Course details

Summary

Today's businesses and government bodies deal with huge quantities of data. There is global demand for professionals with strong analytics skills who can help organisations meet the increasing challenges of organising, storing and manipulating data. The Master of Analytics addresses this demand, and provides you with the mathematical, statistical and computational skills for large-scale data modelling. It caters for students from a variety of disciplines, as well as professionals already working in the industry.

Through your studies you develop advanced analytics and database skills as well as an understanding of the latest theory, tools and techniques for statistical modelling and mathematical simulation.

The Master of Analytics will equip students with advanced analytics and database skills as well as an understanding of the latest developments in theory, tools and techniques for statistical modelling and mathematical simulation. You will complete a range of papers, as well as a research project on a topic of your interest.

Structure

To qualify for the Master of Analytics, a student must complete 180 points.

CORE PAPERS

• COMP809 Data Mining and Machine Learning (15 points)
• COMP810 Data Warehousing and Big Data (15 points)
• COMP811 Research Methods (15 points)
• MATH803 Mathematical Modelling and Simulation (15 points)
• STAT802 Advanced Topic in Analytics (15 points)
• STAT804 Optimisation and Operations Research (15 points)

SELECT an additional 2 papers (30 points) as electives from:

• COMP804 Health Analytics (15 points)
• COMP817 Geocomputation (15 points)
• INFS812 Bioinformatics (15 points)
• MATH802 Financial Mathematics (15 points)
• STAT801 Multivariate Analysis (15 points)
• STAT803 Official Statistics (15 points)
• STAT805 Computational Mathematics and Statistics (15 points)

Or any other postgraduate paper with the approval of the programme leader.

And a 60 point (1 semester) research project

• STAT995 Research Project (60 points)

Entry criteria

Applicants must have completed one of the following with a B grade average or higher in papers at level 7:

• a relevant bachelor's degree in mathematical sciences
• a relevant graduate diploma in mathematical sciences

In exceptional circumstances an applicant who does not meet the requirements above but who has an appropriate combination of academic and professional experience may be considered for admission subject to completion of any relevant prerequisite papers.

English Language requirements:

Minimum IELTS (Academic) score of 6.5 overall with all bands 6.0 or higher; TOEFL iBT score of 90; Certificate in English for Academic Study (CertEAS) with A grade; GIE with B+ grade; CAE minimum overall score of 176; PTE minimum overall score of 58.