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Master of Data Science (MDS)

Course Description

What's the "sexiest job of the 21st century"? According to Harvard Business Review, it's data scientist. A job devoted to giving structure to large quantities of formless data. Ever-changing, ever-challenging big data.

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 and data management. You then select data science electives such as applied data analysis, visualisation, data pre-processing, big data handling and data in society. You can also choose to take the Advanced Data Analytics stream where you 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 may take part in an Industry Experience team project, working with industry mentors to develop data-driven IT solutions. Or you may undertake a minor-thesis research project, investigating cutting-edge problems under the supervision of internationally recognised researchers.

Visit the website http://www.study.monash/courses/find-a-course/2016/data-science-c6004?domestic=true

Course Structure

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.

PART A. Foundations for advanced data science studies
These studies will provide an orientation to the field of data science at graduate level. They are intended for students whose previous qualification is not in a cognate field.

PART B. Core Master's study
These studies draw on best practices within the broad realm of data science practice and research. You will gain a critical understanding of theoretical and practical issues relating to data science. Your study will focus on your choice either of data science or advanced data analytics.

PART C. Advanced practice
The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. You have two options.

The first option is a program of coursework involving advanced study and an Industry experience studio project.

The second option is a research pathway including a thesis. Students wishing to use this Masters course as a pathway to a higher degree by research should take this second option.

Students admitted to the course, who have a recognised honours degree in a discipline cognate to data science, will receive credit for Part C, however, should they wish to complete a 24 point research project as part of the course they should consult with the course coordinator.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/information-technology

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/data-science-c6004?domestic=true#making-the-application

Visit the Master of Data Science (MDS) page on the Monash University website for more details!

Student Profiles

Team Monash Elite Student Performer Scheme - No. of awards TBC

The Team Monash Elite Student Performer Scheme is designed to support talented students studying at Monash to represent the University in the areas of Sport, Performing Arts and related disciplines. This program aims to assist students who perform at a state level or higher. Students must represent the University in a Monash Club/Society or at the Inter-University (Varsity) competitions and activities.Benefits:
- $100 to $1000 one-off payment and/or a Monash Sport gym membership.
- Dependant on the sport, the level played and the funding available.Selection
- Must be competing regularly in your discipline, at the highest level in your state, or above.
- Representation of Monash University in your sport (e.g. club, Monash University Club, Monash Australian University Games or Varsity Callenge).
- Your current and past performance in your elected discipline.
- Level at which your sport is played.Retention
- You must maintain satisfactory sporting performance, as determined by TeamMONASH.
- You must regularly represent Monash University in your discipline and participate in the Australian University Games.
- You must not be in receipt of regular payments from other funding bodies for your discipline.

Value of Scholarship(s)

$100 to $1000


- Australian or New Zealand citizen, holder of an Australian permanent resident visa or permanent humanitarian visa or an international student.
- Commencing or continuing undergraduate or postgraduate student enrolled at a Monash campus in Australia, including Monash College.
- Involved in a non-professional sport, performing arts or similar, as recognised by Team Monash.

Application Procedure

You must submit an application form directly to TeamMONASH (http://www.monash.edu/teammonash/talented-student-support/elite-scheme) via their Elite Student Performer Scheme

Further Information



Faculty of Information Technology International Merit Scholarship - No. of awards TBC

$6,000 for full-time study load (48 credit points) paid towards tuition fees per year until the minimum points for your degree are completed.Selection:
Based on academic achievement. Commencing students can refer to the eligibility table*.
Continuing Monash students (after your first semester of full-time study in a Faculty of IT course) you are eligible if you achieve a minimum Weighted Average Mark of 80% - you must have completed at least 18 credit points of study.*Continuing Monash students must:a) be transferring from another faculty and commencing an Information Technology degree; or
b) be in their first semester of study and have completed a minimum of 18 credit points but no more than 24 credit points of study (excluding advance standing) of their Faculty of Information Technology. This scholarship is only awarded to continuing Monash students who have completed their first semester of study. After you have completed your first semester of study, you are not eligible for this scholarship.
You must maintain a credit average (60%) each semester

Value of Scholarship(s)



To be eligible, applicants must be:- An international student or applicant; and
- A commencing or continuing* undergraduate or postgraduate (coursework) student, and
- Intending to enrol in an on-campus undergraduate or postgraduate (coursework) single degree in the Faculty of Information Technology at a Monash campus in Australia.

Application Procedure

See the website

Further Information


Entry Requirements

Australian undergraduate degree in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including programming and databases, and University level 1 mathematics or statistics, with at least a pass (50%) average, or qualification deemed by the faculty to be a satisfactory equivalent. OR A four-year Australian honours degree with a research thesis consisting of at least 37.5% of a one year full time load and with at least a pass (50%) average, or qualification deemed by the faculty to be a satisfactory equivalent. Applicants must also meet the English language requirements (View Website)

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