Master of Data Science
A competitive edge in data science
Big data and data science is an emerging area of necessity for many fields—from science and engineering to economics and digital humanities.
Our Master of Data Science explores how data is changing our world. We give you the knowledge and skills to contribute in the areas you care about.
What will you do?
- Undertake a specialised introductory IT program in your first semester.
- Build core skills in programming, mathematics and data science.
- Learn how data science techniques can drive changes in organisations, industries and communities.
- Advance your abilities in chosen areas of interest.
- Combine and apply your learning in a significant project.
Where could it take you?
You might help big businesses use data to make more informed decisions in the face of uncertainty. You could analyse data from apps to drive UX updates. Perhaps you’ll come up with innovative management systems as a data architect.
Choose your applicant type to view the relevant admissions information for this program.
I am a:
SATAC Code 3CM203 Deferment Yes - 2 year Intake February and July Enquiries Future Students teamGraduate entry
Prerequisites University level Maths IB or equivalent. Please note: From Semester 2, 2019 onwards, the subject prerequisite will be SACE Stage 2 Mathematical Methods (or equivalent). Higher Education Study Bachelor degree or equivalent with a minimum GPA of 4.5. Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the Big Data MicroMasters program with a minimum overall score of 65 percent.SATAC Code: 3CM203
CRICOS 094326M Intake February and July
English Language Requirements
Australian Year 12 Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject English Tests accepted by the University of Adelaide IELTS Overall 6.5 Reading 6 Listening 6 Speaking 6 Writing 6 TOEFL Overall 79 Reading 13 Listening 13 Speaking 18 Writing 21 Pearsons Overall 58 Reading 50 Listening 50 Speaking 50 Writing 50 Cambridge Overall 176 Reading 169 Listening 169 Speaking 169 Writing 169 Qualifications that meet minimum English requirements A range of alternative qualifications may meet the University’s minimum English requirements
Academic Entry Requirements
Tertiary Qualifications Bachelor degree or equivalent with a minimum GPA of 4.5. Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the Big Data MicroMasters ï¿½ program with a minimum overall score of 65 percent.
Australian Year 12 University level Maths IB or equivalent. Please note: From Semester 2, 2019 onwards, the subject prerequisite will be SACE Stage 2 Mathematical Methods (or equivalent). International Qualifications SACE Stage 2 Mathematical Methods (or equivalent)
Fees and Scholarships
Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:
Annual tuition feesAustralian Full-fee place: $36,000
Annual tuition fees International student place: $43,000
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Business Consultant, Database Coordinator, Engineer, Financial Systems / Computer Analyst, Scientific Data Analyst, Systems Analyst, Information Analyst, Information Technologist, Information and Communications Technologist, Business Analyst, Business Data Analyst, Computer Scientist, Data Analyst, Data scientist
Degree StructureThe 48-unit master's program normally takes four semesters of full-time study. However, credit in core courses to the value of 12 units on account of successful completion of the MicroMasters in Big Data with a minimum overall score of 65 per cent, is possible. As part of the 48 units, students are required to undertake a research project, deliver a public presentation and write a report on their research. The project is normally completed over two consecutive semesters.
Example Study PlanStudy plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.
AssessmentResearch project, written assignments, practical work and/or examinations.
The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
Last updated: Tuesday, 3 Sep 2019