社會科學院

社會數據科學

JUPAS No. JS7307

Year of Entry 一年級入學或高年級入學

Funding Type 教資會資助課程

First Year Entry: Students should apply directly to the programme "Bachelor of Social Sciences (Honours) - Social Data Science".

Senior Year Entry: During application, students should first choose "Social Sciences (Senior Year)" under the section "Study Programme", then choose "Social Data Science" as one of the "Stream / Concentration Preferences" of the BSocSc (Hons) programme.

專修:經濟學/政府與國際事務學/心理學/社會學

New Programme!

Overview

The Bachelor of Social Sciences (Honours) - Social Data Science programme prepares students to acquire, utilise, and interpret social data creatively and effectively in addressing  challenges related to people and the society. We offer an interdisciplinary curriculum by combining knowledge in fundamental social sciences theories with advanced data science techniques. Students will not only benefit from both the uniqueness and synergy of our four disciplines (Economics, Government and International Affairs, Psychology, and Sociology and Social Policy), but also acquire essential and practical skills in data science. Students graduating with this major will be able to serve in both the public and private sectors, especially in roles such as analysts, researchers, and data scientists in various industries, government agencies, and non-government organisations (NGOs).

Features

Highlights

The Social Data Science Major aims to:

  • Provide students with integrated training in data science skills and techniques to improve our understanding of people and society and provide solutions for the many social problems surrounding us.
  • Nurture students who can acquire, utilise, and interpret social data creatively and effectively in addressing challenges related to people and society.
  • Foster an interdisciplinary curriculum by combining knowledge in fundamental social sciences theories with advanced data science techniques. Students will benefit from the uniqueness and synergy of four Social Sciences disciplines (Economics, Government and International Affairs, Psychology, and Sociology), and acquire essential and practical skills in data science.