Available loans
Australian Higher Education Loan Program (HELP)
Total subjects
3
Price
From
$14,350
Study method
100% Online
Assessments
100% online
Credit available
Yes
Applications Close
- No dates available
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.
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QS Ranking 2023
28
Times Higher Education Ranking 2023
28
Degree details
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.
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
Higher education
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 Proficiency Requirements
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 have completed units of study at University or have relevant professional experience, you may be eligible for Credit and Recognition of Prior Learning (CRPL).
To assess your eligibility for credit, we first need you to apply for and accept an offer in your course of interest with us. You can then submit an Application for Credit and Recognition of Prior Learning via your Student Portal.
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.