Course Information

Graduate Certificate in Data Science

Effective from 01-JAN-2025 : Code I98

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. This course is focused on establishing a solid foundation in mathematics, statistics and computer science/programming methods/tools that are central 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.

Disclaimer

This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.

Course Learning Outcomes

  1. Communicate specialised knowledge, concepts and skills to a variety of audiences in the field of data science.
  2. Analyse and evaluate complex problems to generate creative solutions.
  3. Demonstrate management skills by initiating, planning, implementing and evaluating data science tasks.

Admission requirements

Admission requirement (Band 6)

  • Bachelor degree; or
  • Equivalent prior learning including at least five years relevant professional experience.

English Language requirement (Band 4)

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 in the Admissions Policy;
  • 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 as defined in the Admissions Policy.

Australian Qualifications Framework (AQF) level

This course has been accredited by ECU as an AQF Level 8 Graduate Certificate Award.

Course Duration

  • Full Time: 0.5 Years
  • Part Time: 1 Year

Course Delivery

  • Joondalup: Full Time, Part Time
  • Online: Full Time, Part Time

Course Coordinator

Dr Kat O'MARA

Course Structure

Unit Code Unit Title Credit Points
CSI6208Programming Principles20
MAT5212Biostatistics20
MAT6105Mathematical Fundamentals20

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

I98|1