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University of New England

Graduate Certificate in Data Science

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 6 months
  • Course Type: Graduate Certificate

Get equipped with the knowledge and skills required to pursue a range of analytical and data science-related career paths or pursue further studies in the area of data science.

Course overview

The Graduate Certificate in Data Science is designed for students with a bachelor's degree in a relevant discipline who seek to enhance their skills in analysing and managing large data.

UNE's Graduate Certificate in Data Science allows you to expand your expertise in data science to solve challenging problems using large and diverse data sets while you broaden your career opportunities in this booming industry.

CSP Subsidised Fees Available

This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.

Key facts

Delivery
Face to Face
Course Type
Graduate Certificate
Duration
More Information
Can be studied part time
6 months (Full time)
Price Per Unit
From $3,048
More Information
Estimated prices are calculated based on a full-time study load of four units or 24 credit points.

From $1,088 (CSP)
More Information
You may be eligible for CSP where the government pays part of your fees. Estimated CSP prices are calculated based on a full-time study load of four units or 24 credit points.
Campus
Armidale
Intake
October, 2025
February, 2026
June, 2026
October, 2026
Units
4
Fees
More Information
FEE-HELP loans and HECS loans are available to assist domestic students.
FEE-HELP, HECS, CSP

What you will study

To qualify for the award a candidate must pass units to the value of 24 credit points including 18 credit points at 400-level or above.

Listed Units

Complete 24 credit points with at least 18 credit points at 400-level or above from the following units:

  • Computational Mathematics
  • Database Management Systems
  • Data Structures and Algorithms
  • Operating Systems
  • Programming Paradigms
  • Web Programming
  • Software Project Management
  • Parallel and Distributed Computing
  • Computer Networks and Network Security
  • Artificial Intelligence
  • Advanced Web Programming
  • User Experience and Interaction Design
  • Management Information Systems
  • Algorithms in Machine Learning
  • Introductory Econometrics
  • Econometric Analysis of Financial Markets
  • Spatial Analysis and Modelling
  • Introduction to GIS and Spatial Thinking
  • Remote Sensing and Image Analysis
  • Genomic Analysis and Bioinformatics
  • Information and Knowledge Management in Healthcare
  • Precision Agriculture
  • Introduction to Scientific Programming
  • Statistical Modelling and Experimental Design
  • Advanced Statistical Modelling
  • Statistical Learning

Entry requirements

You can apply for this course if you have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in a relevant discipline.

If you are admitted on this basis, you will be eligible for admission under standard entry.

Relevant disciplines include, but are not limited to, the following:

  • Computer Science
  • Data Science
  • Information Systems
  • Information Technology
  • Mathematics
  • Software Engineering
  • Statistics

English Language Requirements

  • When applying, you may be required to show how you satisfy the English Language Requirements for this course.

Recognition of Prior Learning

Advanced Standing is credit or recognition of your previous study, work and/or life experience. This can reduce the cost and length of your studies.

Outcomes

Learning outcomes

  • Understand the key tools, methods and theories used to data science to an advanced level of depth and sophistication;
  • Synthesise information from data and understand the lifecycle of data within an organisation;
  • Apply problem solving skills and specialist knowledge in statistics and software development to implement data analysis solutions for real-world problems;
  • Communicate effectively with expert and non-expert audiences to understand issues and gather requirements for the development of data analysis strategies and related systems within an organisation;
  • Evaluate information from a range of sources, such as peer-reviewed literature and technical documentation, to understand current developments in the area of data science; and
  • Understand and communicate the ethical and legal issues that relate to the practice of data science.

Career outcomes

  • Data Scientist 
  • Business Intelligence Analyst 
  • Data Engineer or Architect 
  • Data Strategist 
  • Healthcare Data Manager 
  • Research Scientist. 

Fees and CSP

Estimated first-year and full fee in 2026: $4,352 (Commonwealth Supported Place)

Estimated first-year and full fee in 2026: $12,192 (domestic full-fee paying place)

Estimated amenities fee per year if studying full-time: $373

The costs will depend on the units you choose to study, as the cost of individual units varies. “Estimated fees” are provided as a guide only based on a typical enrolment of students undertaking a study load of 48 credit points in the first year of this course. For courses that require fewer than 48 credit points, the fees indicated are based on the total credit points needed for the completion of that course.

Student fees may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

  • Calculated per unit you're enrolled in.
  • Dependent on the study areas they relate to.
  • Reviewed and adjusted each year.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students.

HECS-HELP loans are available to CSP students to pay the student contribution amount.