Location
Australia
Study Format
On Campus
Course language
English
Study Fields
Mathematics, Statistics, Data Science, Business Analytics
Duration
2 Years
Academic pace
Full Time
Degree
Master's Degree
Tuition Fee
Request info
Location
Australia
Study Format
On Campus
Course language
English
Study Fields
Mathematics, Statistics, Data Science, Business Analytics
Duration
2 Years
Academic pace
Full Time
Degree
Master's Degree
Tuition Fee
Request info
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 three streams:
Resource Operations 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. This is the first course in Australia to apply data analytics and big data concepts to optimise operational engineering decisions.
Finance and Investment Analytics
This stream embeds economic and financial econometric analysis within the data and predictive analytics framework. You will gain working knowledge in economics, finance and business data, enabling you to apply your analytic skills in a business context.
Asset Management and Productivity
This stream aims to develop managers who can analyse, interpret and use data relating to the assets and operations of an organisation. You will develop the skills necessary to enhance business effectiveness and provide leadership in productivity improvement and asset-utilisation. The stream focuses on the role that disruptive technologies play and the implications for strategic and operational management and leadership.
Experts in predictive analytics are well placed to handle the big data issues of the future. They understand how to overlay historical and prediction data with supply chain financial data, and can correlate probability assessments for better-informed decisions.
For more information visit curtin.edu/mpredan
With an expanding global presence, including locations in Western Australia, Malaysia, Singapore, Dubai and Mauritius, Curtin University boasts a rich diversity of cultures in its students and staff and a commitment to international engagement. We also have a long-standing focus on Indigenous education and culture, supported by our Centre for Aboriginal Studies.
We offer a range of industry-aligned undergraduate and postgraduate courses in business, humanities, health, engineering and science across our campuses and online, which are available in various study modes. We also deliver select courses through speciality locations in regional Western Australia, including the WA School of Mines in Kalgoorlie, which has an international reputation for excellence in mining education and research.
Fordham University, Gabelli School Of Business
United States of America (USA)
Business Analytics
Master of Science (MSc)
English
1 Year
University of Essex Online
Online
United Kingdom
Business Analytics, Business, Management
Master of Science (MSc)
English
2 Years
EU Business School
Spain, Switzerland, Germany
Business Analytics, Data Science
Master of Science (MSc)
English
1 Year
EU Business School
Online
Spain
Business Analytics, Data Science
Master of Science (MSc)
English
1 Year
Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved