dulingo

University of Melbourne Master of Data Science: Program Details, Eligibility, and Fees

5 minute read
10 shares
university of melbourne master of data science

The demand for data scientists is only growing with the ever-expanding data globally. These professionals are highly sought-after in every sector, enjoying many career opportunities. If you want to pursue a master’s in Data Science, then the prestigious University of Melbourne is ideal for you. Located in Melbourne, Australia, this institute is renowned for its high education standards and excellent teaching staff. In this blog, we will discuss in detail the pursuit of the University of Melbourne Master of Data Science program. You will learn about the course details, eligibility, fees, and more. 

cta
Duration2 years (full-time)
Coursework200 points total
Core subjects3 statistics subjects (37.5 points), 3 computer science subjects (37.5 points)
Electives50 points including electives in data science, professional skills or a research project
Capstone project25 points
Tuition FeeAUD 52,256 (First-year fee)
AUD 107,124 (Total fee)
Academic RequirementsAn undergraduate degree with a minimum of 65% (overall) and 12.5 credit points (one standard subject) of university-level computer science (or equivalent)
English Language RequirementsIELTS – 6.5, TOEFL – 79+, PTE – 58+, Cambridge – 176+

Program Details

The University of Melbourne Master of Data Science program equips you with sound knowledge of modern statistical methodology and computing. It offers you all the skills and knowledge required to build a successful career in data science and grow as a professional as data science evolves.

Course Structure

The University of Melbourne Master of Data Science degree is a 200-point program, made up of:

  • 3 Core computer science subjects (37.5 points)
  • 3 Core statistics subjects (37.5 points)
  • Capstone data science project (25 points)
  • Elective subjects (50 points), which includes prerequisite subjects if required (up to 50 points), data science or professional skills subjects or a research project

Career Outcomes

The graduates of this program go on to work as data scientists and analysts, data infrastructure engineers, software engineers, statisticians, and business intelligence analysts.

The top employers in this field include:

  • Consulting firms such as KPMG, EY, and Accenture
  • IT and telecommunication companies such as Microsoft, IBM, and Telstra
  • Financial services companies including ANZ, Citibank, CBA and NAB
  • Universities and public research institutions such as the CSIRO
  • Government departments and organisations like the Australian Bureau of Statistics

University of Melbourne Master of Data Science: Tuition Fees

Now, let’s understand the tuition expenses at the University of Melbourne Master of Data Science. The tuition costs are charged every year you are enrolled. You will pay your fees in line with your specific enrolment in any given semester. You will make the payment as per the subjects you are studying and not your degree. The exact cost of your degree is determined by the type and number of subjects you take.

The table given below shows the tuition fees and other key details of the program:

Indicative First-Year FeeAUD 52,256
Indicative Total Course FeeAUD 107,124
Duration (Full-Time)2 years
Intake Start year (February 2025 intake) applications due 31 October 2024

Also Read: The University of Melbourne Courses: Top Programs, Tuition Fees, and Eligibility 

University of Melbourne Master of Data Science: Eligibility

Are you excited to undertake the University of Melbourne Master of Data Science program? If yes, then make sure you meet its eligibility criteria before you begin your application. So, see below the requirements you need to fulfil to gain admission to this course:

  • You must have an undergraduate degree (or equivalent) in a directly related discipline with a Weighted Average Mark (WAM) of a minimum of 65% (or equivalent),
  • You need at least 12.5 credit points (one standard subject) of university-level computer science (or equivalent) with content focused on computer programming,
  • Moreover, you must complete MAST10006 Calculus 2 AND MAST10007 Linear Algebra (or their equivalents),
  • Here are the English language test scores accepted here:
TestMinimum Score Required
IELTS6.5
TOEFL79+
Pearson58+
Cambridge176+

University of Melbourne Master of Data Science: Application Process

If you meet the eligibility criteria for the University of Melbourne Master of Data Science, it’s time to move to the admission process. Follow the steps given below to apply for the program:

  1. Gather all the mandatory documents beforehand.
  2. Then, head over to the university’s application page and click on the “Apply as a new Student” option. 
  3. Post that, a new page will open up on your screen where you will be asked to fill in certain details.
  4. Key in all the asked details, submit all the required documents and complete your application process. 
  5. Now, wait for the institute’s decision which will be communicated on the email address you have provided. 

Documents Required

Moreover, here are the documents you need to submit:

  1. Valid Passport,
  2. Academic transcripts and certificates,
  3. Letters of Recommendation,
  4. Proof of English language proficiency,
  5. Statement of Purpose,
  6. Student Visa,
  7. Documents for application,
  8. Updated Curriculum Vitae, and
  9. Passport-sized photographs.

Also Read: University of Oslo Masters: Courses, Fees, and Eligibility

Career Scope

The University of Melbourne’s Master of Data Science program equips graduates with a flourishing career in the data-driven world. Declared the most “in-demand job of the 21st century” by Harvard Business Review, graduates can work in sectors like consulting, finance, IT, healthcare, and government. Alumni find positions at leading firms like EY, KPMG, Accenture, ANZ, IBM, Microsoft, and CSIRO.

Sample Job Profiles and Salaries (Australia):

Job TitleAverage Annual Salary (AUD)
Data ScientistAUD 115,000 per year
Data AnalystAUD 95,000 per year
Business Intelligence AnalystAUD 102,000 per year
Machine Learning EngineerAUD 128,000 per year
Data EngineerAUD 110,000 per year

Relevant Reads:

BPP University Masters: Courses, Fees, and Eligibility CriteriaUniversity of Copenhagen Masters: Programs, Fees, Deadline, Acceptance Rate and Scholarships
University of Nottingham Courses: Fees, Masters, PGArizona State University Masters in Computer Science: Tuition Fees, GRE Score and Ranking
Columbia University Masters in Journalism: Popular Courses, Duration and Annual Tuition FeesColumbia University Psychology Program: Masters, Undergraduate, PhD and Ranking

FAQs

Q.1 Is Australia good for Masters in Data Science?

Answer: Yes, there is a huge scope for data science professionals in Australia. Highly reputed institutes like the University of Melbourne offer a master’s in Data Science in Australia. 

Q.2 Is University of Melbourne hard to get into?

Answer: The acceptance rate of the University of Melbourne is 70%, making it a bit easy for students to gain admission here.

Q.3 What is the basic salary of Data Science in Australia?

Answer: The average salary of a data scientist in Australia is AU$120,924 per year. 

So, this was all about the University of Melbourne Master of Data Science. Many Indian students dream of pursuing education in foreign nations due to the exposure and career growth they offer. Consider joining a free counselling session with Leverage Edu if you plan to study abroad

Leave a Reply

Required fields are marked *

*

*