This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.
**WHY THIS PROGRAMME**
- Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
- Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the sc...
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.<br/><br/>**WHY THIS PROGRAMME**<br/><br/><br/>- Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.<br/><br/><br/>- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.<br/><br/><br/>- Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.<br/><br/><br/>- Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.<br/><br/><br/>- You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.<br/><br/><br/>- You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.<br/><br/><br/>- Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.<br/><br/><br/>- You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.<br/><br/><br/>**PROGRAMME STRUCTURE**<br/><br/>Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.<br/>Semester 1<br/>Core courses<br/><br/>BIOSTATISTICS (LEVEL M)<br/>INTRODUCTION TO R PROGRAMMING (LEVEL M)<br/>MULTIVARIATE METHODS (LEVEL M)<br/>PROBABILITY (LEVEL M)<br/>REGRESSION MODELS (LEVEL M)<br/>STATISTICAL INFERENCE (LEVEL M)<br/><br/>Semester 2<br/>Core courses<br/><br/>ADVANCED PREDICTIVE MODELS<br/>BAYESIAN STATISTICS (LEVEL M)<br/>DATA ANALYSIS SKILLS (LEVEL M)<br/>Optional courses (choose 3)<br/><br/>DESIGN OF EXPERIMENTS (LEVEL M)<br/>ENVIRONMENTAL STATISTICS (LEVEL M)<br/>FUNCTIONAL DATA ANALYSIS (LEVEL M)<br/>SPATIAL STATISTICS (LEVEL M)<br/>STATISTICAL GENETICS (LEVEL M)<br/>Project (summer)<br/><br/>STATISTICS PROJECT AND DISSERTATION
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
12 Months
Start Date
09/2025
Campus
Gilmorehill (Main) Campus
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
G28
Points of Entry
Unknown
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