This major aims at equipping students with strong analytical and decision-making skills in analyzing, managing, and improving nowadays enterprise class systems via offering solid disciplines in data science and intelligent systems. An enterprise under consideration can mean an engineering, business, governmental, or service-oriented organization. The targets of management and improvement can be the strategies, operations and supply chain of an enterprise, and the products and services offered by an enterprise. A BSC DSE student is nurtured to become an analytical and versatile graduate, competent in collecting, analyzing and interpreting large data and transforming the massive information into relevant insights for making better decisions in his or her organization.

In addition to the general education studies and language proficiency, to equip BSC DSE graduates with the competence needed, this Major includes the following core and elective components:

·     University level mathematics and essential computer studies;

·     Core components – (a) a broad understanding of the principles, techniques, and problem-solving skills in statistics, machine learning, artificial intelligence, optimization, and information technology, as a way to obtain and analyze information from large enterprise datasets, data streams and complex systems. (b) fundamental concepts and techniques in systems/enterprise engineering and management;

  ·     Elective components – more advanced concepts and techniques in systems analytics, in internet of things, and in smart city;

·     Problem solving, teamwork and integration skills development;

·     Purposefully designed courses that infuse CityU’s unique discovery-enriched curriculum (DEC) concept.