Postgraduate taught 

Laboratory Management MSc/PgDip/PgCert: Online distance learning

Data Driven Leadership Skills MGT5422

  • Academic Session: 2021-22
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Full Year
  • Available to Visiting Students: No
  • Available to Erasmus Students: No
  • Taught Wholly by Distance Learning: Yes

Short Description

This course engages with the biggest factor to affect 21st Century leadership, the digital revolution, especially data. Many modern leaders find themselves ill equipped for the volume of data and the speed of digital communication. Most leadership training focuses on 20th Century research and models of behaviour. This specifically fails to help leaders to adapt to the volumes of data they receive in the modern firm. Traditional leadership models influence leaders to attempt sense making and decision making on their own. This course will demonstrate how modern leadership uses agility and power to the edge to gain competitive advantage.


Online course, total workload of 100 hours. Distributed between online exercises, video lectures, participation in the online forum.

Excluded Courses





ILO being assessed

Course Aims

This course aims to:

■ Explain how traditional and modern leadership differ.

■ Demonstrate the effect of organisational structure on leadership styles,

■ Discuss the emergence of agility in leadership practice.

■ Explore the role of data and digitisation in modern leadership.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1. Critically evaluate, with particular reference to digital data, traditional leadership models

2. Distinguish between agile and efficient leadership structures and their relationship to data

3. Analyse the role of data, volume, quality and timeliness, in decision making

4. Analyse and assess leadership narratives and whether they help or hinder modern leaders in a digital age

5. Describe and evaluate the role of collective decision making and agile teams

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.