University of St Andrews
Applied Statistics and Data Mining
Undergraduate degree, 2.1 or equivalent, with some mathematical or statistical content. All applicants whose 1st language is not English should be fluent in written and oral English. Preferred credentials are IELTS 7; TOEFL: paper-based 600; computer-based 250; internet-based 100.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2016-2017 academic year; some elements may be subject to change for 2017 entry.
Statistical Modelling: covers the main aspects of linear models (LMs) and generalized linear models (GLMs).
Data Analysis: covers essential statistical concepts, data manipulation and analysis methods, and software skills in commercial analysis packages.
Advanced Data Analysis: covers modern modelling methods for situations where the data fails to meet the assumptions of common statistical models and simple remedies do not suffice.
Applied Multivariate Analysis: introductory and advanced training in the applied analysis of multivariate data.
Knowledge Discovery and Datamining: covers many of the methods found under the banner of "datamining", building from a theoretical perspective but ultimately teaching practical application.
Optional modules: Students choose two optional modules, which can be chosen from across the School's undergraduate and postgraduate-level modules.
Computing in Statistics is strongly recommended unless you have extensive experience.
Computing in Statistics,
Computing in Mathematics,
Time Series Analysis,
Markov Chains and Processes,
Mathematical Biology 1,
Project in Mathematics / Statistics,
Design of Experiments.
Advanced Statistical Inference,
Estimating Animal Abundance,
Advanced Bayesian Inference,
Mathematical Biology 2,
Independent Study Module,
Professional Skills for Mathematical Scientists,
Advanced Project in Mathamatics / Statistics.
In addition, students may take modules from the School of Computer Science that are consistent with the degree. Representative examples of these modules are:
Database Management Systems,
Information Visualisation and Visual Analytics.
Dissertation:MSc students complete a 15,000-word dissertation during the final three months of the course to be submitted by the end of August. Dissertations are supervised by members of teaching staff who will advise on the choice of subject and provide guidance throughout the progress of the dissertation.
Continuous assessment, end of semester exams, and dissertation/project of up to 15,000 words.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2017||GBP 6,800 per Year 1 (EU)||1 years|
|MSc||Full-time||September 2017||GBP 6,800 per Year 1 (England)||1 years|
|MSc||Full-time||September 2017||GBP 16,250 per Year 1 (International)||1 years|
|MSc||Full-time||September 2017||GBP 6,800 per Year 1 (Northern Ireland)||1 years|
|MSc||Full-time||September 2017||GBP 6,800 per Year 1 (Scotland)||1 years|
|MSc||Full-time||September 2017||GBP 6,800 per Year 1 (Wales)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University of St Andrews||St Andrews||KY16 9AX||Scotland|