Get ready for a Masters in Data Science and AI

On this course, you’ll have the opportunity to explore the disciplines involved in a Master’s degree in Data Science and Artificial Intelligence (AI).

You’ll be asked to work through the fundamentals of coding in Python, and be encouraged to discover other important elements of the field, like mathematics, statistics, and data science thinking.

You’ll be asked to produce your own piece of data science output, get introduced to data ethics, and be taught about the work of data scientists.

This course should help you to assess your understanding of data science and the surrounding topics and should help you to make an informed decision around choosing a Master’s in Data Science and Artificial Intelligence.

Usually courses are 6 hours per week. Based on the results of your self-assessment we advise you to choose the content most appropriate for you. But you are also welcome to complete the whole course which would be a total of 20 hours.

• Programming
• Mathematics
• Data fundamentals
• Statistical thinking
• Privacy and ethics
• Context and environments

Who will you learn with?

Mark Johnston

Mark is an Assistant Professor in the School of Computing, Electronics and Mathematics at Coventry University in the UK.

 

 

Paul Matthews

Paul is Senior Lecturer in Information and Data Science in the
Department of Computer Science and Creative Technologies at UWE Bristol in the UK

 

 

James Davenport

Professor of Information Technology at the University of Bath, in both Mathematical Sciences and Computer Science. Is on ISO/IEC JTC 1/SC 42/WG 3: Trustworthiness of Artificial Intelligence.

 

William Sayers

Senior lecturer at the University of Gloucestershire. Researcher in artificial intelligence techniques applied to optimisation problems, and an interest in Data Science, AI & optimisation.

 

 

Daniel McCluskey

Daniel is a Research Assistant for the Creative Computing school at the University of Gloucestershire, where he writes course material for Artificial Intelligence and Programming courses.

 

Michael Tautschnig

Michael is a Lecturer at Queen Mary University of London, UK and Senior Security Engineer at Amazon Web Services. In his research, Michael focuses on automated software verification.

 

 

Who developed the course?

Coventry University

Coventry secured gold in the UK Government’s 2017 Teaching Excellence Framework (TEF) and is University of the Year for Student Experience in The Times & The Sunday Times Good University Guide 2019.

Topics for this course

Material Includes

Requirements

• We will be using Jupyter Notebook to learn Python. There are many ways to try Jupyter Notebook for free, including Google Colab, Try Jupyter classic notebook or JupyterLab, or install the Anaconda Individual Edition.

Tags

• This course is designed for prospective Master’s students looking to enter the Data Science field who would like to learn more about the disciplines involved. This course is also for students who have an interest in Data Science and AI.
• The course has been developed by a collaborative partnership of leading Higher Education Institutions led by Coventry University.