Master of Data Science (Applied) Online
2.7 years part-time
MDSA
Eligible for Fee-HELP. Learn more
Jan, Mar, May, Jun, Aug, Oct
Online
Course Overview
Command the most sophisticated data science tools through our real-world learning, with your hands-on expertise ready to take into the workplace immediately.
Let our reputation enhance yours. By learning directly from data scientists who are at the forefront of their field, you're guaranteed an exceptional quality of learning and industry recognition.
Everything you will learn is tethered to the real world and designed for impact. Graduate from a top 1% university, gain more influence at work and unlock leadership opportunities.
Why study data science with us?
Real-world languages and tools
Flexible online learning
Studying data science online gives you the freedom to study on your terms.
How long is each subject? Upskill faster by completing one course every six weeks.
What should I expect? Strengthen your command of the most sophisticated data science tools through practical, real-world learning. All coursework is industry aligned - so you’ll be working with messy data sets and experiencing the same tools and database systems that top data scientists use today. Your hands-on expertise will be ready to take into the workplace immediately.
The University of Adelaide has partnered with Boundless Learning, a leading global learning company, to deliver this degree 100% online. The Partnership has been established to deliver the very best experience and learning outcomes to all our students. Students will be awarded a University of Adelaide qualification and this degree meets the University's highest quality standards.
*QS Graduate Employability Ranking 2022.
What skills will I gain?
What skills will I gain?
Through the Master of Data Science (Applied), you will experience:
- extracting meaningful information by manipulating real-world, messy datasets with Python and R
- using best-in-class tools, techniques and theories
- fail-safe communication tactics
- the strategic impact of data science within various industry contexts
- technical data practice and management
- how to follow ethics, codes of conduct and other standards.

Meet our alumni
'I've become highly visible at work because I can marry our business needs with the technical. I'm the glue.'
Nazzeef Nazri, MDS Online Student and Data & Analytics Manager.
What will my data science assignments be?
All assessments and coursework are 100% online. Types of assessments include:
- quizzes
- case studies
- scenarios
- simulations.
Download a brochure to learn more.
Contact us now
Contact us now
Get your questions answered
Hours: Monday – Thursday, 8.30am to 5pm (ACST/ACDT), Friday, 8.30am to 4.30pm (ACST/ACDT).
We can help you with:
- entry requirements
- curriculum
- key dates & intakes
- your unique situation
- finance.

