7B019E - Projects and Operations with Data-Driven Decision Making 01 Sep 2027 - 31 Aug 2033 | Version 1

Associated Module Information

Module Code: 7B019E
Module Title: Projects and Operations with Data-Driven Decision Making
Faculty: Faculty of Business and Creative Industries
Faculty Group: Operations and Management
Faculty Sub Group: Operations and Management
Module Leader: Natalie Shawley
Module Team: Sriram Chinnadurai, Luke Evans, Amy Nguyen
First Intended Intake: SEP 2027 Final Year of Intake:
Date Closed:
Credit Value: 30 Credit Level: 7
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100078 - business and management 100093 - logistics
HECOS Code Weighting: 50 50

Document Version Information

Version 1
Valid From 01 Sep 2027
Valid To 31 Aug 2033

Module Aims

The main aims of the module are:

Aim 1
To develop students with advanced knowledge and critical understanding of operations management and project management in a digital context, enabling them to analyse, transform, and design future state operational systems in response to complex industry challenges.

Aim 2
To enable students to integrate operations management and project management practices, using digital tools and advanced analytical techniques to plan, justify, and manage strategically aligned projects at organisational level.

Content Summary

This module provides an advanced, integrated examination of Operations Management and Project Management within the context of digital transformation and contemporary organisational complexity, underpinned by a challenge-based curriculum. The module equips students with a critical and systematic understanding of how organisations analyse, design and transform operational systems while delivering strategically aligned projects in uncertain, technology-enabled environments. Learning is structured around real-world, industry-informed challenges that require students to engage with authentic operational and project constraints and propose evidence-based solutions.

The operations management element develops advanced insight into contemporary challenges arising from digitalisation, data-driven decision making, sustainability pressures and operations transformation. Through challenge-based problem contexts, students critically evaluate operational performance using advanced analytical and quality management tools to diagnose systemic weaknesses and define robust future-state operational strategies. Emphasis is placed on strategic alignment, process integration and the informed application of improvement methodologies in complex organisational settings.

The project management component focuses on the disciplined planning and justification of transformational initiatives required to implement operational change. Students address practical challenges related to project structuring, scheduling and critical path analysis, costing, quality planning and managerial decision making, supported by appropriate digital tools and models. The challenge-based approach promotes critical judgement, the evaluation of competing alternatives, and the management of risk and uncertainty at organisational level.

Assessment is delivered through an Integrated Operations Management and Project Planning Portfolio, requiring students to synthesise theory and practice in response to a complex, open-ended challenge. Successful completion evidences the achievement of Level 7 outcomes, including originality, critical evaluation, and the ability to justify strategically significant decisions in unpredictable professional contexts.

Learning and Teaching Methods

Activity Type Hours
Lecture 12
Workshops 44
Guided Study (includes10.5 hrs digital guided learning) 44
Groupwork 20
Independent Study 90
Formative Assessment 30
Summative Assessment 60
Total Hours Selected 300

Learning Outcomes

# Learning Outcome
LO1 Learning outcome 1 – Advanced Operations & Strategic Insight Critically evaluate contemporary operations management challenges in a digital age, applying appropriate analytical and quality management tools to define a robust, evidence based future state operational strategy aligned with organisational objectives and competitive priorities.
LO2 Learning outcome 2 – Integrated Project Planning & Decision Making Design and justify a comprehensive, digitally enabled project plan by integrating scheduling, costing, quality, and decision-making techniques to support the implementation of operational transformation

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Report 1 Asynchronous Report 0 3000 50 No 40
Asynchronous Assessment Report 2 Asynchronous Report 0 3000 50 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Report 1 ✔ ✔
Report 2 ✔ ✔

Reading List

A. Core Operations and Project Management Texts

1.     Slack, N., Brandon-Jones, A. & Burgess, N. (2022). Operations Management (10th ed.). Pearson.

2.     Meredith, J.R., Shafer, S.M. & Mantel, S.J. (2020). Project Management: A Strategic Managerial Approach (10th ed.). Wiley.

3.     Hill, A. & Hill, T. (2024). Operations Management (5th ed.). Palgrave Macmillan.

4.     Kerzner, H. (2022). Project Management: A Systems Approach to Planning, Scheduling, and Controlling (13th ed.). Wiley.

