* Deposits. Fee for re-assessment of a dissertation (PGT programme): £360 Submission of thesis after deadline lapsed: £340 Registration/exam only fee: £160
International English Language Testing System (IELTS) Academic module (not General Training)
overall score 6.5
no sub-test less than 6.0
or equivalent scores in another recognised qualification:
Common equivalent English language qualifications
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
ibTOEFL: 90; no sub-test less than:
Reading: 20
Listening: 19
Speaking: 19
Writing: 23
CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59
Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests
For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to 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 scholarship of learning and teaching in statistics.
Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
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.
You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.
You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
More information:click here
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.
Core courses
PROBABILITY (LEVEL M)
STATISTICAL INFERENCE (LEVEL M)
REGRESSION MODELS (LEVEL M)
INTRODUCTION TO R PROGRAMMING (LEVEL M)
BIOSTATISTICS (LEVEL M)
DESIGN OF EXPERIMENTS (LEVEL M)
BAYESIAN STATISTICS (LEVEL M)
ADVANCED PREDICTIVE MODELS (M)
DATA ANALYSIS SKILLS (LEVEL M)
ENVIRONMENTAL STATISTICS (LEVEL M)
DATA MINING (M)
SPATIAL STATISTICS (LEVEL M)
Project
STATISTICS PROJECT AND DISSERTATION
Pre-Sessional English Course
This depends on your starting level. For students aiming for the standard requirement of IELTS 6.5 and starting a degree programme in September we recommend
Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
Graduates of this programme have gone on to work for the NHS and companies such as RBS.
Insurrance_fee: £300/year
