Identify whether you’re ready for Master’s study, improve your data science skills, and get to grips with the basics of Python.
10,685 enrolled on this course

Duration
2 weeksWeekly study
6 hours100% online
How it works
Get ready for a Masters in Data Science and AI
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?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
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.
Ways to learn | Buy this course | Subscribe & save | Limited access |
---|---|---|---|
Choose the best way to learn for you! | $99/one-off payment | $27.99 For the first two months. Automatically renews | Free |
Fulfill your current learning need | Develop skills to further your career | Sample the course materials | |
Access to this course | tick | tick | Access expires 19 Jun 2023 |
Access to 1,000+ courses | cross | tick | cross |
Learn at your own pace | tick | tick | cross |
Discuss your learning in comments | tick | tick | tick |
Certificate when you're eligible | Printed and digital | Digital only | cross |
Cancel for free anytime |
Ways to learn
Choose the best way to learn for you!
Subscribe & save
$27.99
For the first two months. Automatically renews
Develop skills to further your career
- Access to this course
- Access to 1,000+ courses
- Learn at your own pace
- Discuss your learning in comments
- Digital certificate when you're eligible
Cancel for free anytime
Buy this course
$99/one-off payment
Fulfill your current learning need
- Access to this course
- Learn at your own pace
- Discuss your learning in comments
- Printed and digital certificate when you’re eligible
Limited access
Free
Sample the course materials
- Access expires 19 Jun 2023
Find out more about certificates, Unlimited or buying a course (Upgrades) |
Find out more about certificates, Unlimited or buying a course (Upgrades)
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- 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
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