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Master of Data Science (Applied)

Postgraduate | 2026

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Mode
Mode
Your study is delivered 100% online
100% Online
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Start date
Start date
The month you will commence your studies. Exact start date is outlined in the course timetable.
January, March, May, July, August, October
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Duration
Duration
Duration is approximate and based on a full-time study load.
2.7 year(s) part-time only (no full-time option)
Program code icon
Program code
XMDSA
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Study as
Part-time only (no full-time option)
Fees
Indicative annual fees
Indicative annual fees
Commonwealth Supported students are charged a portion of the cost of their higher education through a student contribution. Fee-Paying programs require the full tuition fees of your study, which can be deferred partly or in full to a FEE-HELP loan. This is based on the total number of units studied for this program on an annual full-time basis.
$26,442
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Prerequisite
Prerequisite
A prerequisite is a required course or/subject that you must have successfully completed before you can enrol into this program.
None
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Assumed knowledge
Assumed knowledge
Assumed knowledge, while not essential, is where you have a minimum level of understanding in the relevant course area.
Good knowledge of mathematical concepts. Should have completed SACE Stage 2 Mathematical Methods or equivalent.
Time commitment
Time commitment
Time commitment
We recommend that students dedicate 10-15 hours per week to each course, which includes time studying, engaging with learning resources, and completing assessments.
10-15 hours per week per course
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Answer a few short questions to determine your eligibility
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Entry requirements

Admission criteria

To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.

  • A completed bachelor (AQF level 7) degree or equivalent from a recognised higher education institution.
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Note:

Please note that entry requirements for this degree are provisional and subject to change.

Why Master of Data Science (Applied)?

Interpret patterns and trends. Unlock the power of data.

Data is the universal currency of our time. Across every organisation, sector and region it is being collected, analysed and utilised to enhance decision-making and drive innovation.

Adelaide University’s 100% online Master of Data Science (Applied) equips you with the cutting-edge skills to transform raw data into actionable insights. Top-level data scientists are in demand worldwide with opportunities only expected to grow – and we will put you within reach.

Whether you’re looking to enhance your career or pivot into a new field, this degree offers the practical knowledge and experience needed to excel in the complex world of data.

Program overview

Overview

Our flexible Master of Data Science (Applied) is taught 100% online and is designed to be studied part-time. Highly practical, this degree will equip you with the tools and techniques that are aligned with industry best practice. Drawing from all areas relevant to the economy, you’ll gain a strong awareness of data science’s capacity for enabling change and quality improvement.

Everything you learn is designed for impact and will be applicable in the real world – enabling you to gain more influence at work and to unlock leadership opportunities. In your degree, you’ll learn from content designed by practising industry-leading data scientists who are experts in their respective fields. Cover a range of topics from data visualisation and machine learning to Python A & B and finding hidden patterns. You’ll also combine and apply your learning in a significant workplace-based research project.

As the data science job market continues to thrive, organisations are employing data analysts to demystify today’s world. With skills transferable across every industry, perhaps you’ll work to prevent cyber attacks, strengthen computer systems or launch innovative start-ups.

What you'll learn

In our 100% online Master of Data Science (Applied) you’ll have the freedom to study on your own terms. You can even upskill faster by completing one course every six weeks. Study a range of core computer and data science courses, that you’ll complete in approximately 2.7 years of part-time study.

Start your studies with an introduction to the foundations of computer sciences including Python A & B, as well as applied data science practices. You’ll also explore the human and ethical factors in computer science, applying your knowledge to real-world scenarios and case studies. You’ll practice modern methods of finding hidden patterns and using machine learning tools. Learn how to work with big data and how it can be applied to businesses and cybersecurity networks. Round out your studies with research courses that will teach you how to tackle complex data challenges using your newfound knowledge and expertise.

Learn real-world languages and programs including Python, R & R Studio, NumPy, Matplotlib and Pandas. Strengthen your command of these sophisticated data science tools through practical and real-world learning. Our coursework is industry-aligned meaning you’ll work with the same tools and database systems that top data scientists use. Graduate ready to step straight into the workplace and influence industry.

Prepare for future job applications by completing a data science research project in your final year. You’ll undertake two research projects based within a workplace or industry context. The final products can form part of your portfolio for future employers.

Assessments and coursework are 100% online and will include quizzes, case studies, scenarios and simulations.

What courses you'll study

Complete 96 units comprising:

  • 96 units from Core courses

Complete exactly 96 units from the following:

Course name Course code Units
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Course name
Using Machine Learning Tools PG
Course code
ARTI5005
Units
6
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Course name
Business Data & Cyber Security (M)
Course code
BUSI5089
Units
6
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Course name
Foundations of Computer Science - Python A
Course code
COMP5057
Units
6
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Course name
Foundations of Computer Science - Python B
Course code
COMP5058
Units
6
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Course name
Big Data Analysis & Industry Project
Course code
COMP5061
Units
6
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Course name
Research Methods
Course code
COMP5062
Units
6
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Course name
Human and Ethical Factors in Computer Science
Course code
COMP6029
Units
6
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Course name
Data Taming, Modelling and Visualisation
Course code
INFO5043
Units
6
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Course name
Applied Data Science
Course code
INFO5044
Units
6
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Course name
Applications of Data Science
Course code
INFO5045
Units
6
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Course name
Real Data: Modern Methods for Finding Hidden Patterns
Course code
INFO5046
Units
6
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Course name
Working with Big Data
Course code
INFO6017
Units
6
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Course name
Data Science Research Project A
Course code
INFO6018
Units
0
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Course name
Data Science Research Project B
Course code
INFO6019
Units
12
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Course name
Mathematical Foundations of Data Science
Course code
MATH5022
Units
6
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Course name
Applied Data Science and Mathematics
Course code
MATH5023
Units
6
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Course name
Decision Sciences
Course code
MATH6018
Units
6
How to Apply

How to apply

Applications are open for Australian students to study at Adelaide University in 2026.

Your study experience and support

Studying 100% online with Adelaide University means joining a dynamic community of learners – all supported by dedicated teams committed to your success. From day one to graduation, you’ll have access to comprehensive academic, student and technical support teams to ensure you get the most out of your online learning journey. 

Student support services

Need help with enrolments, managing your study load, or setting your academic goals? Our student support team is here to assist. They’re your first point of contact for advice and are available seven days a week, including out-of-hours and on weekends. Get the help you need – when it suits you.

As an online student, you’ll also have access to our specialised on-campus student support services. Whether you’re looking for career advice, health and wellbeing support, international student assistance, accessibility services, or something else, we’ve got you covered. Visit the Support webpage to explore the services available. 

Online academic support

From understanding course content to tackling assignments, writing, and referencing, our expert academics are here to guide you. Available seven days a week, they’ll provide personalised support to help you progress through your studies.

Tech support

We’ve got your back when it comes to technology. Our IT support team is available 24/7 to resolve any tech challenges you might face. With fast response times and tailored solutions, we’ll ensure nothing stands in your way. You’ll also enjoy free access to software downloads required for your program.

Study hours

Adelaide University’s 100% online programs offer the flexibility to fit your lifestyle. You can engage with course materials at any time that works for you – there’s no need to log in at set times. To stay on track, we recommend setting aside 10 to 15 hours per week for each course, but you can adapt your schedule and your study load to suit your needs. 

Assessment

All assessments, including exams (if required) are conducted 100% online – so you’ll never need to travel to submit an assignment or sit an exam. Depending on your program, your assessments might include: 

  • An industry-relevant project or case study 
  • An online presentation 
  • Essays and reports.