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Master of Predictive Analytics

Masters (Coursework)

The Master of Predictive Analytics is a multidisciplinary degree addressing the growing demand for data scientists with technical and analytical skills. It introduces advanced skills in data management, mining, visualisation, and predictive analytics, with applications across various disciplines.

Key details

Degree Type

Masters (Coursework)

Duration

2 - 2 years full-time

Course Code

MC-PREDAN, 092977C

Study Mode

In person

Intake Months

Feb, Jul

International Fees

$41,766 per year / $83,532 total

About this course

Overview

The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. It is currently the only master degree course in predictive analytics in Australia.

It is a multidisciplinary degree, in which you can choose from four majors to learn about specific application domains. It introduces advanced skills in data management, mining and visualisation, decision methods and predictive analytics, with a focus on their applications to different disciplines, such as engineering, networking, business and finance.

You will have opportunities to work on industry-sponsored projects, and participate in Curtin partnerships through Innovation Central Perth and the Curtin Institute for Data Science.

Upon completion of this course, you will be well placed to handle the 'big data' issues of the future, understand how to overlay historical and prediction data with production, financial and other data and correlate probability assessments to make better informed decisions.

Entry requirements

Admission criteria

What you need in order to get into this course. There are different pathway options depending on your level of work and education experience.

A recognised bachelor degree.

English requirements

Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.

IELTS Academic (International English Language Testing System)

Writing: 6
Speaking: 6
Reading: 6
Listening: 6
Overall band score: 6

What you will learn

What you'll learn

Obtain, evaluate and apply relevant processing algorithms to data from a range of sources to solve or predict an operational problem prior to or during an occurrence; use research to apply an understanding of the theoretical basis of data analytics to produce a qualified interpretation of the data.
Find innovative approaches to improving operations through the combination, generation and analysis of data; analyse problems in a logical, rational and critical way; identify alternative methods of solving issues and select optimal solutions that provide the best outcomes for both industry and the community.
Communicate effectively with a wide range of people from different discipline areas, professional positions and countries; communicate data analysis findings in a variety of ways via written, verbal or electronic communications; evaluate and utilise appropriate technology for data analysis and prediction development; appreciate the need for, and develop, a lifelong learning skills strategy in relation to enhanced personal and company performance.
Recognise the global nature of predictive analytics in industry and apply global standard practices and skills for acceptable prediction outcomes regardless of discipline or geographical location.
Practise appropriate industry data collection methodologies; work and apply discipline knowledge within the given social or industrial framework; with consideration of and respect for cultural diversity, indigenous perspectives and individual human rights.
Apply lessons learnt in a professional manner in all areas of prediction design, demonstrating leadership and ethical behaviour at all times.

Career pathways

What jobs can the Predictive Analytics course lead to?Careers

Computer scientist
Data analyst
Business consultant
Operations consultant.

Industries

Big Data
Finance
Resources engineering.

Course structure

Course outline

Qualification: Master of Predictive Analytics
Duration: 2 years full-time
Credit: A full-time study load usually consists of 200 credits (approximately eight units) per year, with 100 credits (approximately four units) in each semester. Total: 400 credits.
CRICOS: 092977C
Location: Curtin Perth

Majors

Resource Operations Analytics
Finance and Investment Analytics
Internet of Things
Data Science

Credit for prior study or work

Credit for recognised learning (CRL)Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Submit an enquiryCRL search

How to apply

Please review information on how to apply for the campus of your choice

Curtin Perth

Please note that each campus has different application deadlines. View our application deadlines page for further information.

Apply now

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The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

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Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Curtin University.

82.6%

Overall satisfaction

89.5%

Skill scale

80.2%

Teaching scale

73.6%

Employed full-time

$90k

Average salary

Data source