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.
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.

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.
Key features
Develop advanced understanding of computer science and programming, including the use of Python.
Explore contemporary issues and regulatory standards.
Discover key mathematical concepts as well as critical cybersecurity principles and techniques.
Study 100% online, whenever and wherever suits you.
Learn cutting-edge modelling and event simulation methods.
Apply your learning in a significant workplace-based research project.
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 | |
---|---|---|---|
Course name
Using Machine Learning Tools PG
|
Course code
ARTI5005
|
Units
6
|
|
Course name
Business Data & Cyber Security (M)
|
Course code
BUSI5089
|
Units
6
|
|
Course name
Foundations of Computer Science - Python A
|
Course code
COMP5057
|
Units
6
|
|
Course name
Foundations of Computer Science - Python B
|
Course code
COMP5058
|
Units
6
|
|
Course name
Big Data Analysis & Industry Project
|
Course code
COMP5061
|
Units
6
|
|
Course name
Research Methods
|
Course code
COMP5062
|
Units
6
|
|
Course name
Human and Ethical Factors in Computer Science
|
Course code
COMP6029
|
Units
6
|
|
Course name
Data Taming, Modelling and Visualisation
|
Course code
INFO5043
|
Units
6
|
|
Course name
Applied Data Science
|
Course code
INFO5044
|
Units
6
|
|
Course name
Applications of Data Science
|
Course code
INFO5045
|
Units
6
|
|
Course name
Real Data: Modern Methods for Finding Hidden Patterns
|
Course code
INFO5046
|
Units
6
|
|
Course name
Working with Big Data
|
Course code
INFO6017
|
Units
6
|
|
Course name
Data Science Research Project A
|
Course code
INFO6018
|
Units
0
|
|
Course name
Data Science Research Project B
|
Course code
INFO6019
|
Units
12
|
|
Course name
Mathematical Foundations of Data Science
|
Course code
MATH5022
|
Units
6
|
|
Course name
Applied Data Science and Mathematics
|
Course code
MATH5023
|
Units
6
|
|
Course name
Decision Sciences
|
Course code
MATH6018
|
Units
6
|

Career outcomes
Graduate ready to play a leading role in meaningful and rewarding work across a range of fields. With data science, you’ll transform complex information into impactful solutions that drive real-world change in sectors including business, construction, defence, energy, sports and healthcare.
You might help local governments analyse city data to optimise traffic flow and enhance overall urban living experiences. You might develop machine learning models to identify and prevent fraudulent transactions in real-time for banks and financial institutions. Perhaps you’ll give not-for-profits the insight they need to invest in services where the community needs them most.
Careers also include:
- Biostatistician
- Business consultant
- Business data analyst
- Data analyst
- Data scientist
- Database coordinator.
Industry trends
Data science roles are expanding beyond traditional tech industries, with sectors such as healthcare, finance, retail and government increasingly relying on data analytics for decision-making. According to ACS Australia’s Digital Pulse (2023), 1.8 million new tech skills will be needed by 2030. That’s approximately 445,000 more technology skilled workers, or 37% yearly growth by 2030, to be competitive with international markets. With an Adelaide University degree in data science, you’ll be set for a long and rewarding career in our digital world.
Ask Adelaide University
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.
