Available loans
Australian Higher Education Loan Program (HELP)
Total subjects
3
Price
$12,900
Study method
100% online
Assessments
100% online
Applications Close
- No dates available
ECU has been ranked one of the world’s best young universities and Australia’s best public university for teaching quality. That quality extends to more than 6,000 students studying online. 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.
QS RANKING 2021
30
Times Higher Education Ranking 2021
28
Degree structure
Degree details
- 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.
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