Updating Results

Monash University

  • 43% international / 57% domestic

Expert Master of Data Science

  • Masters (Coursework)

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.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
C6004, 085349A
Study Mode
In person
Intake Months
Feb, Jul, Oct
Domestic Fees
$33,600 per year / $67,200 total
International Fees
$42,800 per year / $85,600 total

About this course

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.

Study locations

Clayton

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Monash University.
69.9%
Overall satisfaction
78.4%
Skill scale
58.7%
Teaching scale
87.3%
Employed full-time
$90k
Average salary