Data Science - C6004
Expert master degree
As students plan studies amid difficult and changing global circumstances, Monash University remains committed to offering flexibility and choice. If you're unable to start this course in Australia, due to COVID-19 restrictions we have additional study options available.
- This course is available as part of our new online November intake. You can start your degree in November 2020 and complete four units before the academic year commences in March 2021. Learn how you can accelerate your studies with our new November Intake.
- You can also start this course on-campus at Monash University Malaysia in semester one 2021, then continue in Australia once restrictions are eased. Find out more.
Data Scientists are in demand in the information age, where big data is ever changing and ever challenging. Data Science extracts value from data assets, helping us understand the past, better manage the present, and effectively plan for the future. It plays a critical role in advancing industry, commerce, governance and research so graduates skilled in this area are highly sought after.
The Master of Data Science (MDS) teaches you how to explore data and discover its potential – how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations. With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing – skills needed in this fast-growing field.
The MDS expands your knowledge of the analytical, organisational and computational aspects of data. You learn to manage data and gain an understanding of its impact on society.
The MDS caters to students from a variety of backgrounds by including foundation units in programming, databases and maths or statistics. However, if you have this background from previous studies or work experience, you may accelerate your study with an exemption from these units, or choose to take more data science electives.
The core coursework covers data science objectives, data analysis, data pre-processing and visualisation. You then select data science electives such as machine learning, learning from semi-structured data like text, and big data handling. Your course electives allow you to build deeper skills in data analytics and machine learning.
Our highly regarded faculty takes great pride in developing the most up-to-date material while maintaining a solid core of established theory and platforms, including Python and R (two of the most popular open-source programming languages for data analysis), Hadoop and Spark (for distributed processing). You also gain hands-on experience with state-of-the-art tools and get exposure to key industry players.
In your final semester, you will take part in an Industry Experience team project, working with industry mentors to develop data-driven IT solutions. Or you will undertake a minor-thesis research project, investigating cutting-edge problems under the supervision of internationally recognised researchers.
Students wishing to exit early can complete with a Graduate Certificate or Graduate Diploma of Data Science.
At a glance
|1, 1.5 or 2 years full-time depending on prior qualifications. See entry requirements.|
|Semester One (February), Semester Two (July)|
|Master of Data Science|