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International requirements and visas

We can help you meet our English language or academic entry requirements.

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Top reasons to choose this course

• Work in collaboration with external partners, such as banking institutions, energy companies, NHS, using real data sets to prepare you for work.
• Placement opportunity to gain work experience and make valuable contacts. 
• Guest speakers from industry delivering seminars and workshops
• Work with data examples of real applications covering examples in data mining, data science life cycle, Big Data, AI, financial data, health data, credit risk, and customer base analysis. 
• Access to computer labs with specialist software including SAS, SPSS, SPSS Modeller, R, RStudio. 
• By undertaking the Programming for Analytics with SAS option module you are eligible for SAS Specialisation (SAS Joint Certificate), with evidence of SAS skills in your final project. 

Our mathematics department has SAS Academy status. SAS is one of the largest providers of business analytics software in the world. Academy status gives our students the opportunity to meet SAS customers and their industry partners at careers fairs, to train in skills needed by a wide range of companies and organisations, and to be prepared for SAS certification exams. 

Syllabus

The course covers three main areas:

• data management – structuring and manipulating data for analysis purposes
• data interpretation – statistical analysis using advanced features of industry-standard software such as SAS, R, Python and SQL.
• project management – the business-specific and strategic aspects of analytics.

You will study five core modules. One of these involves a major project, potentially in collaboration with industry. You will also choose option modules allowing you to focus on particular areas of interest.

Modules

Core modules

• Data Management

  Databases form the underlying framework of information systems in businesses and organisations, and this module will equip you with an understanding of contemporary database management systems. It also provides you with a methodology for database design and development, as well as skills in searching, reporting and analysing the data.

• Business Analytics Strategy and Practice

  Data analytics is inextricably linked to business strategy, and this module will introduce you to a variety of business and management concepts including leadership, change, team working and project planning. You will also explore analytical aspects of business goals, business knowledge and business evaluation and how to effectively apply analytical results.

• Introduction to Statistical Data Analysis with R

  This module will teach you the basics of statistics and computer programming needed for data analysis. You will use R to run computer simulations and explore random processes. You'll use what you've learned during the module to complete a realistic data analysis project.

• Data Mining and Knowledge Discovery in Data

  In this module you will study a range of data analysis and machine learning methods for turning raw data into useful information and knowledge that provides a solid basis for operational and other decisions arising within different professional situations. You will learn how these methods work and how to select the most appropriate ones to find useful and relevant patterns, trends and anomalies in data sets.

• Project

  During this module you will undertake a major analytics project involving researching patterns and trends in data that provide business information and knowledge. The data research enables you to use the concepts and methods learned from previous modules and provides you with the opportunity to demonstrate self-planning, self-study, initiative and motivation. Most research projects will be industrially based using real data sets.

Options*

• Multivariate Analysis and Statistical Modelling

  Building on your prior knowledge of probability and statistics, including the use of software for statistical analysis, this module will provide you with the capability to design statistical experiments, analyse multivariate data and apply statistical modelling techniques in practical scenarios. It will enable you to enhance your skills in using specialist software of your choice.

• Medical Statistics

  The module is concerned with the application of statistical concepts, models and techniques to analyse, compare and evaluate the data from medical studies. The skills you develop here will be applicable to other similar studies in scientific and business contexts. Topics include analysis of longitudinal studies; survival analysis; sample size calculation; and regression analysis.

• Programming for Analytics with SAS

  You will enhance your skills in computer programming using SAS software in the context of data analytics during this module, which features teaching materials developed with industry-leading experts in statistics and analytics from the SAS Institute. The goal is to build sufficient SAS programming skills and understanding of statistical concepts to complete a major data analysis project.

• Forecasting and Credit Risk Analysis

  This module provides an introduction to the statistical methods used to estimate risk and reward in retail credit, with a particular focus on credit risk and credit score models for application of loans. It will also provide you with an understanding of forecasting methods and their application, using examples from areas such as economic and marketing time series.

*Option modules are indicative and may change, depending on timetabling and staff availability.

Placement year

To further increase your employability and international experience we offer full-time students starting in September the opportunity to take a placement year. This means that your course will take two years, but you’ll be graduating with work experience.

The year on placement in a role related to your course will allow you to put all that you have learned on your masters into practice, enhancing your career opportunities and giving you practical experience in your area of expertise.

The placement is assessed formatively throughout the year, giving you the chance to reflect on your experience and helping to build your CV.

Work placements are optional, and you'll arrange your placement with support from our dedicated Placements and Employability team.

We offer a two-year international study visa route to support applications for this course.