Pathways

The courses in this pathway are ideal if you are interested in understanding how data science can be applied in multiple fields.

This cluster of courses offer a comprehensive overview of the range of applications for data science and will give you a broad and deep knowledge of the data science landscape.

Among the courses you will study are: 

• Practical Introduction to Data Science
• Introductory Applied Machine Learning
• Earth Observation for Sustainable Development Goals
• Health Data Science
• Practical Image Analysis
• Probability and Statistics

^{Plus an additional 40 credits from the full suite of courses here.  If on the MSc this must include the appropriate dissertation preparation course depending on which school you do your dissertation with.  Please contact us if you would like to discuss potential options.}

This pathway is ideal for you if your existing skillset does not demonstrate a strong technical programming background.

This assembly of courses provides a solid grounding in the computing skills and algorithmic reasoning necessary for modern data analysis. You will learn how to extract knowledge from data in different forms and how to develop and deploy data-driven insights.

Among the courses you will study are:

• Introduction to Python Programming for Data Science
• Working with data types and structures in Python and R
• Practical Introduction to Data Science
• Understanding Data Visualisation
• Programming Skills
• Probability and Statistics
• Introductory Applied Machine Learning
• The use and evolution of digital data analysis and collection tools

^{Plus an additional 10 credits from the full suite of courses here.  If on the MSc this must be the appropriate dissertation preparation course depending on which school you do your dissertation with.  Please contact us if you would like to discuss potential options.}

In this pathway, you will discover how data science is empowering businesses and changing how they are managed.

You will learn how to gather, analyse and interpret data from various sources and domains, in both business and on wider societal scales. You will also learn how to use data science tools and techniques to leverage data and generate value.

Among the courses you will study are: 

• Practical Introduction to Data Science
• Understanding Data Visualisation
• The Use and Evolution of Digital Data Analysis and Collection Tools
• Engaging with Digital Research
• Managing Digital Influence
• Technologies of Civic Participation
• Leading Technology & Innovation in Organisations
• Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

^{Plus an additional 20 credits from the full suite of courses here.  If on the MSc this must include the appropriate dissertation preparation course depending on which school you do your dissertation with. Please contact us if you would like to discuss potential options.}

In this pathway, you will discover how data science and high performance computing (HPC) can help you tackle complex challenges that involve massive amounts of data and computation. You will learn how the power of supercomputers are harnessed to process and analyse data faster and more efficiently.

Among the courses you will study are: 

• Practical Introduction to Data Science
• Practical Introduction to High Performance Computing
• Message Passing Programming
• Threaded Programming
• Programming Skills
• Software Development
• Introductory Applied Machine Learning
• Probability & Statistics

^{Plus an additional 30 credits from the full suite of courses here.  If on the MSc this must include the appropriate dissertation preparation course depending on which school you do your dissertation with.  Please contact us if you would like to discuss potential options.}

If you’re interested in applying for a job as a Data Scientist or similar and you’re looking to gain the skills to be in a position to start doing so, then these courses can help prepare you to do just that.

You’ll be given a broad understanding of data science, its role in a range of applications, and the technical skills needed to leverage data in your decision making.

Among the courses you will study are: 

• Practical Introduction to Data Science
• Introductory Applied Machine Learning
• Probability and Statistics
• Understanding Data Visualisation
• Programming Skills
• Managing Digital Influence
• Natural Computing
• Software Development

^{Plus an additional 10 credits from the full suite of courses here.  If on the MSc this must be the appropriate dissertation preparation course depending on which school you do your dissertation with.  Please contact us if you would like to discuss potential options.}

In this pathway, you will discover how data science can transform the way health and social care services are delivered and improved.

You will learn how to harness the power of data from various sources and domains to create actionable insights in medicine and health and/or social care, and share your findings effectively with different audiences.

Among the courses you will study are: 

• Practical Introduction to Data Science
• Health Data Science
• Managing and leading data-driven innovation
• Data security and protection in health and social care
• Data Ethics in Health and Social Care
• Practical Image Analysis 1
• Practical Image Analysis 2
• Neuroimaging: Image Analysis

^{Plus an additional 30 credits from the full suite of courses here.  If on the MSc this must include the appropriate dissertation preparation course depending on which school you do your dissertation with. Please contact us if you would like to discuss potential options.}