La Trobe University
Graduate Certificate of Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Certificate
Build your skills using real data sets from our industry partners and learn how to solve data challenges facing businesses and organisations. Learn how to create complex models and use powerful tools for advanced analysis and problemsolving.
Course overview
Every data scientist must become a master of mathematics, modelling and database design. With La Trobe's Graduate Certificate in Data Science Fundamentals, you'll take your first big steps towards this important goal.
Gain valuable skills and knowledge, learn from industry experts and build your professional networks. Whether you have existing experience in data science or not, this course is your pathway to start or progress your career in this exciting domain.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
What you will study
To qualify for the award of Graduate Certificate of Data Science, students must complete a total of 60 credit points across one year. Each subject is valued at 15 credit points.
- Academic Integrity Module
- Database Fundamentals
- Introduction to Programming
- Mathematics for Data Science
- Probability and Statistics for Data Science
Entry requirements
Prerequisites
- Successful completion of an Australian bachelor 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
- Apply advanced understanding of fundamental issues and techniques in data science
- Critically evaluate solutions to technical problems using mathematical and statistical approaches
- Communicate and interpret information in the field of data science to expert and lay audiences
Career outcomes
- Data scientist
- Business analyst
- Health analyst
Fees and CSP
Estimated fees per year (2025):$16,500 (domestic full-fee paying place)
Estimated fees per year (2025):$3,664(Commonwealth Supported Place)
All costs are calculated using current rates and are based on a full-time study load of 60 credit points 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.
Commonwealth Supported Places
The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Dependent on the study areas they relate to.
- Reviewed and adjusted each year.
HECS-HELP loans are available to CSP students to pay the student contribution amount.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.