Solve big data challenges
With the rise of big data and its importance to organisational decision-making. Data scientists are now an essential component of any successful data-driven decision-making organisation.
Learn visual data modelling
Your pathway to data science
Use python programming to convert data into actionable insights
Support seven days a week
Learning advice and study assistance
Dedicated support services designed for your study discipline.
Accelerated & 100% online
Study that’s flexible
Coursework and assessments designed to fit around your needs.
Shape high-level decision-making
With the rise of big data and its importance to organisational decision-making, data scientists are now an essential component of any successful organisation. Many industries look to data scientists to collect, manage and interpret large sets of raw information so that business strategy can be driven by statistical analysis.
A career in applied data science is exciting, forever in flux, and there’s almost no limit to where it can take you. Data is only as valuable as the data scientist with the creativity and skill set to interpret and draw insights from it. This is where you come in.
What you will learn
- Python programming
Learn the ways the Python programming language is used to implement data structures and algorithms to solve problems.
- Data modelling and visualisation
Build your knowledge of the statistical modelling foundations that underlie data analytics.
- Data wrangling
Take data in its raw form and convert it into actionable insights.
Our worldwide rankings
Monash University holds high rankings domestically and internationally for research and teaching excellence.
Pathway to a masters degree
You can graduate with a Graduate Diploma of Applied Data Science in approximately 1.4 years part-time accelerated, after completing 8 units (48 credit points).
You can also:
- exit the course after completing approximately 0.7 years part-time accelerated, 4 units (24 credit points), and you’ll receive a Graduate Certificate of Applied Data Science; or
- continue studying after completing approximately 2 years part-time accelerated, 12 units (72 credit points total), and you’ll receive a Master of Applied Data Science
Applied Data Science
Graduate Certificate
0.7 years part-time accelerated
- Introduction to databases
- Mathematical foundations for data science and AI
- Introduction to data science
- Introduction to Python
Applied Data Science
Graduate Diploma
0.7 years part-time accelerated
- Data wrangling
- Statistical data modelling
Choose one of the following units:
- Data exploration and visualisation
- Applied data analysis
- Machine learning
- Data processing for big data
- Data analysis for semi-structured data
- Applied practice 1
Applied Data Science
Master
0.7 years part-time accelerated
Choose three of the following units
- Data exploration and visualisation
- Applied data analysis
- Machine learning
- Data processing for big data
- Data analysis for semi-structured data
- Applied practice 2
Structure
This course consists of eight units. You will complete core studies in introductory applied data science, data wrangling and statistical data modelling, then select units from across a range of areas where you can tailor the course to suit your own interests.
If you do not meet course requirements in programming, databases or mathematics/statistics, you must complete up to a maximum of two foundation units prior to commencing your core studies.
Need further clarification about our online course structure?
You can submit an enquiry directly to our student consultants by using the form listed on our contact us page. You’ll have the opportunity to schedule a call if you’d like to receive further information.
Part A. Foundation studies
You must complete the following units:
Introduction to databases
Mathematical foundations for data science and AI
Introduction to Python
Part B. Core studies
You must complete the following units:
Introduction to data science
Data wrangling
Statistical data modelling
Part C. Specialist unit
You must complete one of the following units:
Data exploration and visualisation
Applied data analysis
Machine learning
Data processing for big data
Data analysis for semi-structured data
Part D. Applied practice
You must complete the following unit:
Applied practice 1
Entry Requirements
Entry level 1 – 48 points to complete
Duration: 1.4 years part-time
An Australian bachelor degree (or equivalent) in a relevant discipline, with at least a credit (60%) average.
Entry level 2 – 24 points to complete
Duration: 0.7 years part-time
A Monash University Graduate Certificate of Applied Data Science with at least credit (60%) average.
English requirements
Applicants must meet the English language requirements.
University entrance requirements
Minimum entrance requirements apply for admission to Monash University Australia.
If you need help understanding the above entry requirements, reach out to our student consultants on our contact us page and schedule a booking for a chat.
Fees
For the Graduate Diploma of Applied Data Science, the estimated cost is $5,200 per unit. You may be eligible to receive a FEE-HELP loan to cover part or all of your tuition. Fees are subject to change annually.
Scholarships
We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.
Looking for clarification on fees, FEE-HELP or scholarships?
Enquire with our student consultants and schedule a call to get your questions answered.
Career outcomes
The workplace of the future is an exciting and dynamic place. A Graduate Diploma of Applied Data Science degree is designed to equip you with the necessary skills to succeed in a constantly changing global environment.
What does the future look like for Data Scientists?
With rising demand for this profession, experienced data scientists are highly sought-after and well-paid.
Salary
$125,000
STAR RATING
4.1 / 5
Industry Growth
+27.7%
The best aspect of my experience studying this course has been engagement with the tutors who have industry experience in what they are teaching so it is not solely theory, but they know how it applies in practice.
Andrew Stedall
Graduate Diploma of Applied Data Science
Applied Data science online at Monash
Designed by leading Monash academics, this course is your opportunity to learn from industry experts. Build on your network and practical experience through coursework based on the Faculty of Information Technology’s own research.
The data you’ll work with in each of your units is derived from industry-based projects in the real world. This ensures that the skill set you develop is grounded in a sophisticated simulation of real-world professional practice.
Meet your academic team
Dr Yi-shan Tsai
Online Course Director
Dr Yi-Shan Tsai is a Senior Lecturer in the Faculty of Information Technology and a member of the Centre for Learning Analytics at Monash (CoLAM). She is also a member of the Digital Education Research Group at Monash and an associate scholar of the Centre for Research in Digital Education and the Centre for Research in Education Inclusion and Diversity at the University of Edinburgh.
Dr Yasmeen George
Deputy Course Director
Dr Yasmeen George is a Lecturer with data science and AI department at Monash Faculty of Information Technology with over a decade of interdisciplinary research experience in AI for healthcare analytics. She received her Ph.D. from the University of Melbourne in 2018 (Australia), Master of Computer Science (by research) in medical image analytics in 2013 from the University of Ain Shams (Egypt).
Dr Guanliang Chen
Deputy Course Coordinator
Dr Guanliang Chen’s research applies state-of-the-art language technologies to make use of textual data collected in a range of educational settings. His research focuses on the fairness, accountability and transparency of machine learning techniques and the collection of quality educational materials. He holds a PhD in Computer Science from Delft University of Technology.
Frequently Asked Questions
What is the difference between the Graduate Diploma of Applied Data Science and Graduate Certificate of Analytics?
What's the difference between Artificial Intelligence (AI) and Machine Learning?
What skills do I need for machine learning and data science?
Studying online, the Monash way
Courses designed for online
Gain a world-class education, delivered through a dynamic virtual classroom and taught by leading academics.
Support seven days a week
You’ll have ongoing access to dedicated support services that have been specifically designed for your discipline.
Equipped for career success
You’ll graduate as an in-demand employee, ready to take the next step in your career.
Download a course guide
Fill in your details to download an interactive course guide containing:
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course information
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career pathways
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how online study works
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how to apply
Monash Online is a partnership between Monash University and Online Education Services (OES). Learn more.