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Module

CEG8012 : Construction Project Management and Digital Engineering

  • Offered for Year: 2026/27
  • Module Leader(s): Professor Mohamad Kassem
  • Lecturer: Dr Craig Robson
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System

Aims

This module aims to equip students with the knowledge and skills required to manage construction projects across their full lifecycle, from early feasibility and planning through delivery, handover, and operation. It treats construction project management as a structured yet context-dependent decision-making discipline, integrating qualitative and quantitative approaches to feasibility, risk, and stakeholder management with project planning, monitoring, and control. The module integrates digital engineering analytics by enabling students to use data, digital models, and programming-based analytical tools to represent and analyse the built environment, interrogate project and engineering datasets, and support evidence-based planning, coordination, performance evaluation, and decision-making.

Outline Of Syllabus

The following syllabus outline is a guide only. Actual topics may slightly differ:
•Construction project lifecycle and project feasibility and appraisal studies (financial & economic)
•Project risk, uncertainty, and value management
•Stakeholder management, collaboration, and communication in projects
•Project planning, monitoring and control, including the use of digital data to support performance management
•Procurement strategies, cost estimating, bidding, and contractor selection
•Managing project and asset information in the digital age, including data standards, interoperability, and information flows across the lifecycle
•Digital representation of the built and urban environment, including GIS-based modelling and spatial data
•Data modelling concepts and the structuring of engineering and project datasets
•Data analytics and data-science methods for construction and civil engineering, including the use of Python for analysis
•Digital data visualisation and communication of analytical insights for project decision-making
•Application of digital tools and analytical approaches in contemporary construction and civil engineering practice
•Emerging themes in project management and digital transformation, including the evolving role of data, automation, and decision support.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials116:0016:00Review of recorded lecture, and uploaded materials (briefs for seminars and practicals)
Guided Independent StudyAssessment preparation and completion110:0010:00Research and preparation for presentation
Scheduled Learning And Teaching ActivitiesLecture161:0016:00Lecture presentation and supporting documentation
Guided Independent StudyAssessment preparation and completion145:0045:00Exam
Guided Independent StudyAssessment preparation and completion145:0045:00Report
Guided Independent StudyDirected research and reading140:0040:00Structured research and reading activities to support learning and assessment
Scheduled Learning And Teaching ActivitiesPractical18:008:00A day-long practical involving a real-world project in a simulated environment
Scheduled Learning And Teaching ActivitiesPractical53:0015:00Practicals giving hand-on experience of working with digital tools for engineering and analytics
Scheduled Learning And Teaching ActivitiesSmall group teaching51:005:00Expert speakers on project management and use of digital innovation
Total200:00
Jointly Taught With
Code Title
ENG8046Project Management and Digital Engineering
Teaching Rationale And Relationship

Knowledge-based learning outcomes are primarily delivered through lectures and seminars, which introduce core construction project management principles alongside digital engineering and data-driven concepts, including emerging technologies. These sessions are supported by structured learning materials to underpin independent study.

Skills-based learning outcomes are developed through computer-based practical sessions and a gamified project management simulation. Practical sessions enable students to apply digital tools and analytical methods to realistic engineering scenarios, while the simulation provides experiential learning within an authentic project context, exposing students to uncertainty, stakeholder dynamics, and project trade-offs.
Together, these methods support the integration of project management judgement and digital analytics, and the development of analytical, collaborative, and reflective capabilities aligned with the module learning outcomes.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination901M50In-class closed book examination testing the learning outcome linked to the construction and project management part of the module
Exam Pairings
Module Code Module Title Semester Comment
Project Management and Digital Engineering1N/A
Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M50Data analysis report with limit of 3000 words assessing use of digital tools to undertake critical data analysis and problem solving.
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Oral Presentation1Mtutorial/discussion/authentic workshop style event within the block module period.
Assessment Rationale And Relationship

The in-class, closed-book written examination assesses learning outcomes related to construction project management, with emphasis on critical understanding and applied judgement across feasibility appraisal, procurement strategies, risk and stakeholder management, and planning and control. Scenario-based questions require students to interpret project contexts, justify decisions, and critically evaluate alternatives.
The written report is used to assess the digital engineering analytics component, allowing students to demonstrate structured analysis, use of digital tools, and critical evaluation of data-driven approaches through appropriate use of diagrams, tables, and visual outputs.

The oral presentation, delivered through a tutorial, discussion, or authentic workshop-style activity, assesses integrative learning outcomes related to professional communication and critical reflection. It enables students to articulate and defend project and digital decisions, respond to questioning, and demonstrate reflective insight appropriate to advanced professional practice.

Reading Lists

Timetable