|Abbreviation||FT / PT|
The Master of Science in Business Analytics programme aims to prepare students for a career in business analytics. A business analytics professional needs to have the necessary skills and knowledge in a range of fields, including business, database, statistics, informatics, operations, as well as in advanced topics in business analytics such as business data mining, big data in business, etc. The program offers students with various business analytics courses, and it prepares an optimal mix of fundamental and cutting-edge knowledge in business analytics. Particularly, the programme will require a total of ten 6-credit courses that consist of five core courses (30 credits) and five elective courses (30 credits). The courses are divided into three streams: general analytics, information analytics, and operations analytics.
Graduates of the program will possess core analytics and quantitative skills needed in modern business world. They will fill the growing demand of business analytics specialists in Hong Kong, the region, and the world. To offer practical relevance as well as to prepare students for the job market, the programme forms a tie-up with Cyberport Hong Kong, an innovation & technology hub and creative digital community consisting of over 800 startups and organizations. As part of the capstone core course, students may have project opportunities with Cyberport based organizations and gain real world business experience in business analytics.
Mode of Attendance
Full Time (one to two years)
Medium of Instruction
Programme Entrance Requirements
1. A recognized Bachelor's degree or equivalent;
2. Statements from two referees; and
3. A TOEFL/IELTS* score if you are not from an English teaching university.
(*A minimum score of 550 (paper-based test) or 80 (internet-based test) in TOEFL, or a minimum overall band of 6 with no subtest lower than 5.5 in IELTS is required.)
Programme Admissions Advisor
|Ms Pinky Li|
List of Programmes
Round 1: 12:00nn (HKT), November 1, 2018
Round 2: 12:00nn (HKT), January 3, 2019
Round 3: 12:00nn (HKT), March 1, 2019