Master of Applied Data Science
20-24 hours per week
Jan, Mar, May, July, Aug, Oct
Bridge the gap between businesses and data science by implementing innovative data structures.
The future of data technology is in your hands
Technology is continually accelerating and evolving, and with it, the demand for data scientists will continue to rise. The Master of Applied Data Science prepares the new generation of data scientists with the skills they need to revolutionise the future of data science.
Your master’s degree will focus on developing your core data analytic and problem-solving skills by teaching you contemporary techniques to transform data into actionable information. The Master of Applied Data Science provides the opportunity to apply your knowledge to practical projects so you can find your own place in the world of data science.
What you will learn
- Contemporary data exploration
Learn how to apply contemporary data exploration techniques and machine learning methods to real-world data science issues.
- Data science lifecycle and analysis
Plan and develop data analytics projects in a specific area to gain your own unique insight into the data science process.
- Policy, ethical and legal issues
Learn how to ethically collect, store, prepare and stream data in adherence to industry laws and policies.
This course is structured in four consecutive parts:
- Part A. Foundational studies: these studies will provide a foundation for applied data science.
- Part B. Core studies: these studies will provide an orientation and draw on best practices within the broad field of data science practice and research. Your studies will focus on fundamentals and core knowledge.
- Part C. Specialist studies: the focus of these studies is specialising in the area of data science.
- Part D. Applied practice: the focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development.
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. Foundational studies
Part B. Core studies
Part C. Specialist studies
Entry level 1: 72 credit points to complete
Duration: 2 years part-time
An Australian bachelor degree in a relevant discipline, with at least a credit (60%) average, or equivalent qualication approved by the faculty.
Entry level 2: 48 credit points to complete
Duration: 1.4 years part-time
A Monash University Graduate Certificate of Applied Data Science with at least credit (60%) average or equivalent.
Entry level 3: 24 credit points to complete
Duration: 0.7 years part-time
A Monash University Graduate Diploma of Applied Data Science with at least credit (60%) average or equivalent.
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.
For the Graduate Certificate of Applied Data Science, the estimated cost is $4412.50 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.
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 fee’s or scholarships?
Enquire with our student consultants and schedule a call to get your questions answered.
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 Jackie Rong
Dr Jackie Rong is the course director of the Master of Data Science at Monash University. She has nearly 15 years of experience in tertiary education across Australian universities. She is an active researcher in data mining, machine learning, deep learning and digital health analytics.
Dr Lei Yang
Dr Lei Yang is a Data Science lecturer and deputy course director of Master of Data Science. Before he joined Monash, he was a senior system engineer in Nokia and was mainly responsible for the 4G and 5G research and development. His current research interest includes 5G, signal processing, IoT, big data and machine learning.
Dr Guanliang Chen
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.
I am currently in a career transition phase, working to become a full-time software engineer; all this made possible by the excellent pathways Monash has created.
Monash Online Graduate
An applied data science qualification will prepare you for work in a wide range of careers specialising in data analysis, including as a:
- data scientist
- business analyst
- data analyst
- data architect.
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.