Data Science - C6004
Expert master degree
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
Course Details
Location |
|
|---|---|
Duration |
1.5 or 2 years full-time depending on prior qualifications. See entry requirements. |
Start date |
Semester One (February), Semester Two (July) |
Qualification |
Master of Data Science |
Data Science
Entry Requirements
You need to satisfy the following entrance requirements to be considered for entry to this course.
Minimum Entry Requirements (International students)
Qualifications
Entry level 1: | An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a 60% average. |
Entry level 2: | An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including programming, databases, and mathematics, with at least a 60% average. |
English entry requirements
Level A
| IELTS (Academic): 6.5 Overall score, with minimum band scores: Listening 6.0, Reading 6.0, Writing 6.0 and Speaking 6.0 | Pearson Test of English (Academic): 58 Overall score, with minimum scores: Listening 50, Reading 50, Speaking 50 and Writing 50 | TOEFL Internet-based test: 79 Overall score, with minimum scores: Reading 13, Listening 12, Speaking 18 and Writing 21 | Equivalent approved English test |
University entrance requirements
Minimum entrance requirements for admission to Monash University Australia.
The course structure can be viewed in the Handbook. You can also view the course map at (https://www.monash.edu/students/handbooks/maps).
Making the application
Future students
Current Monash students
Current Monash students should apply for an internal transfer.
Self assess for credit eligibility
Check for study credit using the "Credit search" link on the Credit for prior study page
Fees
Fees are subject to change annually.
International fee
Please note: The fee information displayed is based on the 2022 rates and should only be used as a guide.
Fees are per 48 credit points which represents a standard full-time course load for a year.
A$44,900
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.
Enrolment Obligations
International students enrolling in a CRICOS-registered course can study no more than one third (33%) of their course by distance and/or online learning. Students must enrol in at least one unit that is not by distance and/or online in each compulsory study period unless the student is completing the last unit of their course. See standard 8.19 and 8.20 of National Code of Practice for Providers of Education and Training to Overseas Students 2018.
CRICOS code: 085349A
