Bachelor of Science (Statistics) (Hons)
About This Course
Statistics is the scientific application of mathematical principles to the collection, analysis, and presentation of numerical data. Statisticians contribute to scientific inquiry by applying their mathematical and statistical knowledge to the design of surveys and experiments; the collection, processing, and analysis of data; and the interpretation of the results. Statisticians may apply their knowledge of statistical methods to a variety of subject areas, such as biology, business, economics, education, engineering, finance, marketing, medicine, psychology, public health, and sports. In particular, biostatistics is a specialisation of statistics for quantitative research in the health sciences. The designs and analytic methods of biostatistics enable health scientists and professionals in academia, government, pharmaceutical companies, medical research organisations and elsewhere to efficiently acquire knowledge and draw valid conclusions from their ever-expanding sources of information.
What You'll Learn
The core statistical education consists of probability and stochastic processes, statistical principles, computer-aided data analysis, regression analysis, and categorical data analysis. Modules include ST3131 Regression Analysis, ST3236 Stochastic Processes I, MA3229 Introduction to Geometric Modelling, MA3252 Linear and Network Optimisation, MA3256 Applied Cryptography, and MA3259 Mathematical Methods in Genomics.
Honours students majoring in Statistics have the option to specialise in Biostatistics or in Finance and Business Statistics. The department has particular strengths in survival analysis, epidemiology, clinical trials and longitudinal data analysis for Biostatistics, and in time series analysis, statistical methods for actuarial science and finance, and data mining for Finance and Business Statistics.
For the full list of modules and other information regarding this course and their respective specialisations, please refer to http://www.stat.nus.edu.sg/opencms/currentstudents/prog_ugradstruct_FOS.html#BSc2007.
Entry Requirements
Please see course weblink for more information