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52 weeks
Online and On-campus
Full time / Part time / Online / On-campus
Trimester 1 – February 2026 | Trimester 2 – June 2026 | Trimester 3 – October 2026
Course Overview
Download course brochure Demand for data scientists continues to grow as organisations in industries from science to health to business and beyond seek specialists who can extract meaning and insights from rapidly expanding data streams available in today's workplace. UNE's Graduate Diploma of Data Science will expand your skills so you can solve complex and challenging problems, innovate and gain competitive advantages by building intelligent systems and bringing structure to large and diverse data sets. Why study the Graduate Diploma in Data Science with UNE? If you have a bachelor degree in an area other than data science, statistics or computing, our course will equip you with the in-depth technical skills to future proof your career in this booming profession. Whether you already work with data and want to upskill, or you have a different background and wish to change direction our graduate diploma will provide you with the required knowledge and practical skills to analyse and manage data and to solve complex and challenging problems. Our course will also enable you to pursue a range of data science careers or continue to further studies. We’re highly rated – year after year, students award UNE 5-star ratings in The Good Universities Guide for Overall Experience and Student Support, so when you study with us, you know you are in good hands. What makes our course different? Our course extends your knowledge beyond being able to apply technologies, to really understanding how they work. You will hone your skills in areas critical to data science such as statistics, software development and database development. You will have opportunities to: Choose from a broad range of relevant units, allowing you to tailor your studies to meet your learning and career goals. Work with industry-leading programming languages such as R, Python and Matlab. Gain in-depth knowledge and skills in developing sophisticated data systems such as databases, machine learning and artificial intelligence. Hone your communication skills to more effectively gather requirements for data analysis strategies and present complex scientific concepts to collaborators and expert audiences. Apply your knowledge of data science, statistics and software development to real-world problems. Study online or on campus in Armidale, allowing you to balance your studies with your other work and personal commitments. Continue your studies by progressing to the Master of Data Science . Study online Most of our students choose to study online across three study periods with 24/7 tutor support* and fit study around work and family commitments. Uniquely, our online students are mostly over 30 and bring valuable experience with them. They form a community of adults juggling the same challenges and priorities and who bring their life and work experience together at UNE in order to become future-fit and better respond to a rapidly changing world. Study on campus Many of our students choose to take advantage of the on-campus lifestyle in Armidale, in the beautiful New England region, with access to unparalleled support, accommodation and sporting facilities. These students are often starting their first degree and have left school recently. Through access to academic and career support they get a fantastic start to their careers.
Where You Can Study
Sydney
211 Church St, Parramatta, NSW 2150
Eligibility
Career & Study Pathways
Quality & Recognition
Academic Regulator
TEQSA
Professional Body
Australian Computer Society (ACS)
Accreditation Status
AccreditedSkills Assessor
ACS
Course Content
Introduction to Programming and the UNIX Environment
Core unit – 6 credit points
Database Management Systems
Core unit – 6 credit points
Introduction to Statistical Modelling
Core unit – 6 credit points
Statistical Modelling and Experimental Design
Core unit – 6 credit points
Computational Mathematics
Listed unit – 6 credit points
Mathematics for Machine Learning and Artificial Intelligence
Listed unit – 6 credit points
Data Structures and Algorithms
Listed unit – 6 credit points
Operating Systems
Listed unit – 6 credit points
Programming Paradigms
Listed unit – 6 credit points
Web Programming
Listed unit – 6 credit points
Cryptography
Listed unit – 6 credit points
Software Project Management
Listed unit – 6 credit points
Parallel and Distributed Computing
Listed unit – 6 credit points
Computer Networks and Network Security
Listed unit – 6 credit points
Artificial Intelligence
Listed unit – 6 credit points
Deep Learning
Listed unit – 6 credit points
Reinforcement Learning
Listed unit – 6 credit points
Advanced Web Programming
Listed unit – 6 credit points
User Experience and Interaction Design
Listed unit – 6 credit points
Management Information Systems
Listed unit – 6 credit points
Algorithms in Machine Learning
Listed unit – 6 credit points
Information Privacy
Listed unit – 6 credit points
Introduction to GIS and Spatial Thinking
Listed unit – 6 credit points
Spatial Analysis and Modelling
Listed unit – 6 credit points
Remote Sensing and Image Analysis
Listed unit – 6 credit points
Genomic Analysis and Bioinformatics
Listed unit – 6 credit points
Information and Knowledge Management in Healthcare
Listed unit – 6 credit points
Precision Agriculture
Listed unit – 6 credit points
Introduction to Scientific Programming
Listed unit – 6 credit points
Science Research Project
Listed unit – 12 credit points
Advanced Statistical Modelling
Listed unit – 6 credit points
Statistical Learning
Listed unit – 6 credit points
Common Questions
You can apply for this course if you have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in any discipline — a background specifically in data science, statistics or computing is not required. English Language Requirements must also be met.
Estimated fees for a typical full-time year of study (48 credit points) are: Commonwealth Supported Place (quotas apply) – $8,113; Full Fee (no government subsidy) – $24,384; International – $35,808. An estimated amenities fee of $373 per year also applies for full-time students. Costs depend on the units you choose as individual unit fees vary.
The course is available both online and on campus. Online study is available across all three trimesters (February, June, and October). On-campus study at the Armidale Campus is available in Trimester 1 (February) and Trimester 2 (June). Most students choose to study online with 24/7 tutor support and fit study around work and family commitments.
You will work with industry-leading programming languages such as R, Python and Matlab, and gain in-depth knowledge and skills in developing sophisticated data systems such as databases, machine learning and artificial intelligence.
Yes, upon completing the Graduate Diploma in Data Science you can continue your studies by progressing to the Master of Data Science at UNE.
Application
Three simple steps to get enrolled
Step 01
Enquire
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Step 02
Submit Documents
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Step 03
Get Enrolled
Receive your offer letter and confirm your enrolment. Welcome to the course!
Processing time: Offer letter issued within approximately 1 business days.
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