Statistical Science (Master)
This course information is for local students only
Year
2012
Award
Master of Statistical Science
Length
2 years full-time or up to 4 years part-time
Campuses
Melbourne
Course description
The course provides opportunities for postgraduate students to further their understanding of the statistical modelling of physical, biological and economic phenomena so they can contribute to applied research and development in industry, commerce and research. It particularly emphasises data analysis using computer-related technology.
Course structure
Students choose from a wide range of subjects and complete an internally-examined minor thesis in second year. Electives include: Regression Analysis, Applied Financial Econometrics, Financial Econometrics, Game Theory and Applications, Statistical Inference, Statistics for Quality and Productivity in Industry, Time Series Analysis, Advanced Data Analysis, Spatial Analysis, Financial Mathematics, and Analysis of Medical Data.
Contact hours
8 contact hours per week (average)
Subject details
Overseas study opportunities
Overseas study opportunities are available.
Please see
www.latrobe.edu.au/international/exchange
for more information
Application
Apply directly to the University up to two weeks prior to the commencement of of the course. Visit our postgraduate website to download an application form.
Fee type
Fees (Fee-Help available)
Annual (or Total) Tuition Fee (AUD)
Indicative (2012): $16,720 per 120 credit points.
Scholarships
A variety of scholarships and prizes are available for postgraduate students at La Trobe. Visit the postgraduate scholarships webpage for details http://www.latrobe.edu.au/scholarships/postgraduatesPrerequisites
Bachelor degree with statistics as a major area of study. Students with a Pass degree complete the course in two years; Honours graduates can enter at second-year level.
Semester starts
Semester 1 and 2 (March and July)
Career opportunities
Statisticians work across a wide range of industries, performing business analysis, risk analysis, forecasting, market analysis, and scientific analysis. Opportunities for highly skilled statisticians have been growing steadily in recent years, and this trend is expected to continue.
Professional recognition
Students who have completed the first year of the Master of Statistical Science are eligible for accreditation as an Accredited Statistician (AStat) by the Statistical Society of Australia Inc, provided that they have 4 years of practical experience in applying statistics.