop their transferable skills, and learn about global challenges with relevant virtual tours and company visits.

The sessions cover the following topics:

  • History of Data & Data Science
  • Statistical Foundation of Data Science
  • Exploratory Data Analysis and Visualisation
  • Machine Learning for Data Science
  • Big Data Management and Cloud Computing
  • Systems and Network Engineering
  • Data Privacy and Ethics

Learning Outcomes

Upon completion, students will be able to:

  • Learn the concept of Data Science
  • Develop an understanding of data analysis and visualisation
  • Learn about data science products
  • Understand real-world applications in data science and hear from industry experts
  • Gain an understanding of data privacy and ethics
  • Develop valuable professional skills in business model innovation and presentation
  • Practice and improve their English language


Participants will be evaluated based on the following:

  • Group work exercises
  • A 2000-word essay and a presentation


Data Science & Business Intelligence

09.00 am
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Lecture content and class material will be made available through an interactive online platform.

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