Edith Cowan University
Graduate Certificate of Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 6 months
- Course Type: Graduate Certificate
Study online to build a strong foundation in mathematics, statistics and computer science. Enhance your knowledge and skills in essential tools and techniques that are relevant to data science.
Course overview
This course focuses on establishing a solid foundation in mathematics, statistics, computer science/programming methods/tools central to data science.
Data Science is an inter-disciplinary field, drawing on mathematics, statistics and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data Science is a significant growth and potential employment area in Australia and the Asia-Pacific region. This course provides the necessary foundations in mathematics, statistics and computer science and develops student knowledge and skills in some of the key tools and techniques relevant to data science.
Students who complete this course can transition directly into the second semester of the Master of Data Science course.
Key facts
July, 2026
What you will study
The course has three units of study. Each unit is valued at 20 credit points.
- Programming Principles
- Biostatistics
- Mathematical Fundamentals
Entry requirements
You'll need to meet the admission requirements for this course.
Academic Admission requirements (Band six)
Academic admission requirements (Band 6) may be satisfied through completion of one of the following:
- Bachelor's degree.
- Equivalent prior learning, including at least five years of relevant professional experience.
English Language requirements (Band four)
English competency requirements may be satisfied through completion of one of the following:
- IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0);
- Bachelor's degree from a country specified on the English Proficiency Bands page.
- I completed 0.375 EFTSL of study at the postgraduate level or higher at an Australian higher education provider (or equivalent).
- Where accepted, equivalent prior learning, including at least five years of relevant professional experience.
- Other tests, courses or programs defined on the English Proficiency Bands page.
Outcomes
Learning outcomes
- Communicate specialised knowledge, concepts and skills to various audiences in the field of data science.
- Analyse and evaluate complex problems to generate creative solutions.
- Demonstrate management skills by initiating, planning, implementing and evaluating data science tasks.
Career outcomes
- Data Scientist
- Computational Scientist
- Data Analyst
- Informatician
Fees and FEE-HELP
Estimated first-year indicative fee (2025): $16,900 (domestic full-fee paying place)
The estimated first-year indicative fee is provided as a guide only, based on a typical enrolment of students undertaking the first year of this course. At ECU, you pay for the individual units you enrol in, not an overall course fee.
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.