Master's Degree Mathematics Full Time

Master of Data Science

at La Trobe University · Melbourne, Victoria

CRICOS course code

119511M

CRICOS provider code

00115M

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

1.5 years

Tuition (whole course)

A$65,700 total

Per year

A$43,800/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Data Science at La Trobe University equips students with advanced analytical, statistical, and computational skills to manage and interpret complex data sets. The course is designed for graduates from mathematics, statistics, computer science, and related fields seeking to enhance their data-driven decision-making capabilities. The curriculum covers topics such as machine learning, big data management, statistical modelling, data visualisation, and programming languages like Python and R, all of which are in high demand in the Australian job market.

This master's programme is structured over 1.5 years of full-time study, typically divided into multiple semesters, and comprises a sequence of core and elective units of study. Each unit of study contributes a set number of credit points towards the qualification, and students must meet the required total to graduate. The course often features a capstone experience, which may take the form of a major research project, applied industry-based project, or thesis that enables students to showcase their expertise in a real-world context and build industry connections.

Throughout the programme, students develop both technical and professional skills, including data wrangling, predictive modelling, data mining, and ethical considerations in data science. Strong partnerships between La Trobe University and industry partners in Melbourne and beyond ensure exposure to current industry practices and potential professional placements, although availability may vary and should be confirmed directly with the university. The programme is well-suited for those aspiring to enter or advance in fields where data analytics plays a critical role, such as business, technology, healthcare, government, and scientific research.

International students benefit from work rights of up to 48 hours per fortnight while studying, and graduates may be eligible to apply for the Temporary Graduate visa (subclass 485) post-study work stream in Australia. Entry to the programme requires evidence of English language proficiency—visit La Trobe University's official site or the CRICOS register for current details, including unit descriptions and the latest admission requirements.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Data Scientist in technology companies and professional services
Business Analyst for finance, consulting, and government agencies
Data Analyst in health, transportation, or research organisations
Machine Learning Engineer in startups or established tech firms
Data Engineer supporting infrastructure in telecommunications, retail, and manufacturing
Research Data Specialist in Australian universities or scientific institutes

Frequently asked questions

How long is the Master of Data Science at La Trobe University?

It typically takes 1.5 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$65,700 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist in technology companies and professional servicesBusiness Analyst for finance, consulting, and government agenciesData Analyst in health, transportation, or research organisationsMachine Learning Engineer in startups or established tech firmsData Engineer supportin...

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