Master of Data Science
A competitive edge in data science
Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities.
Our Master of Data Science places you at the forefront of this new field.
We give you the knowledge and skills to discover patterns and generate insights from complex datasets. Our flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and data science industry internship, to launch you into your next career.
What will you do during a Master of Data Science?
- Undertake a specialised introductory data science class (MATHS 7107 Data Taming) in your first study period.
- Build core skills in programming (Python, R, and Julia), mathematics and statistical data science.
- Learn how data science techniques can drive changes in organisations, industries and communities.
- Use data to answer questions in your chosen areas of interest.
- Apply your learning in a significant research project or internship.
How will you study?
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section.
Where could a Master of Data Science take you?
You might help large or small businesses use data to make more informed decisions in the face of uncertainty. You could analyse data to forecast trends and predict risk in industry, government, or science. Perhaps you’ll come up with innovative big data management systems as a data architect. Whatever you do, you’ll be at the cutting edge of one of the most rapidly-growing fields in the workforce right now.
This program is accredited by the Australian Computer Society (ACS) .
Advance your career in Data Science
Data is everywhere, in every industry. Make your next career move and study with the experts in Adelaide's world-class innovation district.
* US Global Rankings, 2023
^ ARWU, 2022
Entry Requirements
Choose your applicant type to view the relevant admissions
information for this program.
I am a:
Before applying make sure you understand the eligibility and entry requirements for your chosen degree.
Look out for any prerequisites or assumed knowledge subjects. Some degrees also have additional entry requirements like interviews and auditions.
Domestic applicants
| SATAC Code | 3CM246, 3CM275 |
|---|---|
| Deferment | Yes - 2 year |
| Intake | January, May and September |
| Prerequisites | SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods. |
Selection Criteria
| Higher Education Study | A completed Bachelor's degree and a minimum GPA of 4.5 |
|---|
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Admissions Transparency Data
Student Profile
Applicant background Semester one/Full year intake 2023 Number of students Percentage of all students International students 67 95.7% All students 70 100.0%
Ready to Apply?
Find out more about the application process and start your studies at the University of Adelaide.
Be sure to check the critical dates to avoid missing application deadlines.
ApplyFees and Scholarships
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Domestic applicants
| Indicative annual tuition fees |
Commonwealth-supported place: $8,945
|
Where the standard duration of the program is less than one year the full cost of the program is displayed.
Successful domestic applicants to the Master of Data Science will have access to a limited number of Commonwealth Supported Places, meaning a reduction of up to 80% off the course fees due to government subsidies. Offer subject to change.
To apply for a Commonwealth Supported Place, please include SATAC code 3CM275 on your SATAC application.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Careers
Professional Accreditation
The Master of Data Science is accredited by the Australian Computer Society .
Potential careers
Graduates of this program have gone on to roles such as:
Database Coordinator; Systems Analyst; Business Analyst; Business Consultant; Business Data Analyst; Computer Scientist; Data Analyst; Data scientist ; Scientific Data Analyst; Financial Systems / Computer Analyst ...
Degree Structure
The Master of Data Science is ideal for those students who have a background/qualifications in any professional field and are looking to upskill in this exciting, high-demand area. The curriculum has been designed to include all of the necessary computer science foundations for students to succeed. Students with relevant qualifications or experience can apply for advanced standing^.
To qualify for the Master of Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of not less than 48 units comprising:
- Core courses to the value of 15 units
- A research project to the value of 12 units
- Elective courses to the value of 21 units
- Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Study mode
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you*.
- Accelerated mode – 12 units (4 courses) per trimester
- Standard full-time mode – 24 units (8 courses) per year
- Part-time mode – 3 or 6 units (1 or 2 courses) per trimester
You can even choose the study load that works best for you at different times of the year.
^Further information on advanced standing is available here.
*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information.
Example Study Plan
| Core courses All of the following courses must be completed: |
COMP SCI 7210 Foundations of Computer Science A COMP SCI 7211 Foundations of Computer Science B MATHS 7027 Mathematical Foundations of Data Science MATHS 7107 Data Taming STATS 7022 Data Science PG |
| Research Project All of the following courses must be completed: |
MATHS 7097A Data Science Research Project Part A MATHS 7097B Data Science Research Project Part B |
Assessment
Students are required to undertake a research project, give a presentation, and write a report on their research. The project is normally completed over two consecutive trimesters.
Related Degrees
Testimonial
I wanted to study in a location which is student friendly, serene environment, and growing. This degree lays a very strong foundation to achieve a data science career.
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Last updated: Friday, 15 Mar 2024
