Course Structure

The core of our Data Science Masters programme covers all essential skills, whilst flexible module choices allow students to shape their learning according to their interests.

Taught Course Component

The MSc in Data Science consists of five 'core' modules. 3 are taken by all students and the remaining 2 are selected according to each student's level of statistical knowledge.

  • Data Science Fundamentals
  • Data Mining and Analytics
  • Programming for Data Scientists

with either (General Statistics):

  • Statistical Modelling
  • Statistical Inference

or (Advanced Statistics):

  • Generalised Linear Modelling
  • Likelihood Inference

The core modules provide a firm foundation spanning data science fundamentals including: research question formulation, programming and computing, data synthesis and extraction, visualisation, data mining, statistical modelling and inference and results dissemination.

Students choose a specialism to that enables them to focus their learning on the use of technology in current data science or in the techniques needed for advanced statistical modelling and inference. 

Computing Specialism

The Computing specialism of the Data Science MSc is aimed at students with a background in computer science who want to develop strong quantitative, data handling and analytical skills, along with skills that support the engineering of systems to support data science. 

Statistical Inference Specialism

The Statistical Inference specialism of the Data Science MSc is for students with a background in mathematics and statistics who want to develop their statistical, computing and analytical skills for the extraction, synthesis, processing and analysis of large and complex data.

Health Pathway

Within the Statistical Inference Specialism, there is the option of further specialisation in the application of data science methods in health by selecting the modules of the Health Pathway. The Health Pathway is intended for students seeking a career in Health Informatics, Clinical Trial Management, or Health Data Analysis.

Business Intelligence Pathway

Also within the Statistical Inference Specialism, there is the option of further specialisation in the application of data science methods to Marketing, Sales and Finance by selecting the modules of the Business Intelligence Pathway. The Business Intelligence Pathway is intended for students seeking a career in Financial Analysis, Business Intelligence or Data-driven Marketing.

Dissertation

Students also complete a substantial, supervised, project (Dissertation) aimed at solving an important data scientific question. The Dissertation will typically be facilitated by an internship within an organisation to provide hands-on experience of the Data Scientist role within the respective organisation. Many placements will have an associated placement bursary. The Dissertation is completed during the summer term after completion of the taught course element.

Part-time Option

Students have the option of completing the course over 2 years. Lectures and taught courses take place in the Autumn and Spring of each year with exams taking place in Summer. Part-time students will have the choice of either completing the first term of the programme in their first year and the second term in their second year, or spreading their studies across the Spring and Autumn terms of both years.