• Coventry University logo

Get ready for a Masters in Data Science and AI

Identify whether you’re ready for Master’s study, improve your data science skills, and get to grips with the basics of Python.

5,443 enrolled on this course

Get ready for a Masters in Data Science and AI
  • Duration

    2 weeks
  • Weekly study

    6 hours

Get a taste of life as a Data Science and AI Master's student

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.

What topics will you cover?

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

When would you like to start?

  • Date to be announced

Add to Wishlist to be emailed when new dates are announced

Learning on this course

You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Plan and prioritise options for study in order to enter the data science field
  • Explore the various elements of data science, including mathematics and Python programming
  • Enter further study with confidence
  • Produce a data science output

Who is the course for?

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.

What software or tools do you need?

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.

Who will you learn with?

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

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

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

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.

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 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.

Promoted by

Institute of Coding logo

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.

  • Established

    1992
  • Location

    Coventry

Endorsers and supporters

content provided by

UWE Bristol logo

content provided by

University of Bath

content provided by

Queen Mary University London logo

content provided by

University of Exeter

content provided by

University of Sunderland logo

content provided by

Aston University logo

content provided by

Birkbeck, University of London logo

content provided by

Manchester Met logo

content provided by

University of Gloucestershire logo

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

Want to know more about learning on FutureLearn? Using FutureLearn

Learner reviews

Learner reviews cannot be loaded due to your cookie settings. Please and refresh the page to view this content.

Do you know someone who'd love this course? Tell them about it...