The University of Newcastle, Australia
Fast facts
Location

Online

Start dates
  • Semester 2 - 29 Jul 2019
Mode of delivery

Online

Duration

1.5 years full-time or part-time equivalent up to 5 years maximum.

UON program code: 40112

Study a Master of Data Science

A Master of Data Science from the University of Newcastle will equip you with the essential specialised skills and knowledge required to understand and engage with a variety of data generated from diverse industries and settings. This professional and industry oriented program will enable you to apply your theoretical statistical and computational knowledge to better understand and explore data using applied problem solving and computer practice.

Why Study with us?

  • Unique program offering - one of the only Master of Data Science programs in Australia which offers specialisations to allow you to shape your studies to align with your chosen career path.
  • Acquire contemporary data science knowledge - This program has been developed by our data science experts in consultation with industry, so you will be equipped with the latest skills to deliver the needs of tomorrow’s workplace.
  • Study online at your own pace - the University of Newcastle’s advanced online learning system will enable you to achieve your Master of Data Science at a time that suits you. This program is one of only a handful of Master of Data Science degrees in Australia which offers 100% online study.
  • Gain real-world skills – graduates of this program will be equipped to model real-world situations, to think abstractly and to manage, analyse, interpret, visualise, and effectively communicate data.
  • Gain employment in a rapidly growing industry – according to IBM, the demand for Data Scientists is predicted to soar by 28% by 2020 (IBM, 2017).

What you will study

You will gain the ability to model real-world situations, to think abstractly and to manipulate, analyse, interpret, visualise and effectively communicate data.

Your core studies will focus on the following areas:

  • Databases and Information Management
  • Data Wrangling and Visualisation
  • Big Data
  • Predictive Analytics

Entry options and duration

This program recognises prior learning. Admission is available to applicants who can demonstrate a suitable combination of education, professional experience and industry qualifications.

The table below outlines the number of years experience required, depending on your previous educational qualifications.

Educational Qualification

Number of years relevant industry experience*

Units required to complete Masters (10 units = 1 course)

3 Year Bachelor (in a non-related field of study)

Zero

120

3 Year Bachelor (in a non-related field of study)

Five

80 - 120

3 Year Bachelor or Bachelor (Hons) degree (in a related field of study)

Zero

80 - 120

Graduate Certificate or Graduate Diploma (in a related field of study)

Zero

80

Please note: Students completing 80 units and all core courses are eligible to an AQF level 8 Graduate Diploma exit award.


Career opportunities

Possible career opportunities include:

  • data scientist
  • data engineer
  • data manager
  • biostatistician/bioinformatician
  • business analyst
  • data and insights expert
  • researcher