La Trobe University

Master of Data Science

La Trobe University

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00115M

Boost your career in the dynamic field of data science. Organisations in every industry are asking big questions. With a Master of Data Science under your belt, you'll have the skills to help answer them. Data science professionals are in high demand in today's data-driven world. Whether you're already working in data science, or you're ready to make a career change, our Master of Data Science prepares you for a successful career in this exciting field. Designed in collaboration with our industry partners, this degree gives you the knowledge, skills and hands-on experience to transition from university to the workplace. And with two early exit points along the way, you can be sure that every subject is contributing to your career.


To qualify for the award of Master of Data Science, students must complete 240 credit points consisting of: 105 core credit points 15 elective credit points 60 specialisation credit points 60 learning pathway credit points


  • First Year Subjects: Academic Integrity Module
  • Data Exploration and Analysis
  • Data Wrangling
  • Database Fundamentals
  • Introduction to Programming
  • Mathematics for Data Science
  • Probability and Statistics for Data Science
  • Visual Analytics

Standard entry requirements

  • Postgraduate: Prerequisites - Undergraduate requirements - Successful completion of an Australian bachelor degree (or equivalent).
  • International: IELTS - 6.5 < 6.0 (PG minimum) - 6.5 IELTS (Academic) with no individual band less than 6.0.
  • Note: This course may be subject to alternative or extra entry requirements depending on your life circumstances and/or work experience. For the complete entry requirements, please search for your course on the La Trobe website:

Study information

CampusFeesMid year intakeAttendance
Melbourne (Bundoora) International: $78,800 Yes
  • Full-time : 2 years
  • Part-time : 4 years

Fee comments

Campuses: Melbourne (Bundoora).

Your course fees will depend on the subjects you choose to study: each subject has its own costs. The total course fee may vary depending on the subjects you choose, your study load, the time it takes to complete your course and your approved Credit for Prior Learning. Fees correct Friday, Dec 8 2023

Further information

This course requires prior knowledge in cognate areas of either Computer Science, IT, and/or Mathematics and Statistics. The course starts with a semester of core fundamental subjects designed to address knowledge gaps in the required cognate skills. E.g. students who have completed a Computer Science degree will need to choose fundamental subjects in Statistics and vice versa.

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