Course description
The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:
- Business and Management;
- Health Science;
- Social Sciences;
- Geography;
- Planning;
- Computer Science;
- Mathematics.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:
- computational skills;
- data analytical skills;
- data stewardship skills and knowledge;
- project design skills.
Aims
This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. Our goal is to help you develop into an agile, skilled data scientist, adept at working in variety of settings and able to meet the challenges and reap the rewards of interdisciplinary teamwork.
Teaching and learning
Teaching and Learning use multiple modes, including:
- Lectures
- Practical exercise
- Individual and teamwork
- Student presentations
Course unit details
Through a set of core units, you will develop a set of key data science skills.
The core units are:
- Machine Learning and Statistics (both semesters);
- Understanding Databases;
- Understanding Data and their Environment;
- Applications in Data Science.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
| Title | Code | Credit rating | Mandatory/optional |
|---|---|---|---|
| Statistics and Machine Learning 1: Statistical Foundations | DATA70121 | 15 | Mandatory |
| Statistics & Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics | DATA70132 | 15 | Mandatory |
| Understanding Databases | DATA70141 | 15 | Mandatory |
| Applying Data Science | DATA70202 | 15 | Mandatory |
| Understanding Data and their Environment | DATA71011 | 15 | Mandatory |
| Extended Research Project | DATA72000 | 60 | Mandatory |
| Programming in Python for Business Analytics | BMAN73701 | 15 | Optional |
| Topological Data Analysis | DATA70302 | 15 | Optional |
| Privacy, Confidentiality and Disclosure Control | DATA70402 | 15 | Optional |
| Digital Planning - Spatial and Policy Analysis | PLAN60761 | 15 | Optional |
| Displaying 10 of 15 course units | |||
| Display all course units | |||
Scholarships and bursaries
The School offers a number of awards for students applying for master's study.
To find our more, please visit our master's funding opportunity search page.