The University of Queensland
Master of Data Science
Nationally Recognised Higher EducationBecome job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.
This is the most comprehensive data science program in Australia, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes. It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.
You'll study advanced topics from computing, statistics and mathematics, and 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.
You'll 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.
Delivery mode
The University of Queensland offers this course through the following delivery modes:
On campus
Work with instructors and classmates in a supportive and collaborative environment.
- 280-284 Sir Fred Schonell Dr, St Lucia
Entry requirements
Domestic Students
- There are no mandated entry requirements.
It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience.
You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree.
2-year degree (32 units of study)
To be eligible to complete the degree in 2 years full-time (or part-time equivalent), you'll need:
- a bachelor's degree (or equivalent) in a relevant discipline (see below), or
- a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or
- to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science.
You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification
1.5-year degree (24 units of study)
If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time.
To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent), you'll need:
- a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 3 courses in computer sciences.
You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification
Additional requirements may apply.Course fees
For more information about this course and payment options please enquire now.
Career opportunities
The Master of Data Science will prepare you for the following roles.
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Data Architect
A Data Architect manages data collection and management for a business or organisation. You’ll design management systems for organising and storing...
Analytics Manager
An Analytics Manager oversees the collection and analysis of data to support business decisions. You might work in various industries, including fi...
Big Data Engineer
A Big Data Engineer is responsible for designing and implementing robust data processing systems that facilitate the handling and analysis of large...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology...
Data Manager
A Data Manager oversees an organisation's data management processes, ensuring data integrity and accessibility. You may work in various sectors, fo...
Computational Physicist
A Computational Physicist applies computational methods and algorithms to solve complex physical problems. You might work in a research facility, u...
AI Specialist
An AI Specialist is a professional focused on the development, implementation, and optimisation of artificial intelligence systems within various i...
Computer Vision Engineer
A Computer Vision Engineer develops systems that enable computers to interpret and understand visual information from the world. You might work in...
AI Consultant
An AI Consultant is responsible for guiding organisations in the adoption and implementation of artificial intelligence technologies to enhance bus...
AI Ethicist
An AI Ethicist examines the ethical implications of artificial intelligence technologies. You might work within technology companies, research inst...
AI Architect
An AI Architect is responsible for designing and implementing advanced artificial intelligence solutions that align with the strategic goals of an...
Bioinformatics Scientist
A Bioinformatics Scientist analyses complex biological data using computational tools and methods. You might work in research institutions, pharmac...
Predictive Modeller
A Predictive Modeller analyses data to forecast trends and outcomes that support decision-making processes in various industries. You might work in...
Sports Analyst
A Sports Analyst evaluates and interprets data related to sports performance and strategy. You might work with sports teams, media outlets, or rese...
Biomathematician
A Biomathematician applies mathematical principles and techniques to solve complex problems in biology and medicine. You might work in research ins...
About The University of Queensland
The University of Queensland (UQ) is one of Australia’s leading research and teaching institutions. We strive for excellence through the creation, preservation, transfer and application of knowledge. For more than a century, we have educated and worked with outstanding people to deliver knowledge leadership for a better world.
