Sorry, this page is no longer available
We may earn an affiliate commission when you visit our partners.
Course image
Martyn Clayden and Christianne Bailey

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone looking to improve their knowledge of decision-making and risk within an organisation or business. Please note that the individuals detailed in the ‘Who will you learn with?’ section below, are current staff members and may be subject to change.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone looking to improve their knowledge of decision-making and risk within an organisation or business. Please note that the individuals detailed in the ‘Who will you learn with?’ section below, are current staff members and may be subject to change.

Topics Covered

  • The difference between risk and uncertainty: are our professional and personal decisions as good as we think they are?
  • The nature of data and information
  • The challenges facing data management
  • Risk management
  • Barriers to effective decision-making

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Foundational decision-making and risk overview

According to students, this course offers a solid introductory foundation in decision-making and risk management for business contexts. Learners highlight its clear distinction between risk and uncertainty and insights into barriers to effective decisions. Praised for being well-structured and accessible, it simplifies complex topics for newcomers. While providing a comprehensive overview, learners note that those seeking advanced practical application might require supplemental study. It's considered a highly relevant starting point for professionals.
Best for beginners seeking an initial overview.
"As an introductory course, it's perfect, but I wouldn't recommend it for advanced learners."
"I felt it was a good starting point, though I'll need to seek more in-depth material for specific areas."
"It covers a broad range of topics without diving too deep, which is fine for a beginner."
Content flows logically and is easy to follow.
"The modules were well-organized, making it easy to progress through the material."
"I found the pacing just right, not too fast or too slow for an introductory subject."
"The course structure helped me build knowledge progressively, chapter by chapter."
Offers insights applicable to organizational settings.
"The examples provided helped me see how these concepts apply directly to business operations."
"I can immediately use the strategies for identifying decision barriers in my workplace."
"This course is highly relevant for anyone in a professional setting dealing with organizational decisions."
Explains core principles of risk and decision-making.
"I appreciated how the course clearly explained the difference between risk and uncertainty from the start."
"It's a great introduction; I found the initial modules on data and information very accessible."
"The course did an excellent job of breaking down complex ideas into understandable segments."

Activities

Coming soon We're preparing activities for Decision-making and Risk: An Introduction. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Decision-making and Risk: An Introduction will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Explores the systematic ways in which people defy rational economic predictions, offering numerous examples of irrational behavior in decision-making. It's excellent for gaining a broad understanding of behavioral economics and its impact on choices. It serves as valuable additional reading to complement theoretical concepts.
Explores the paradox of choice, arguing that having too many options can lead to indecision and regret. Iyengar provides practical advice on how to navigate choices effectively and make better decisions.
Presents a collection of 50 decision-making models that can be applied to a wide range of situations. Mauboussin provides clear and concise explanations of each model, along with real-world examples of how they can be used.
Draws on the author's experience as a professional poker player to provide insights into how to make better decisions under uncertainty. Duke emphasizes the importance of probabilistic thinking and risk management.
Provides guidance on how to build trust and credibility as a professional. It covers topics such as communication, active listening, and problem-solving, which are essential skills for effective decision-making.
Argues that an excessive number of choices can lead to decreased satisfaction, anxiety, and decision paralysis. It's highly relevant for understanding the psychological impact of choice on well-being and valuable read for all audiences.
Examines the science of willpower and provides practical strategies for developing self-control. McGonigal explores the role of willpower in decision-making and how it can be strengthened.
Save
Provides insights into the psychology of persuasion. The authors explore how we can use principles of influence to communicate more effectively and make better decisions.
Save
Introduces the concept of 'nudge theory' and choice architecture, explaining how subtle changes in the way options are presented can influence decisions for the better. It's highly relevant for understanding applied decision-making in public policy and organizational settings. The revised edition includes updated insights.
Drawing on the world of poker, this book teaches readers how to make better decisions in uncertain environments by thinking in terms of probabilities and outcomes. It's highly relevant for understanding decision-making under uncertainty and is valuable for students and professionals in fields with inherent risk.
Save
This contemporary book explores the concept of 'noise' – unwanted variability in judgments – and its detrimental effects on decision-making in various professional fields. It's essential for graduate students and professionals seeking to deepen their understanding of judgment and improve decision quality.
Introduces the Naturalistic Decision Making (NDM) framework, focusing on how experienced individuals make decisions in complex, real-world settings. It offers a different perspective than traditional rational choice theory and is valuable for those interested in decision-making in high-stakes environments.
This classic collection of essays foundational text in the study of judgment and decision-making, outlining key heuristics and biases that affect human judgment. It is essential reading for graduate students and researchers in psychology, economics, and behavioral science.
Provides a comprehensive and engaging exploration of the two systems of thinking that drive our behavior, System 1 (fast, intuitive) and System 2 (slow, rational). It examines how these systems interact and how we can use this knowledge to make better decisions.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser