Data Science - C6004

Data Science

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.

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At a glance

Course Details

Location
  • On-campus at Clayton: Full time
Duration
1, 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
Course Handbook

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

Depending on prior qualifications:

Entry level 1:
Duration: 2 years full-time, 4 years part-time (96 points to complete)

An Australian undergraduate degree, not necessarily in IT, with at least a 60% average, or qualification deemed by the faculty to be a satisfactory equivalent.

Entry level 2:
Duration: 1.5 years full-time, 3 years part-time (72 points to complete)

An Australian undergraduate degree 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, or qualification deemed by the faculty to be a satisfactory equivalent.

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 50TOEFL 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 is structured in three parts, A, B and C. All students complete Part B (core studies). Depending upon prior qualifications, you may receive credit for Part A (foundation studies) or Part C (advanced studies) or a combination of the two.

Note that if you are eligible for credit for prior studies you may elect not to receive the credit.

Making the application

Future students

Semester one (February)

Apply directly to Monash using course code C6004

Apply

Semester two (July)

Apply directly to Monash using course code C6004

Apply

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

Fees are per 48 credit points which represents a standard full-time course load for a year.

A$42,800

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.

Other costs and fees

For information on other study costs and fees, see other study costs.

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