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School of Science

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BSc in Data Analytics in Science

Modules
Award
BSc in Data Analytics in Science
Duration
4Y
Jupas code
JS5102 Science (Group A)
Title
Application Choice
Application Choice
school-based-admission
Science (Group A)
Description
Students who wish to spend more time exploring their interests in the field of physical science may apply and be admitted to Science (Group A) without a major. They can opt to declare Data Analytics in Science as the major upon completion of the first year of study.
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Overview
Description

We are surrounded by massive data in this big data era. An enormous amount of data is continuously generated and obtained in almost every science, technology, and social science field. Data Analytics in Science is a major program offered by the School of Science starting from the 2021/22 academic year. The program is designed for science students who want to learn data analysis skills and practice them in various science disciplines. 

The program introduces our students to various mathematical tools and show them how to make sense of data. Students have a chance to see how data analytics has impacted and revolutionized different fields in science. Students not only learn foundation science knowledge, but also have opportunities to be equipped with competence and skills to analyze, present, and draw sound conclusions from data in context, and ultimately bring these techniques into practice in a data-intensive field in science. 

The program offers four tracks:

  • ­    Applied Biosciences Track
  • ­    Environmental Science Track
  • ­    Information Science Track
  • ­    Molecular Science and Cheminformatics Track

Courses in the tracks are not meant to train students to be experts in the corresponding fields but rather to bring them into the context of a domain of data-intensive research in science. 
 

Rankings:
#37 in Mathematics (No. 1 in Hong Kong)
#50 in Statistics and Operational Research (No. 2 in Hong Kong)
(QS World University Rankings by Subject 2022) 

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Career Prospects
Description

We see tremendous new applications of data analytics these years. In the business world, techniques from data analytics help draw sharper insights into their customers, and improve the operational, manufacturing and computational efficiencies. In Fintech, data analytics can effectively predict the stock price, design new financial products, detect fraud transactions, etc. Therefore, graduates with training in data analytics are in extremely high demand in today’s job market.

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Module Reference
Module Reference
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