Graduate Certificate in Data Science
Postgraduate | ECU-DSC-GCE | 2022
Course information for 2022 intake View information for 2024 course intake
Get creative with solutions using data
Draw on your talents in maths, statistics and computer science to carve out an exciting, in-demand career. In data science, you’ll gather data and analyse it before creating recommendations using new-found knowledge. Growth is tipped for this field.
- Study method
- 100% online
- Assessments
- 100% online
- Credit available
- Yes
- Total subjects
- 3
- Price from
- $13,550
- Available loans
- Australian Higher Education Loan Program (HELP)
Graduate Certificate in Data Science
About this degree
At the end of the program, students of the Graduate Certificate in Data Science can:
- Communicate specialised knowledge, concepts and skills to a variety of 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.
This course is focused on establishing a solid foundation in mathematics, statistics and computer science/programming methods/tools that are 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 area of growth and potential employment in Australia and the Asia-Pacific region. This course provides the necessary foundations in the disciplines of 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 will be able to articulate directly into the second semester of the Master of Data Science course.
Recommended study pattern
Course Structure
- CSI6208 Programming Principles
- MAT5212 Biostatistics
- MAT6105 Mathematical Fundamentals
Award requirements
Students are required to complete 3 units
- CSI6208 Programming Principles
- MAT5212 Biostatistics
- MAT6105 Mathematical Fundamentals
ECU is ranked one of the world’s best young universities and Australia’s best public university for teaching quality. That quality extends to more than 30,000 students, many studying online through Open Universities Australia. ECU offers the same quality of teaching to you, regardless of where you’re studying in the world. Their flexible study solutions include a huge range of online courses, recognising your need to juggle work, family or other commitments.
Learn more about ECU.
Explore ECU courses.
- QS Ranking 2024:
- 28
- Times Higher Education Ranking 2024:
- 25
How to apply
Edith Cowan University manages enquiries and applications for this degree.
Complete your details and we'll make sure your enquiry is sent to Edith Cowan University who will contact you to discuss this degree.
Don't worry, we're still here to help you - you'll receive a personalised follow-up from an Open Universities Australia student advisor to make sure you have found the right degree for you.
Entry requirements
Academic admission requirements (Band 6) may be satisfied through completion of one of the following:
- Bachelor degree; or
- Equivalent prior learning including at least five years relevant professional experience.
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 degree from a country specified on the English Proficiency Bands page;
- Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent);
- Where accepted, equivalent prior learning, including at least five years relevant professional experience; or
- Other tests, courses or programs defined on the English Proficiency Bands page.
If you're applying for a course and have previous study or professional experience, you may be eligible for what we call 'advanced standing'.
For more information and to apply please go to https://www.ecu.edu.au/future-students/course-entry/advanced-standing.
Career opportunities
Career pathways available to data science graduates include data scientist, data analyst, machine learning scientist, statistician, informatician, computational scientist.
Possible future job titles
Data Scientist, Computational Scientist. Data Analyst, Informatician
Career outlook
- ICT Business and Systems Analysts:
- Over $120K
- Intelligence and Policy Analysts:
- $93K to $120K
- Intelligence Officers:
- $93K to $120K
- Software and Applications Programmers:
- $93K to $120K
- Software Engineers:
- Unknown average