B. Strategy, Integration, and Decision Making

5.     Turner, J.R. (2014). The Handbook of Project-Based Management (4th ed.). McGraw-Hill.

6.     Porter, M.E. (2008). Competitive Advantage. Free Press.

7.     Too, E.G. & Weaver, P. (2014). The management of project management. International Journal of Project Management.

C. Digital Transformation and Advanced Operations

8.     Vial, G. (2019). Understanding digital transformation. Springer.

9.     Bharadwaj, A. et al. (2013). Digital business strategy. MIS Quarterly.

10.  Srai, J.S. & Lorentz, H. (2019). Developing design principles for the digitalisation of purchasing and supply management. CUP.

D. Quality and Continuous Improvement

11.  Oakland, J.S. (2014). Total Quality Management and Operational Excellence (4th ed.). Routledge.

12.  George, M.L. (2003). Lean Six Sigma for Service. McGraw-Hill.

13.  Harry, M. & Schroeder, R. (2006). Six Sigma. Currency.

E. Financial and Project Evaluation

14.  Boardman, A.E. et al. (2018). Cost-Benefit Analysis: Concepts and Practice (5th ed.). Cambridge University Press.

15.  Flyvbjerg, B. (2023). How Big Things Get Done. Penguin Business.

 

Academic Papers

1.     Slack, N. & Lewis, M. (2017). Operations strategy. International Journal of Operations & Production Management.

2.     Flyvbjerg, B. (2014). What You Should Know About Megaprojects. Project Management Journal.

3.     Turner, J.R. (2014). The Handbook of Project-Based Management. International Journal of Project Management.

4.     Srai, J.S., et al. (2016). Strategic operations issues in global supply networks. Cambridge Journal of Regions, Economy and Society.

5.     Davies, G., Dodgson, M., et al. (2016). Systems integration for digital transformation. Industrial and Corporate Change.

6.     Maylor, H., Turner, N., et al. (2018). Complexity, risk and uncertainty in projects. International Journal of Operations & Production Management.

7.     Müller, R. & Lecoeuvre, L. (2014). Operationalising strategy through projects. International Journal of Project Management.

8.     Hughes, D., et al. (2016). Digital transformation: UK organisational perspectives. Journal of Strategic Information Systems.

9.     Oakland, J.S. & Tanner, S. (2007). Achieving business excellence in the UK. Total Quality Management & Business Excellence.

10.  Whyte, J., Stasis, A. & Lindkvist, C. (2016). Managing change in digital construction projects. Construction Management and Economics.

11.  Davies, G., Dodgson, M., & Whyte, J. (2022). The dynamics of digital transformation: Strategic integration in complex organisations.
Industrial and Corporate Change, 31(3), 703–726.

12.     Struijk, D., Srai, J.S., & Christodoulou, P. (2022). Digital transformation as an ongoing operational capability.
 Journal of Operations Management, 68(6), 548–565.

13.     Chen, M., Martins, T.S., Zhang, L., & Dong, H. (2025). Digital transformation in project management: A systematic review and research agenda.
 Systems, 13(8), 625.
 (University of Manchester; University of Southampton) [mdpi.com]

14.     Chavez, R., Yu, W., Jacobs, M.A., & Feng, M. (2024). Digital-enabled operations strategy and performance.
15. International Journal of Operations & Production Management, 44(1), 45–72.

16.     Whyte, J. & Schweber, L. (2023). Project governance in digital infrastructure delivery.
 International Journal of Project Management, 41(5), 1025–1039.

17.     Maylor, H., Turner, N., & Murray-Webster, R. (2022). Managing uncertainty and complexity in digital projects.
 International Journal of Project Management, 40(6), 502–516.

18.     Müller, R., Drouin, N., & Sankaran, S. (2022). Organisational project management and strategy execution.
 Project Management Journal, 53(4), 367–381.

19.     Wendell, R.E., Lowe, T.J., & Gordon, M.M. (2023). Dangers in using earned duration and earned value metrics to measure schedule performance.
 Central European Journal of Operations Research, 31, 665–680. [link.springer.com]

20.     Elsaid, M., Nassar, K., & Abotaleb, I. (2025). Comparative analysis of earned value management techniques in construction projects.
 Scientific Reports, 15, 23606. [nature.com]

21.  Dacre, N., Baxter, D., Dong, H., & Al-Mhdawi, M.K.S. (2025). Digital transformation and the AI imperative in public and private sector projects.
 Association for Project Management (APM) Research Report, UK. [apm.org.uk]