MSc Data Science (Applied Urban Analytics) / Course details
Year of entry: 2023
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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 a variety of settings and be able to meet the challenges of interdisciplinary teamwork.
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 |
|---|---|---|---|
| Programming in Python for Business Analytics | BMAN73701 | 15 | Optional |
| Land and Development | PLAN60102 | 15 | Optional |
| Advanced Real Estate Finance | PLAN60292 | 15 | Optional |
| Property Valuation | PLAN60331 | 15 | Optional |
| Digital Planning - Spatial and Policy Analysis | PLAN60761 | 15 | Optional |
| Neighbourhood Planning Project | PLAN60812 | 15 | Optional |
| Digital Planning - Decision Support Systems | PLAN60962 | 15 | Optional |