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Predictive analytics is the study of data to predict and subsequently optimise management decisions.

Predictive analytics uses techniques from data mining, statistics, modelling, machine learning and artificial intelligence to analyse data and make predictions about the future. It can be applied to fields such as resource operations engineering, asset management and productivity, finance, investment, actuarial science and health economics.

The importance of predictive analytics is considerable in areas where there are new disruptive technologies.

This course addresses the growing demand for data analysts and scientists that have the right blend of technical and analytical skills to meet big data analytics challenges.

It emphasises the integration of technical and business skills. You will learn advanced skills in data management, data mining, decision methods, predictive analytics and visualisation, focusing on their applications to disciplines such as engineering, management, business and finance.

You will also have opportunities to work on projects for various industries and organisations, or on analytical problems through industry sponsored projects, Innovation Central Perth, the Curtin Institute for Computation and others.

You can specialise in one of two streams:

Resource Operations Engineering (Science and Engineering)

This stream aims to develop petroleum and mining engineers who can analyse, interpret and utilise complex data analytics relating to resource assets and operations. This will help improve their operational business decision-making, resulting in maximised asset productivity and business growth.

Finance and Investment Analytics (Business and Law)

This stream embeds economic and financial econometric analysis within the data and predictive analytic framework. You will gain working knowledge in economic, finance and business data, enabling you to apply your analytical skills in a business context.

Career information

This course will help you become a:

data analyst
operation and business consultant in resource engineering/asset management/finance.

The course will develop:

Resource Operations Engineers with a strong knowledge of data analytics
Scientists with the ability to improve and develop new prediction software
Business graduates with an excellent understanding of the science and application of predictive analytics
Finance graduates with an ability to apply predictive analytics to finance and investment forecasting decision making processes.

In addition, these graduates will be well placed to handle the ‘big data’ issues of the future, understand how to overlay historical and prediction data with supply chain financial and other business data and correlate probability assessments for better informed decisions.

What you'll learn

Use research to apply an understanding of the theoretical background basis of data analytics and to allow the data processing of unstructured data, including all aspects of cluster analysis to produce a qualified interpretation of the data
Analyse an unstructured data set or problem in a logical, rational and critical way; identify alternative methods of solving the issue and select the optimum solution that provides the best outcomes for both industry and the community
Obtain, evaluate and apply relevant processing algorithms to unstructured data from a range of sources to solve or predict an operational problem prior to or during an occurrence
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.

Hangi bölümdeyim?

Faculty of Humanities

CRICOS

092977C

Öğrenim seçenekleri

Full Time (2 yıl)

Okul ücreti
A$31,900.00 (TRY 311,098) Yıllık
Total indicative course fee: AUD $62,500; Eligible applicants for the Access Support Scholarship will receive AUD $1500 one-off fee remission against their Semester 1 2021 tuition fees for programs at Curtin’s Western Australian campuses.

*Gösterilen fiyat gösterge amaçlıdır, lütfen kurum tarafından kontrol ediniz

Başvuru Tarihi

11 February 2022

Daha fazla bilgi

Başlangıç tarihi

28 Şubat 2022, 25 Temmuz 2022

Yer

Curtin University

Bentley Campus,

Kent Street,

BENTLEY,

Western Australia,

6102, PERTH, Australia

Giriş koşulları

Amerika gelen öğrenciler için

A bachelor degree from a recognised Australian tertiary institution or equivalent, and at least three years relevant work experience. English Language Requirements: Certificate in Advanced English (CAE): Grade C; and Pearson Test of English Academic: 60. IELTS Academic (International English Language Testing System): Writing, Speaking, Reading, and Listening: 6.0; Overall band score: 6.5; TOEFL (Test of English as a Foreign Language): 79 Overall; Reading 13 Listening 13 Speaking 18 Writing 21.

Uluslararası öğrenciler için

Bachelor's degree in science, engineering, business or commerce from a recognised university.

Certificate in Advanced English (CAE): 176; and Pearson Test of English Academic: 60. IELTS (International English Language Testing System) - Listening, Reading, Writing, and Speaking - 6.0; Overall band score 6.5; TOEFL (Test of English as a Foreign Language) 79 (overall) Reading 13 Listening 13 Speaking 18 Writing 21.

Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.

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Curtin University Hakkında

Curtin, Academic Ranking of World Universities 2019 sıralamasında dünya çapındaki üniversiteler arasında ilk yüzde birlik dilimde yer almaktadır.

  • Dünya çapında en iyi üniversiteler arasında %1’de (ARWU 2019)
  • Dünya genelinde 130’u aşkın eğitim kurumuyla ortaklık
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