Biostatistics [MSc]

4.7
5 reviews
  • University is good and learning experience was great and its a good university which could use more space. One thing to count is that they could use theory less in the coursework.
    |
  • I had a great experience and every year was better and I had a nice time in all.
    |
  • The school is an uncommon spot and reliably is invigorating in its own specific way. It is challenging but fresh. I am having a great time here. There are many things to focus on your career
    |

Postgraduate

In Glasgow

Price on request

Description

  • Type

    Postgraduate

  • Location

    Glasgow (Scotland)

  • Start date

    Different dates available

The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence. Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA. The University of Glasgow’s School of Mathematics and Statistics is ranked 4th in Scotland (Complete University Guide 2015). Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics. You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems. You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required. With a 94% overall student satisfaction in the National Student Survey 2014, the School of Mathematics and Statistics combines both teaching excellence and a supportive learning environment.

Facilities

Location

Start date

Glasgow (Glasgow City)
See map
University Avenue, G12 8QQ

Start date

Different dates availableEnrolment now open

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Reviews

4.7
excellent
  • University is good and learning experience was great and its a good university which could use more space. One thing to count is that they could use theory less in the coursework.
    |
  • I had a great experience and every year was better and I had a nice time in all.
    |
  • The school is an uncommon spot and reliably is invigorating in its own specific way. It is challenging but fresh. I am having a great time here. There are many things to focus on your career
    |
100%
4.4
fantastic

Course rating

Recommended

Centre rating

Gabor Daniel Borics-Kurti

5.0
26/05/2019
About the course: University is good and learning experience was great and its a good university which could use more space. One thing to count is that they could use theory less in the coursework.
Would you recommend this course?: Yes

beth

5.0
25/05/2019
About the course: I had a great experience and every year was better and I had a nice time in all.
Would you recommend this course?: Yes

Conlan Gallacher

4.5
25/05/2019
About the course: The school is an uncommon spot and reliably is invigorating in its own specific way. It is challenging but fresh. I am having a great time here. There are many things to focus on your career
Would you recommend this course?: Yes

C

4.0
22/05/2019
About the course: I am already recommending it to other people. The whole experience was pretty good. I don't like the way economics has been taught. It could be improved. Apart from this everything was perfect.
Would you recommend this course?: Yes

Oier Aristizabal

5.0
08/10/2018
What I would highlight: If you want it to be just like an American college, stay at home.Bring good shoes, expect to get a little muddy, and explore! It was a great learning experience in all. Thanks!
What could be improved: I can't say nothing.
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

Subjects

  • IT
  • Statistics
  • Skills and Training
  • School
  • GCSE Mathematics
  • University
  • Project
  • Teaching
  • Mathematics
  • Genetics

Course programme

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 (compulsory)
  • Bayesian statistics
  • Biostatistics
  • Generalised linear models
  • Introduction to R programming
  • Probability 1
  • Regression models
  • Statistical inference 1
  • Statistics project and dissertation.
Optional courses (five chosen, but at least one course must be from Group 1)

Group 1

  • Data analysis
  • Professional skills.

Group 2

  • Data management and analytics using SAS
  • Design of experiments
  • Functional data analysis
  • Spatial statistics
  • Statistical genetics
  • Time series.

1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director.

Summer (May – August)
Statistics project and dissertation (60) - applying statistical methods and modelling to data collected from research in a biomedical discipline, assessed by a dissertation.

Additional information

  • To complete the MSc degree you must undertake a project worth 60 credits. This is a project chosen by you to investigate a challenging statistical problem, where you will investigate the background to the project; identify relevant statistical methodology, formulate and implement an appropriate analysis plan, present your work orally and in a dissertation.
  • The project will integrate the subject knowledge and generic skills that you will acquire during your Masters.
  • We offer a wide range of projects, and each student is allocated an individual...

Biostatistics [MSc]

Price on request