Master of Data Science
Edith Cowan University
Key Information
Campus location
Joondalup, Australia
Languages
English
Study format
Distance Learning
Duration
2 years
Pace
Full time, Part time
Tuition fees
AUD 34,700 / per year *
Application deadline
Request info
Earliest start date
Jul 2024
* international students
Introduction
Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored and analysed/utilised.
Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region.
Admissions
Curriculum
Semester availability
- Semester 1: Study full-time at Joondalup or Online
- Semester 1: Study part-time at Joondalup or Online
- Semester 2: Study full-time at Joondalup or Online
- Semester 2: Study part-time at Joondalup or Online
Course Structure
Year 1 - Semester 1
- Programming Principles
- Biostatistics
- Mathematical Fundamentals
Year 1 - Semester 2
Students who commence the course midyear will complete their second and third semesters in reverse order.
- Applied Multivariate Statistics
- Science Communication and Ethics
- Artificial Intelligence
Year 2 - Semester 1
- Data Analysis and Visualisation
- Systems Analysis and Database Design
- Time Series Forecasting
Year 2 - Semester 2
- Postgraduate Science Project
Program Outcome
- Reflect critically on a complex body of data science knowledge, research principles and methods to demonstrate mastery of professional practice.
- Apply advanced cognitive and technical skills to analyse complex concepts in authentic data science scenarios.
- Apply communication and collaboration skills in designing solutions to data sciences problems.
- Use high level self-management skills to initiate, plan and execute a substantial data science focused project.
Program Tuition Fee
Career Opportunities
This course provides students with the opportunity to engage in a semester-long work-orientated project or a work-integrated experience. This provides an excellent springboard for employment following this degree. Career pathways available to data science graduates include data scientist, data analyst, machine learning scientist, statistician, informatician, computational scientist. Graduates of this course will also have the option to pursue further study at the PhD level.
Possible future job titles
- Data Scientist
- Data Analyst
- Informatician
- Computational Scientist