With more and more data being captured, there is growing need for people with the skills to manage large data collections, and make use of them through a range of data analysis techniques. It has been said that “data is the raw material of the 21st century”.
The Master of Business Data Science (MBusDataSc) is an interdisciplinary programme that encompasses understanding how data can be used in a business context, how large data sets can be managed, and how data can be analysed. The programme will also develop students’ skills in data analysis techniques and computing.
Graduates of the MBusDataSc will have advanced knowledge in areas including: understanding of opportunities for applying data analysis in business, awareness of ethical and privacy issues and mitigation approaches, understanding of technologies for managing large data sets and the ability to select and apply appropriate technologies, and an understanding of different techniques for analysing data and the ability to select and apply appropriate techniques.
The programme can be completed in a 12 month period.
-BSNS 401 The Environment of Business and Economics (20 points)
-COSC 430 Advanced Database Topics (20 points)
-INFO 408 Management of Large Scale Data (20 points)
-INFO 411 Machine Learning and Data Mining (20 points)
-INFO 420 Statistical Techniques for Data Science (20 points)
-INFO 424 Adaptive Business Intelligence (20 points)
-MART 448 Advanced Business Analytics (20 points)
Plus one of the following project papers:
-BSNS 501 Applied Project or BSNS 580 Research Project (40 points)
Structure of the Programme
-A candidate may be exempted from some of the required papers on the basis of previous study. Alternative papers will be required at an equivalent level of study.
-A candidate shall, before commencing the investigation to be described in the applied or research project, secure the approval of the Head of the Department concerned for the topic, the supervisor(s) and the proposed course of the investigation.
-A candidate may not present a project report which has previously been accepted for another degree.
-A candidate must pass both the papers and the project components.