This is the most comprehensive data science program in Australia, which combines high-level analytical and technical skills with industry-specific knowledge and essential professional attributes.
The Master of Data Science is one of the few programs in the world to combine a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.
Study advanced topics from computing, statistics, and mathematics as well as your choice of electives from business, finance, health, or science. Across the program, you’ll learn how to make informed decisions in data-intensive environments.
Use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication, and more. In your final year you’ll also complete projects relevant to industry.
Graduate with a combination of high-level technical skills and a capacity for creative and disruptive thinking. You’ll be ready to solve complex data science problems globally and meet the strong demand for expert data scientists.
Part A – Compulsory
14 to 16 units including all of
|Introduction to Data Science|
|Responsible Data Science|
|Data Analytics at Scale|
|Statistical Methods for Data Science|
|Data Science Capstone Project 1|
|Data Science Capstone Project 2|
|Data Science Capstone Project 2B|
at most 4 units from
|Introduction to Software Engineering|
|Advanced Database Systems|
|Mathematics for Data Science 1|
|Mathematics for Data Science 2|
|Applied Probability & Statistics|
at least 4 units from
|Advanced Techniques for High Dimensional Data|
|Information Retrieval and Web Search|
|Social Media Analytics|
|Numerical Linear Algebra and Optimisation|
|Advanced Topics in Operations Research|
|Operations Research & Mathematical Planning|
Part C – Electives
|Concepts in Bioinformatics|
|Introduction to Proteins and Nucleic Acids|
|Advanced Genome Informatics|
|Pattern Recognition and Analysis|
|Advanced Algorithms & Data Structures|
|Algorithms & Data Structures|
|Numerical Methods in Computational Science|
|Advanced Software Engineering|
|Elements of Econometrics|
|Applied Econometrics for Macroeconomics and Finance|
|Computation in Financial Mathematics|
|Fundamentals of Marketing|
|Consumer & Buyer Behaviour|
|Market & Consumer Research|
|Introduction to Epidemiology|
|Probability Models & Stochastic Processes I|
|Statistical Analysis of Genetic Data|
|Advanced Statistics II|
|Advanced Probability & Stochastic Processes I|
|Advanced Probability & Stochastic Processes II|
|Longitudinal & Correlated Data|
Degree equivalent to an Australian bachelor degree in Mathematics or Statistics or Computing or related discipline, with significant studies in mathematics, statistics and computing and a GPA of at least 5.0 on a 7 point scale.
Related disciplines include but are not limited to Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies.
- IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ
- TOEFL IBT – Overall 87, listening 19, reading 19, writing 21 and speaking 19.
- TOEFL PB – Overall 570, listening 54, reading 54, writing 59/5.
- Pearsons – Overall Score of 64 and 60 in all sub bands.
- BEP – A minimum overall grade of 4 plus a minimum grade of C in all macro skills.
- CES – Overall 176 and 169 in all sub bands.
- OET is not accepted.
The University of Queensland
Brisbane QLD 4072
Tel: +61 7 3365 1111