Description of Course
This new degree programme is designed to respond to the modern challenges that arise from the availability of vast amounts of data in many areas of our life. Handling big data requires a synergy between statistics, mathematics and computer science.
Entry Requirements
N/A
Course Content
Standard Route
100 Courses
- EC 1002 Introduction to economics
2,3. MT 1173 Algebra and MT1174 Calculus or
MT1186 mathematical methods and
MN 1178 Business and Management in global context
- ST104A Statistics 1 and
ST 104B Statistics 2
200 and 300 Courses
- IS2184 Information systems management
- ST 2187 Business analytics, applied modeling and prediction
- ST 2133 Advanced statistics: distribution theory and
ST2134 Advanced statistics: statistical inference
- EC2020 Elements of econometrics or
MT 2116 Abstract mathematics
- ST3188 Statistical methods for market research
- St3189 Machine learning
- One 300 course from Selection Groups E, M or N
- One 100,200 or 300 course (or two half courses) from any selection group
