Master of Business Data Science (MBusDataSc)

Overview

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

Regulations for the Degree of Master of Business Data Science (MBusDataSc)

1. Admission to the Programme

   1. Admission to the programme shall be subject to the approval of the Pro-Vice-Chancellor (Commerce).
   2. Every applicant must either
      1. be a graduate and normally have achieved an average grade of B+ in the relevant 300-level papers, or
      2. have alternative qualifications acceptable to the Pro-Vice-Chancellor (Commerce).
   3. In considering an applicant’s qualifications, regard will be had to the detail of the course of study followed to gain the qualification, as well as the applicant’s performance in the programme.

2. Structure of the Programme

   1. The programme of study shall consist of seven 20-point taught papers together with a 40-point applied project or research project:

      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:
      INFO 501  Applied Project
      or
      INFO 580  Research Project

   2. 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.
   3. 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.
   4. A candidate may not present a project report which has previously been accepted for another degree.
   5. A candidate must pass both the papers and the project components.

3. Duration of the Programme

   A candidate must normally complete the requirements for the programme in 12 months of full-time study.