SDS DAI DS - LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science
LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science
(JUPAS code: JS7225)
Data science is an emerging interdisciplinary field that integrates knowledge and skills from computer science, statistics/mathematics and artificial intelligence with critical and out-of-the box thinking to process big datasets with different formats from various sources. This programme emphasises a balanced coverage of subjects in computer science, statistics/mathematics and artificial intelligence resting on a liberal arts foundation and focuses on applications in different fields in science, social science, arts and business.
The Division of Artificial Intelligence itself has conducted a market survey of practitioners in the IT, e-Business, education, banking and government sectors and a survey of potential students in different countries/regions. The survey results indicate good job prospects for future graduates and substantial demand for Data Science programmes.
Why Choose Us? Data science education in liberal arts context
Increasing demand for data scientists, data analysts & business analysts
- A recent report from McKinsey Global Institute finds that the shortfalls of data scientists and business translators in the United States (US) are approximately 250,000 and 4 million respectively.
Worldwide trend for universities
- Many universities in the US have made huge investments in establishing new programmes for training data scientists and other related professionals. For example, Rice University launched a data science initiative with ~ US$45 million.
Data Science in Liberal Arts
- The liberal arts training offered by LU which requires students to think critically and creatively and communicate effectively across different disciplines will enhance graduates’ ability to work in interdisciplinary teams and in different types of organisations beyond information technology (IT) companies.
Wide spectrum of courses
- Students can take courses that explore the role of data and digital technologies in society in cultural studies, familiarise themselves with the expediency of data in governance in social science and explore new media aesthetics and data visualisation in visual studies.
Well-equipped with desirable graduate attributes
- Being able to think through the potential of data in society and in different contexts will enhance the creativity of graduates in developing new solutions and applications.
Astounding capstone course
- In the capstone course "Best Practices of Data Science", it will discusses data science problems in different domains, the best approaches to addressing them, the appropriate methods of extracting results for users and the right process to implement the results.
Meet Our Distinguished Professors
