Core Module Information
Module title: Management for Engineers 1

SCQF level: 08:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: MEC08105
Module leader: Neil Shearer
School School of Computing, Engineering and the Built Environment
Subject area group: Engineering and Mathematics
Prerequisites

There are no pre-requisites for this module to be added

Description of module content:

This module introduces engineering management as an integrated discipline that enables engineers to plan, coordinate, and deliver complex technical systems effectively. Management is framed through three interrelated perspectives: Data driven engineering management, Project and programme management, and Standards based and professional engineering management. Students develop an understanding of how engineers manage information, people, processes, and compliance across the engineering lifecycle. Emphasis is placed on practical decision making, digital tools, teamwork, and professional responsibility within contemporary engineering organisations. The module prepares students to transition from purely technical roles to roles requiring managerial judgement, coordination, and leadership.

Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Apply data analysis and project management tools to support data handling, planning and decision making in defined engineering contexts.

LO2: Demonstrate an understanding of relevant engineering standards, quality, safety, and ethical considerations in management activities.

LO3: Explain the role of management in engineering practice, including data driven decision making, project management, and standards based professional responsibilities.

LO4: Communicate and work effectively as part of a team to complete structured engineering management tasks using appropriate digital tools.

Full Details of Teaching and Assessment
2026/7, Trimester 1, In Person,
VIEW FULL DETAILS
Occurrence: 002
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Neil Shearer
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Online GROUPIND_STUDY 32 In your group you will work together on the submission for the final assessment poster and oral presentation. You are expected to meet weekly outside of class.
Online Guided independent study 124 A learning approach where students take responsibility for their own learning process, with support and direction from academics through tutorials and research assessments. This method combines the independence of self-directed study with the guidance of a structured framework provided by academic staff.
Face To Face Practical classes and workshops 20 Lecture and practical work on PC in data management tools including Python processes. Workshops using software such as Excel and MS Project.
Face To Face Demonstration 4 Poster presentations by each group
Face To Face Lecture 10 An introduction to the module with elements of Q&A and class discussion. One lecture will be delivered by an industry expert to provide knowledge on business planning.
Face To Face Tutorial 10 Tutorial sessions : discussions, Q&A, reviewing weekly group progress and work schedules
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Poster 40 2~3~4 Week 11 , WORDS= 1000 words Students are expected to produce an A2 sized digital poster which presents information based on a case study.This aspect is group focused and will be presented by the group.
Report 20 4 Week 13 , WORDS= 1000 words Each student has to prepare a report on how they approached and contributed to the groupwork assessments including group & individual project planning schedules.
Report 40 1~3 Week 12 , WORDS= 12 pages Use Python libraries such as Matplotlib and Pandas for visualising and analysing data using statistical methods. Prepare a report explaining the methods and discussing the results, including code snippets of important parts.
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
MEC08105 & MEC08905 Management for Engineers