Степень магистра
24 months
Application deadlines: No deadline
Processing time: 30 days
Application fee: A$80
Очно
Intakes: March, July
International tuition: A$35,400
Domestic tuition: A$29,800
Обзор программы
Big data and cloud computing
Work at the forefront of the Big Data and cloud industries by using your scientific data findings to help organisations plan strategically.
Big Data and cloud computing are ever-evolving fields, so the demand for specialists is only set to increase.
Analytical science
Develop a high level of proficiency in data-analysis, modern statistical software, meta-analysis, analysis of repeated measures data and models for bioinformatics.
Choose elective subjects such as advanced statistics, health sciences and business and computing technologies.
Bioinformatics
Learn about the collection, classification, storage and analysis of biological and biochemical information using computers – specifically in relation to molecular genetics and genomics.
Варианты обучения

This program can be done
В кампусе
Требования
Экзамены:
- IELTS
Academic entry requirement
An Australian Bachelor's degree or international equivalent.
English language requirement
IELTS (Academic) score of 6.5 with no individual band score less than 6.0.
Карьерные возможности
Data science is a highly-employable field with a global demand. As a graduate, you can expect to find work as a:
*Data scientist
Identify, vet, gather and analyse data.
Use visualisation tools to present your findings clearly.
Work individually and in teams to provide support to business operations, marketing and management.
Help improve data collection and strategy.
*Bioinformatician
Develop methods of research and analysis in relation to biological data.
Work in teams and individually to find solutions to problems.
Cleanse, organise and maintain data sets.
Present your findings and information to relevant stakeholders.
*Machine-learning engineer
Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create efficient and effective machine learning solutions.
*Business intelligence analyst
Design, script and build business intelligence solutions for business intelligence.
Create data models, reports and conduct security analysis.
*Statistician
Provide statistical support to management and stakeholders.
Design, analyse and report on statistical data.
Improve data collection and storage.
Местонахождение кампуса
Melbourne
,
Australia