La Trobe University

Graduate Diploma of Data Science

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 12 months
  • Course Type: Graduate Diploma

Acquire a strong foundation in computer science, statistics and applied data analysis.

Course overview

You'll learn using real datasets from our industry partners, ensuring you acquire the latest skills. You'll gain practical experience with open-source software and platforms, including Python, R and Hadoop.

Key facts

Delivery
Online
Course Type
Graduate Diploma
Duration
More Information
Can be studied part time.
12 months (Full time)
Price Per Unit
From $4,125
More Information
The estimated per units fees are calculated based on the annual average first year fee. It applies to a study load of 120 credit points per year.
Intake
September, 2025
Units
8
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To qualify for the award of Graduate Diploma in Data Science, students must complete a total of 120 credit points across one year.

  • 75 credit points from chosen Core
  • 30 credit points from chosen Electives
  • 15 credit points from chosen Electives
Core units
  • Academic Integrity Module  
  • Data Exploration and Analysis  
  • Database Fundamentals  
  • Introduction to Programming  
  • Mathematics for Data Science  
  • Probability And Statistics for Data Science  
Electives

Entry requirements

  • Successful completion of an Australian bachelor's degree (or equivalent).

Note: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.

Recognition of Prior Learning

Credit for previous study (advanced standing) is the recognition of prior study or learning that can be credited towards a qualification, thereby reducing the number of subjects required to complete your course.

Outcomes

Learning outcomes

  • Evaluate, communicate and interpret information and results of advanced analysis in the field of data science to expert and lay audiences.
  • Critically analyse and solve complex problems in data science by using expert judgement, advanced knowledge and multi-disciplinary approaches.
  • Use advanced computing techniques and mathematical and statistical approaches to solve complex scientific problems in the field of data science.
  • Use a broad range of established and emerging data collection and analysis technologies and methodologies related to specialisations.

Career outcomes

  • Data scientist
  • Business analyst
  • Health analyst
  • Bioinformatician
  • Machine learning engineer

Fees and FEE-HELP

Estimated fees per year (2025): $33,000 (domestic full-fee paying place)

All costs are calculated using current rates and are based on a full-time study load of 120 CP for one year.

A student’s annual fee may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.