The data science job market is growing as organisations employ large numbers of data specialists and data analysts to demystify today’s world. Be at the forefront of this exciting career opportunity, no matter what your background is.
Data Science skills are transferable to virtually any industry: big companies, the public sector and innovative startups are all offering data scientists competitive salaries to help them unlock the way forward.
Healthcare is increasingly being targeted by cyber criminals. Strengthen and monitor the health sector’s systems by conducting checks and benchmark data - using your skills gained from our data science courses.
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Human and ethical factors in computer science - COMP SCI 7212OL
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Data taming, modelling and visualisation - DATA 7201OL
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Foundations of computer sciences: Python A* - COMP SCI 7210OL
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Applied Data Science - DATA 7202OL
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*Applied Data Science and Mathematics - MATHS 7203OL
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Foundations of computer sciences: Python B* - COMP SCI 7211OL
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Applications of data science - DATA 7301OL
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Mathematical Foundations of Data Science - MATHS 7027OL
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Real data: Modern methods of finding hidden patterns - DATA 7302OL
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Big data analysis and industry project - COMP SCI 7319OL
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Using machine learning tools - COMP SCI 7317OL
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Working with big data - DATA 7203OL
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Business data and cyber security - COMMGMT 7023OL
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Decision sciences - APP MTH 7201OL
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Research methods - COMP SCI 7415OL
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Data science research project* - DATA 7303AOL & 7303BOL
Master of Data Science (Applied)
Academic entry requirements
To be eligible for the 100% online Master of Data Science (Applied) and the Graduate Diploma in Data Science (Applied) you will need to meet the following entry requirement:
1. A completed bachelor's degree or equivalent in any discipline with a minimum GPA of 4.5 (7.0 GPA scale).
What kind of maths background do I need?
While there is no requirement to have a mathematical background to enter the program, it is important to have a solid grasp of core mathematical concepts before undertaking a data science program as almost all of the techniques are underpinned by maths. You should have completed Mathematical Methods (or equivalent) during Senior Secondary School*.
Students who have not completed Mathematical Methods Level 2 (or equivalent) will be simply be required to complete Applied Data Science and Mathematics (MATHS 7203OL) in their first carousel, instead of Applied Data Science. In this course you will be introduced to the role and application of data science in modern organisations and societies and the fundamental mathematical tools used by data scientists.
Your Enrolment Advisor will be able to advise on the best path for you depending on your background.
*If you studied algebra and calculus during your undergraduate studies, you may not need to provide evidence of completing SACE Stage 2 Mathematical Methods. Your bachelor’s degree transcript may suffice if it details these mathematics courses. Please contact 1300 293 830 or speak to your Enrolment Advisor for further information.
English language requirements
In order to meet the English language proficiency requirements for our 100% online postgraduate programs, you must be able to demonstrate that you meet the minimum English Language requirements.
Typically, if English is your first language you will not be required to provide evidence of English language proficiency. You will also not be required to provide evidence of English language proficiency if you are an Australian citizen, Australian Permanent Resident (visa status) or hold a passport from one of the following countries: Canada (English-speaking provinces only), New Zealand, the Republic of Ireland, the United Kingdom and the United States.
To learn more, visit the English Language Proficiency Requirements for detailed information about these requirements, including acceptable English language tests.
We also recommend that you speak to an Enrolment Advisor to discuss options that are specific to your circumstances. You can schedule a call here.
How to apply
Confirm the application close date of the next teaching period by checking the Important Dates page to avoid missing out. Create an account via the University of Adelaide Application Portal.
It is possible to enrol in either the graduate certificate, graduate diploma or masters program. If you wish to apply for the graduate diploma or masters, you will need to provide proof that you have completed the required level of mathematics.
Complete application form and upload supporting documents which include:
- valid photo ID (passport or driver's licence)
- proof of citizenship / permanent residency
- transcripts from your complete bachelor's degree or equivalent
- proof of completion of Mathematical Methods or equivalent (if applicable)
- change of name documents if applicable (e.g marriage certificate)
- English language requirements (if you are an international applicant).
You’ll be hearing from our enrolment team in the coming weeks who will confirm the outcome of your application.
Graduate Certificate in Data Science (Applied)
To be eligible for the 100% online Graduate Certificate in Data Science (Applied), you will need to meet the following requirement:
- A completed bachelor's degree or equivalent in any discipline with a minimum GPA of 4.5 (7.0 GPA scale).
What is the total cost?
$70,512 or $4,407 per course (2025 fees). Please note that the data science research project is two courses.
Find more information on fees for domestic students, including annual fees and fee increases, in the Fees (domestic students) section.
Is there FEE-HELP available?
Yes, Australian citizens are eligible for a HELP loan. You must also be enrolled in a program with the University of Adelaide by the enrolment deadline (census), and have not reached the HELP loan limit.
Once you have been offered a place in a University of Adelaide program, you will be able to apply for a HELP loan as a part of the enrolment process. Please see our FAQs section for further details.
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Is math important in a Master of Data Science?
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Who is eligible for a Master of Data Science?
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Can I study a Master of Data Science without a Bachelor's degree?
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Are data science qualifications worth it?
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Is it possible to learn data science online?
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What is the weekly workload when studying the Master of Data Science?
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How long is the weekly workload when studying the Master of Data Science?
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Am I eligble for Recognition of Prior Learning (RPL) and what is the maximum for the Master of Data Science?
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What kind of data software is taught in the Master of Data Science?
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Can I study the Master of Data Science if I have never done programming before?
Get in touch
Get in touch
Our Expert Advisors are available
Hours: Monday – Thursday, 8.30am to 5pm (ACST/ACDT), Friday, 8.30am to 4.30pm (ACST/ACDT).
We can help you with:
- entry requirements
- curriculum
- key dates & intakes
- your unique situation
- finance.

Download a brochure now
Download a brochure now
Request a brochure to learn more about:
- data science pathway
- program directors
- learning and career outcomes
- complimentary support services
- application process
- research project online
- assessments and more.

Apply now
Create an account to start your application
Applying for the online Master of Data Science is a quick and easy process. Find out if your application was successful in as soon as 2-5 days.
Want to better understand the application process?
Book a 1:1 call now with our enrolment advisors and we can walk you through the application process — from how to meet the entry requirements through to enrolling in your first subject.