Sub Title

School of Science

Title

BSc in Data Analytics and Artificial Intelligence in Science

Modules
Award
BSc in Data Analytics and Artificial Intelligence in Science
Duration
4Y
Jupas code (for HKDSE students)
JS5102 Science (Group A)
Title
Application Choice
(for international qualifications)
Application Choice
school-based-admission
Science (Group A)
Description
Science (Group A) program is a School-based program for students who are interested in the field of Physical Sciences.

In the first year of study, students will take the Science Foundation courses as well as some of the language, elective and/or general education courses. Upon completion of the first year, students can opt to declare Data Analytics and Artificial Intelligence in Science as their major.
Title
Overview
Description

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 and Artificial Intelligence in Science (DASC) is a major program designed for science students who want to learn data analysis skills and practice them in various science disciplines.

Program Curriculum

The curriculum starts with basic training in programming and computational skills, as well as analytic methods and statistics, and data visualization. Students will then declare one of the following study tracks at the start of Year 3 to practise and sharpen their skills. 

  • 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:
#43 in Statistics and Operational Research (No.1 in Hong Kong) 
#47 in Mathematics (No.1 in Hong Kong)

(QS World University Rankings by Subject 2024) 

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Title
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
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Student Sharing Reference
Content
Studying DASC brings so many new experiences to me. Its unique teaching materials give challenging yet memorable learning experience throughout my university life. I have learned and upgraded my programming techniques through project-based courses by self-initiated research and the feedback provided by professors during the courses.
Student Name
Defvan Firdy GUNAWAN
Student Program
BSc in Data Analytics in Science
Year
Year 4
Module Reference
Module Reference
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