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Postgraduate ECU-DSC-GCE-2023

Graduate Certificate in Data Science

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.

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
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QS Ranking 2023

28

Times Higher Education Ranking 2023

28

  • 2023

Degree details

What you'll learn

At the end of the program, students of the Graduate Certificate in Data Science can:

  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.
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

Entry requirements

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.
Credit for previous study or work

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. 

Description

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.

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