The University of Aberdeen is delighted to offer eligible self-funded international on-campus undergraduate students a £6,000 scholarship for every year of their programme.
This course teaches programming in high level languages and in particular the Wolfram Language (Mathematica). It will introduce all areas of this powerful language, including symbolic and numerical calculations and simulations, links to other high level languages such as R and Python, links to database languages mySQL and Mongo.
We will show how Wolfram Language allows computation to be applied to many areas of data analysis, and modelling. This allows us to gain deep insight into systems.
In this course we study the typical workflow for a data analysis project. We will learn how to access and collect data, how then to clean the data, and organise it in databases to prepare it for later analysis.
We will then perform descriptive and exploratory data analysis and finally visualise the results and create a report.
In this course we will discuss modern methods of machine learning, such as decision trees, regression, Markov models, Bayesian approaches, Nearest Neighbours, random forests, support vector machines and neural networks.
Great emphasis will be given to the actual application of all these methods to small and large data sets.
Visualising the outcome of a data analysis is critical to communicate the results. In this course we will study standard and cutting edge visualisation techniques to make sense of data, and present it in a compelling, narrative-focused story.
Presenting and visualising data and reporting on the result of an analysis are a crucial skill when making sense of data.
In this module we will discuss advanced and cutting-edge statistical tools and techniques.
Some of the topics covered are likelihood, advanced hypothesis testing, outlier detection, data imputation, bootstrap, nonparametric regression and mixed effect models.
This course introduces the tools needed to analyse audio recordings, images and videos.
It will contain aspects of image enhancements, content detection, segmentation analysis (e.g. detecting tumours in medical imaging data), handwritten character recognition, subtitle analysis, and many other techniques.
This course brings together all aspects of data science, from gathering data, to analysis and visualisation, by exploring real world applications of data science. There will be a discussion of some significant achievements of data science when applied to various areas from fundamental business practices to physics. Students will then apply these skills to a group project.
This is a project course for the MSc in Data Science. Students will be given a data science project, which will be supervised by one member of staff. Students will conduct research on that topic in an independent manner.
Students will have to deliver a presentation halfway through the project and hand in a report about the results at the end of the project. This will be followed by an oral examination of the submitted report.
We will endeavour to make all course options available. However, these may be subject to change - see our Amendments to Programmes and Courses document. In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips.
You will be classified as one of the fee categories below.
Fee information
Fee category
Cost
All Students
£1,280
Modular fee programmes - Tuition fees for 2021/22 academic year.
This programme is charged on a modular basis. The fee quoted is per 15 credit points. Fee does not apply to the Individual Project, which is quoted below.
All Students
£2,900
Project - Academic year 2021/22.
This is the fee charged for the Individual Project (60 credits) which is taken at the end of the programme.
Indicative Programme Fee
£13,140
Indicative programme fee based on studies beginning in the 2021/22 academic year.
This fee is calculated on the basis of full-time study of 180 credits of study over 1 year.
Scholarships and Funding
UK Scholarship
Students from England, Wales and Northern Ireland, who pay tuition fees may be eligible for specific scholarships allowing them to receive additional funding. These are designed to provide assistance to help students support themselves during their time at Aberdeen.
Aberdeen Global Scholarship
The University of Aberdeen is delighted to offer eligible self-funded international on-campus undergraduate students a £6,000 scholarship for every year of their programme. More about this funding opportunity.
There are many opportunities at the University of Aberdeen to develop your knowledge, gain experience and build a competitive set of skills to enhance your employability. This is essential for your future career success. The Careers and Employability Service can help you to plan your career and support your choices throughout your time with us, from first to final year – and beyond.
More information on employability at the University of Aberdeen
