Master of Data Science (Global)
Deakin is among the top
universities worldwide
With credentials from leading universities, graduates of the Master of Data Science (Global) from Deakin University in Australia become prime candidates for accelerated career progression in the data science field.
#11
Best Universities for Education and Educational Research
*U.S. News Best Global Universities list
Top 1%
Deakin Ranked among Universities Worldwide
*ShanghaiRankings
World Education Services (WES) Recognized
Victorian Government Award 2020
22+ Languages and Tools Covered Comprehensive curriculum
Specially designed for working professionals & delivered by leading faculty
Python
Pandas
Numpy
Matplotlib
Seaborn
Scikit Learn
Hugging Face
LangChain
Experience a unique learning journey
Earn a Master of Data Science degree from Deakin University. Additionally, get PG Certificates in “AI and Machine Learning” or “Data Science with Generative AI” from the McCombs School of Business at The University of Texas at Austin
-
Year 1
PG Program by Texas McCombs
Join PG Program in AI or Data Science and start your first year with Texas McCombs .
![University Logo]()
-
Year 2
Master of Data Science (Global) Program
Continue your learning with the online Master of Data Science (Global) from Deakin University.
![University Logo]()
Get the Deakin Advantage
-
Live Virtual Classes by Deakin Faculty
-
Become job-ready by applying what you learn and build real-life projects
-
Dedicated program support
-
Deakin Credentials to access the alumni portal
-
Join over 300,000 Deakin graduates and fellow alumni across the globe.
Learn from renowned faculty
-
![Dr. Sutharshan Rajasegarar]()
Dr. Sutharshan Rajasegarar
Senior Lecturer in Computer Science
![deakin]()
-
![Dr. Ye Zhu]()
Dr. Ye Zhu
Senior Lecturer, Computer Science
![deakin]()
-
![Dr. Bahareh Nakisa]()
Dr. Bahareh Nakisa
Lecturer, Applied Artificial Intelligence
![deakin]()
-
![Dr. Asef Nazari]()
Dr. Asef Nazari
Senior Lecturer in Mathematics for Artificial Intelligence
![deakin]()
-
![Gang Li]()
Gang Li
Associate Professor
![deakin]()
-
![Dr. Marek Gagolewski]()
Dr. Marek Gagolewski
Senior Lecturer, Applied Artificial Intelligence
![deakin]()
-
![Maia Angelova Turkedjieva]()
Maia Angelova Turkedjieva
Professor, Real-World Analytics
![deakin]()
-
![Dr. Kumar Muthuraman]()
Dr. Kumar Muthuraman
Faculty Director, Centre for Research and Analytics
![maccomb]()
-
![Prof. Dan Mitchell]()
Prof. Dan Mitchell
Assistant Professor
![maccomb]()
-
![Prof. Abhinanda Sarkar]()
Prof. Abhinanda Sarkar
Faculty Director
![gl_logo]()
Our learners stories of success
-
The projects I worked on during the program have positively impacted how I approach real-world analytics, and the skills I’ve developed have allowed me to assume leadership responsibilities in the analytics space immediately.
Jake Tolentino
Data Scientist, Associate Manager
-
The learning content is fantastic, and the video format gives you an opportunity to revisit concepts over and over. This, coupled with the practical examples, makes the work meaningful.
Faris Slewa Dawod
Software Development Engineer
