Data Analytics [MSc]
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I would recommend it wholeheartedly. The university and the city are so great. The teaching style is amazing. It is a warm and friendly place to live.
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University is the best choice for me. The staff is amazing and so helpful. The workload is not a big problem as the university offers great support and help. City is very much welcoming and students didn't find it so overwhelming.
← | →
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I have enjoyed the time I have spent here. The campus, teachers and the students are amazing and the societies are like icing on the cake. Definitely up for my recommendation
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Postgraduate
In Glasgow
Description
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Type
Postgraduate
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Location
Glasgow (Scotland)
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Start date
Different dates available
The University of Glasgow’s School of Mathematics and Statistics is ranked third in Scotland and eleventh in the UK (Complete University Guide 2017). The Statistics Group at Glasgow is the largest Statistics group in Scotland and internationally renowned for its research excellence.
Facilities
Location
Start date
Start date
Reviews
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I would recommend it wholeheartedly. The university and the city are so great. The teaching style is amazing. It is a warm and friendly place to live.
← | →
-
University is the best choice for me. The staff is amazing and so helpful. The workload is not a big problem as the university offers great support and help. City is very much welcoming and students didn't find it so overwhelming.
← | →
-
I have enjoyed the time I have spent here. The campus, teachers and the students are amazing and the societies are like icing on the cake. Definitely up for my recommendation
← | →
Course rating
Recommended
Centre rating
Deborah Davy
Az
Chris
Katy Smith
Subjects
- IT
- Statistics
- University
- GCSE Mathematics
- Mathematics
Course programme
- Preliminary Mathematics for Statisticians 1
- Probability 2
- Statistical Inference2
- Regression Models2
- Introduction to R Programming
- Data Management and Analytics using SAS
- Bayesian Statistics
- Generalised Linear Models
- Big Data Analytics
One Course is optional for students with sufficient background in Linear Algebra and Calculus.
Two students who have already completed an equivalent course can substitute this course by any other optional course, including optional courses offered as part of the MRes in Advanced Statistics (see the website for details).
In your project (60 credits) you will model data collected from research in environmental science, assessed by a dissertation.
Optional coursesChoose two courses from group 1, one course from group 2 with the remaining courses coming from groups 1, 2 or 3.
Group 1
- Programming
- Artificial Intelligence
- Information Retrieval
- Machine Learning
Group 2
- Professional Skills
- Data Analysis
Group 3
- Biostatistics
- Multivariate Methods
- Time Series
- Design of Experiments
- Stochastic Processes
- Environmental Statistics
- Financial Statistics
- Statistical Genetics
- Spatial Statistics
- Functional Data Analysis
In your project (60 credits) you will tackle a complex data analytical problem or develop novel approaches to solving data analytical challenges.
Additional information
We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations...
Data Analytics [MSc]
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