Overview

We've carefully designed our Graduate Diploma of Data Science to give you a solid foundation in computer science, statistics and applied data analysis. You’ll learn using real data sets from our industry partners, so you can be sure you’re learning up-to-date skills.    You'll get practical experience with open-source software and … For more content click the Read more button below.   You’ll learn: Database fundamentalsDelve into how databases function across both hardware and software systems. Learn how data storage and retrieval, communications, networking, security and information systems are critical to our everyday lives. Programming languagesLearn how to design and implement software solutions using a range of popular programming languages such as Java and Python, and cloud-based services offered by Amazon, Google, IBM and Microsoft. Mathematics and statistics to solve data science problemsComplex data analysis develop your evaluation and numeracy skills through interactive learning that covers data gathering, turning data into information, probability, and how to use data to drive critical business decisions.Complex data analysis Develop your ability to interpret and analyse data through interactive learning that covers data gathering, turning data into information, and how to use data to drive critical business decisions. 

Portfolio

Office of the Provost

School

Computing, Engineering and Mathematical Sciences

Course coordinator

Andriy Olenko

Location(s)

On-Line

Course instance contact

Andriy Olenko

Course duration (full time)

1 year

Course duration (part time)

2 years

Study level

Postgraduate

AQF level

Level 8 - Graduate Diploma

Available only as an exit award

No

Study options

Domestic

International offshore

Completion requirements

To qualify for the award of Graduate Diploma in Data Science, students must complete 120 credit points as follows:

75 core credit points

45 elective credit points

Course intended learning outcomes

On successful completion you will be able to:
1.
Evaluate, communicate and interpret information and results of advanced analysis in the field of data science to expert and lay audiences
2.
Critically analyse and solve complex problems in data science by using expert judgement, advanced knowledge and multi-disciplinary approaches
3.
Use advanced computing techniques and mathematical and statistical approaches to solve complex scientific problems in the field of data science
4.
Use a broad range of established and emerging data collection and analysis technologies and methodologies related to specialisations

Career outcomes

With organisations seeking to understand the massive amounts of data now at their disposal, the need for data professionals is at an all-time high. As a graduate, you can expect to find work as a:

  • Data scientist
    • Understand complex data and leverage it to the advantage of businesses and organisations.
  • Business analyst
    • Understand how businesses run and use data to solve problems and improve processes.
  • Health analyst
    • Gather, analyse and verify healthcare information.
  • Bioinformatician
    • Develop methods of research and analysis for understanding and leveraging biological and genomic data.
  • Machine learning engineer
    • Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create effective machine learning solutions.
  • Business intelligence analyst
    • Design, script and build business intelligence solutions to inform how businesses operate.

Partner provider

Risepoint

Other course instances

Select a related course instance to view more information.
SGDS
Melbourne (Bundoora)
Graduate Diploma in Data Science - Melbourne (Bundoora)

Internal course relationships

Nested

Graduate Certificate in Data Science Fundamentals

Pathways from

Graduate Certificate in Data Science Fundamentals

Pathways to

Master of Data Science