Last modified: 12 Dec 2024 11:46
This course provides an introduction to evidence-based decision making. It is designed based on the premise that executives can make better decisions when they believe in evidence and have the skill to use it. The course helps students to make better personal and professional decisions. In particular, the aim of this course is to enable students to solve real-world business problems or to discover new business opportunities using the available data and evidence.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Third Term | Credit Points | 30 credits (15 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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The course will introduce the notion of evidence-based decision making and asks how managers can use available data and evidence to make informed business decisions. The aim of this course is to help students acquire practical skills in tackling business problems using data, digital tools and evidence. Students will take an applied empirical approach to solve various business problems. In the way of addressing those business problems, the students will gain a broad understanding of the key data analysis techniques. Hence, this course is complementary to general management courses that equip students with management theories and models.
The course does not require an advanced knowledge of statistics, but it is expected that students are familiar with basic statistical methods and concepts.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
5,000-word project report. Feedback will be provided within 3 weeks of submission. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Demonstrate a conceptual understanding of abductive and inductive reasoning and explain their applications in managerial decision making. |
| Factual | Apply | Be able to interpret and utilise the evidence extracted from data analysis reports and digital tools in accordance with the relevant management theories and the nature of the business problem. |
| Procedural | Evaluate | Being able to identify, evaluate and classify business problems, and propose specific solutions to the problems using available data enabled by digitalisation. |
| Reflection | Analyse | Be able to make better decisions using data and analytics. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Resubmission of 5,000-word project report. Feedback will be provided within three weeks after the submission. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Analyse | Be able to make better decisions using data and analytics. |
| Factual | Apply | Be able to interpret and utilise the evidence extracted from data analysis reports and digital tools in accordance with the relevant management theories and the nature of the business problem. |
| Procedural | Evaluate | Being able to identify, evaluate and classify business problems, and propose specific solutions to the problems using available data enabled by digitalisation. |
| Conceptual | Understand | Demonstrate a conceptual understanding of abductive and inductive reasoning and explain their applications in managerial decision making. |
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