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.
About Master of Data Science
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.
Analytical thinking and innovation, critical thinking and analysis, technology use, monitoring and control, technology design and programming and reasoning, problem-solving and ideation are all embedded within this degree, and are skills that have been identified as being in demand and emerging according to the World Economic Forum’s The Future of Jobs Report 2020.
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 receive an AQF level 8 Graduate Diploma exit award.
Entry Requirements
- Students with a three year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialisation are eligible to undertake the 120 unit program which can be completed in 2 years full time (commencing Semester 1), 1.5 years full time (commencing Semester 2) or up to 5 years part time.
- Students with a three year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognised Prior Learning (RPL) in an area related to data science and/or their chosen specialisation (also called cognate discipline) may be eligible to study between 80 and 120 units, inclusive.
- Students with a three year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialisation may be eligible to study between 80 and 120 units, inclusive.
- Students with a Graduate Certificate or Graduate Diploma (AQF level 8) in a cognate discipline to data science and/or data analytics may be eligible to undertake an 80 unit program which can be completed in 1 year full time or part time equivalent.
English Program Requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.
Applicants for this program must satisfy a minimum English Language Proficiency Standard equivalent to an IELTS overall minimum of 6.5 with no subtest result below 6.0
English Requirements
- Min IELTS: 6.5
Career
Possible career opportunities include:
- Data Scientist
- Data Engineer
- Data Manager
- Biostatistician/Bioinformatician
- Business Analyst
- Data and Insights Expert
- Researcher
- Data Analyst and Scientist
- Information Security Analyst
- Artificial Intelligence and Machine Learning Specialist
- Big Data Specialist
These are all emerging roles which have been identified as being in high demand in Australia according to the World Economic Forum’s The Future of Jobs Report 2020.