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.
Emphasises a balanced coverage of subjects in computer science, statistics/mathematics and artificial intelligence resting on a liberal arts foundation.
Focuses on applications in different fields in science, social science, arts and business.
The Major programme contains 13 required courses, including 3 computer science courses, 3 artificial intelligence courses, 6 statistics/mathematics courses and 1 capstone course.
The Department of Computing and Decision Sciences 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.
Designed by a group of professional people with academic backgrounds in Artificial Intelligence, Computer Science, Statistics, Mathematics, Economics, Marketing, Cultural Studies, etc.
Champions of cutting-edge education with outstanding teaching achievements
Enabling thinking through the potential of data in society and in different contexts
Becoming future data scientists, data analysts, business analysts, business translators, project managers, database administrators, data engineers, and systems developers
Students will learn the approaches and methods to apply knowledge learnt from the courses to problems that arise in Business, Science, Social Science, and Arts.
Strong foundation in computer science, statistics, mathematics, and artificial intelligence
Data-related courses, programming, simulation, quantitative decision-making, and machine learning
Hands-on experience with real-world data analysis. Critical thinking to analyze problems
Data Science Project Management, Marketing Analytics, Web Technologies and Social Networks
Big Data Analytics, Deep Learning, Stochastic Process, and Optimization
Core Curriculum courses, language enhancement courses, and free electives
Faculty members in the department are committed to teaching excellence and play an important role in the LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science Programme.
The upcoming intake of the students will start in September of the coming academic year.