Mres Advanced Statistics

at University of Glasgow

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.
 

Students Are Required To Take 1 Compulsary Taught Course And Select 11 Courses From The Optional Courses In Semesters 1 And 2. We Recommend You Take 6 Courses Per Semester.
 

Note: Course Choice Is Subject To Timetabling Constraints And Should Be Discussed With Your Advisor Of Studies.
 

Semester 1

Optional Courses

• Advanced Bayesian Methods (Level M)
• Biostatistics (Level M)
• Flexible Regression (Level M)
• Linear Mixed Models (Level M)
• Multivariate Methods (Level M)
• Principles Of Probability And Statistics (Level M)
• Stochastic Processes (Level M)
• Introduction To Statistical Programming In R And Python
   

This Course Introduces Students To The Basic Concepts And Ideas Of A Statistical Computing Environment; Trains Students In Programming Tools Using The R And Python Computing Environments; Provides Computational Skills Which Will Support Other M-Level Courses; And Introduces Students To Fundamental Concepts In (Scientific) Programming In General.

Semester 2

Core Course

• Data Analysis Skills (Level M)
   

Optional Courses

• Bayesian Statistics (Level M)
• Design Of Experiments (Level M)
• Environmental Statistics (Level M)
• Functional Data Analysis (Level M)
• Spatial Statistics (Level M)
• Statistical Genetics (Level M)
• Advanced Predictive Models
• Project (Summer)
• Advanced Statistics Project And Dissertation

A first degree equivalent to a UK Upper Second Class Honours degree with:

• a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow)

• a substantial component of Statistics methodology, including at least Honours-level courses in probability theory, likelihood-based inference and the theory of linear models
   

This programme is not available to recent graduates who have been awarded an undergraduate degree in Statistics from the University of Glasgow.
 

Only applications that meet or exceed our stated entry requirements will go forward for consideration. Any application that does not will be automatically rejected. Applicants will be made offers based on their relative performance compared to other applicants, considering both current GPA to date or degree classification; English language level achieved to date; and  the relevance of an applicant’s academic background. If an offer is made, it may be unconditional or conditional on completing a degree or obtaining the required English language scores.
 

English language requirements
 

For applicants whose first language is not English, the University sets a minimum English Language proficiency level.
 

International English Language Testing System (IELTS) Academic module (not General Training)

• 6.5 with no subtests under 6.0. 

• Tests must have been taken within 4 years 5 months of start date. Combined scores from two tests taken within 6 months of each other can be considered.
   

Common equivalent English language qualifications
 

All stated English tests are acceptable for admission to this programme:
 

TOEFL (ibt, my best or athome)

• 90 with minimum R 20, L 19, S 19, W 23. 

• Tests must have been taken within 4 years 5 months of start date. Combined scores from two tests taken within 6 months of each other can be considered.
   

PTE (Academic or Academic Online)

• 60 with minimum 59 in all sub-tests.

• Tests must have been taken within 4 years 5 months of start date. Combined scores from two tests taken within 6 months of each other can be considered.
   

Cambridge Proficiency in English (CPE) and Cambridge Advanced English (CAE) 

• 176 overall, no subtest less than 169

• Tests must have been taken within 4 years 5 months, combined scores from 2 tests sat within 6 months of each other can be considered.
   

Glasgow International College English Language (and other foundation providers)

• 65%.

• Tests are accepted for academic year following sitting.
   

University of Glasgow Pre-sessional courses

• Tests are accepted for 2 years following date of successful completion.
   

Alternatives to English Language qualification

• Undergraduate degree from English speaking country (including Canada if taught in English)

• Undergraduate 2+2 degree from English speaking country

• Undergraduate 2+2 TNE degree taught in English in non-English speaking country

• Masters degree from English speaking country

• Masters degree (equivalent on NARIC to UK masters degree) taught in English in non-English speaking country.

UK

• Full-time fee: £11520
   

International & EU

• Full-time fee: £27930
   

Deposits

• International applicants are required to pay a deposit of £1000 when an offer is made.

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.
 

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.