Data Driven Leadership Skills for Practitioners MGT5465

  • Academic Session: 2024-25
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Taught Wholly by Distance Learning: Yes
  • Collaborative Online International Learning: No

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.

Timetable

This course is made up of asynchronous online sessions. The student is anticipated to engage in approximately 100 notional learning hours. Each session consists of a combination of recorded lectures, online exercises, and participation in the online forum.

Requirements of Entry

Please refer to the current postgraduate prospectus at: http://www.gla.ac.uk/postgraduate/

Excluded Courses

None

Co-requisites

None

Assessment

ILO being assessed

Course Aims

This course aims to explore the role of data and digitisation in modern leadership, the emergence of agility in leadership practice, and the effect of organisational structure on leadership styles.

Intended Learning Outcomes of Course

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

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

2. Critically evaluate leadership narratives and whether they help or hinder modern leaders in a digital age.

3. Illustrate 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.