Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
This course will equip students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. You will develop a range of in-demand skills for extracting and handling ‘big data’ and applying modelling tools to help businesses and government organisations make better decisions.
On completion of the course, you will be well placed to progress into a variety of roles in data-intensive industries or a related research career.
This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Mathematics.
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.
With your online application you will need to provide:
A copy of your degree certificate and transcripts which show you have achieved a 2:2 honours degree in a relevant subject area such as engineering, mathematics, or science, or an equivalent international degree. If your degree certificate or result is pending, please upload any interim transcripts or provisional certificates.
A copy of your IELTS certificate with an overall score of 6.5 with 5.5 in all subskills, or evidence of an accepted equivalent. Please include the date of your expected test if this qualification is pending. If you have alternative acceptable evidence, such as an undergraduate degree studied in the UK, please supply this in place of an IELTS.
For fees and funding options, please visit website to find out more
The skills you gain during the programme will equip you for graduate roles in this field. Previous postgraduates have gone on to work with a variety of companies and Government organisations including the Office for National Statistics, Lloyds Banking Group, Nationwide, British Airways, Network Rail, UK Government, The Financial Times, Virgin Media, Welsh Water and Admiral Insurance.
Core Modules:
Applied Machine Learning
Computational Data Science
Foundations of Operational Research and Analytics
Foundations of Statistics and Data Science
Dissertation
Optional Modules:
Distributed and Cloud Computing
Human Centric Computing
Data Visualisation
Databases and Modelling
Statistics and Operational Research in Government
Healthcare Modelling
Stochastic Search and Optimisation
Time Series
Statistical Programming with R and Shiny
Mathematical Methods for Data Mining
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