The programme aims to produce data-analytic and business-aware graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organizational decision-making. It is also intended to help established data analytic professionals upgrade their technical management and development skills and to provide a solid path for students from diverse fields to rapidly transition to data science careers.

Programme Intended Learning Outcomes (PILOs):

Upon successful completion of this Programme, students are expected to:

• Apply knowledge of science and engineering appropriate to the data science discipline;
• Apply contemporary techniques for managing, mining and analyzing data across multiple discipline;
• Use computational thinking to discover new knowledge and to solve real-world problems with high complexity;
• Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas;
• Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment.

Career Prospects

A strong demand of the data scientists and analysts has been recently observed in the worldwide job market. This programme aims at producing analytic and business-aware graduates to meet the growing demand by equipping them with big data analytics skills and nurturing their capability in applying data science techniques to address emerging complicated real-life problems. Upon successful completion of this programme, the student should be able to:

• Apply data processing skills to handle data of various formats and sizes.
• Conduct comprehensive data analytics with integrating techniques from various disciplines for knowledge discovery and dissemination in organizational decision-making.
• Utilize a variety of data visualization techniques to interpret data analytics results.
• Demonstrate strong quantitative capabilities as well as communication skills.
• Develop descriptive, prescriptive and predictive analytics solutions to tackle emerging challenges in contemporary problems.