In addition to the courses already offered on the DSTI programme the University also offers a range of related MOOCs (Massive Open Online Courses)
Data Ethics, AI and Responsible Innovation
Our future is here and it relies on data. Predictive policing, medical robots, artificial intelligences, smart homes and cities - we can all think about how any of those could go wrong. Discover how we can build a future where they are done right.
This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible research and innovation. The course is informed by case studies supplied by the digital business frontrunners and tech companies. It looks at real-world controversies and ethical challenges to introduce and critically discuss the social, political, legal and ethical issues surrounding data-driven innovation, including those posed by big data, AI systems, and machine learning systems. It drills down into case studies, structured around core concerns being raised by society, governments and industry, such as bias, fairness, rights, data re-use, data protection and data privacy, discrimination, transparency and accountability. Throughout the course, it will emphasise the importance of being mindful of the realities and complexities of making ethical decisions in a landscape of competing interests.
- Video: Data Ethics Trailer
- Data Ethics Trailer
Data Science in Stratified Healthcare and Precision Medicine
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare.
In this course (which launched in April 2018) you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. You will learn from leaders in the field about successful case studies.
Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data.
Additional information is also available in this video:
Statistics: Unlocking the World of Data
At a time where understanding data is becoming more and more important, this course will introduce learners to the fundamentals of statistics, and provide them with a toolkit to better understand the data and statistics we encounter in everyday life.
We will be looking at what data is, how we present it, and how statistics is used to investigate many challenging issues and scientific advances, from global warming to modern-day slavery, or from the decline of biodiversity to advances in pharmaceutical research. Through a combination of videos, examples, interactive apps, discussions and quizzes, you will be taken on a journey into the heart of statistics.
Driving Value from Data
The online Driving Value From Data course takes you through the growth opportunities presented by data.
It will help you to champion data as a business opportunity to realise your company’s full potential. You’ll gain confidence to add value through better data use and be equipped with a complete data readiness assessment to integrate your learning.
You will learn how to transform your business into one that uses data effectively, with speed and certainty by understanding the value of data, how to create a culture of ethical data use, and where to start (without spending too much money).
The Data Lab have created this self-paced course based on the experiences of leading industry practitioners. Working with them to ensure that the content was meaningful, practical, and actionable.
What will you learn?
- Improved data literacy, and how to maximise the value of data in your organisation
- An understanding of your organisation’s data readiness, and how to communicate this to stakeholders
- Create a roadmap for your transformational data strategy, with actionable steps, tips and tricks from expert practitioners
- Understand your organisation’s data readiness to understand data projects, and where investment is needed
Today’s supercomputers are the most powerful calculating machines ever invented, capable of performing more than a thousand million million calculations every second. This gives scientists and engineers a powerful new tool to study the natural world – computer simulation.
Using supercomputers, we can now conduct virtual experiments that are impossible in the real world – from looking deep inside individual atoms, to studying the future climate of the earth and following the evolution of the entire universe from the big bang.
This free online course will introduce you to what supercomputers are, how they are used and how we can exploit their full computational potential to make scientific breakthroughs.
Data Science for Ecologists and Environmental Scientists
This course is developed for international audiences, but is also uniquely Scottish with real-world data to put quantitative skills into the context of key ecological questions. The three course themes introduce learners to key elements of data science - ‘Stats from Scratch’, ‘Wiz of Data Vis’ and ‘Mastering Modelling’. The 16 individual tutorials that make up the course in addition to the further 25 tutorials hosted by Coding Club allow learners to create their own bespoke learning pathway to gaining key skill sets.
Quizzes and challenges test knowledge, but also allow users to join a larger community of learners and gain confidence in their own skills. Join the hundreds of thousands of Coding Club users and develop your data science skills through this entirely free and engaging online learning initiative.
Additional University of Edinburgh MOOCs
A full list of MOOCs offered throughout the University of Edinburgh in a number of subject areas is available here: