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About the course
About the course
The Analysis Modelling and Simulation CPD course offers a comprehensive introduction to the foundational principles, methodologies, and emerging technologies shaping the landscape of Modelling and Simulation (M&S) in Defence contexts.
Divided into distinct sections, the course delves into key areas including the fundamental roles and applications of AMS, ethical and regulatory frameworks, methodology selection and adaptation with a focus on: Live Virtual and Constructive (LVC), AI and Digital Twins, the design and management of simulation models using a systems approach, and the exploration of various simulation technologies alongside hands-on exercises implementing AI techniques. Furthermore, the course delves into the future of M&S in Defence, emphasising long-term impact considerations.
Through a blend of theoretical discussions, practical workshops, and interactive sessions, participants gain invaluable insights and knowledge essential for effective decision-making, analysis, and training within Defence contexts. An online platform will provide suitable material such as lectures, literature, tasks and collaborative forums offering a peer-to-peer learning environment, and the ability to communicate with academic supervisors and industry mentors.
This training is offered as credit-bearing module or as a non-credit-rated short course. The 20 credit-rated CPD module requires learners to complete assessments and can be counted towards the postgraduate Advanced Practice Open Award. The non-credit-rated short course leads to a certificate of attendance only.
Dates
Dates
Delivery dates: Dates available upon request - email Karl Kjelstrup-Johnson (DASOBU Director) kkjelstrup-johnson@brookes.ac.uk.
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Application deadlines: tbc
Non-credit-rated short course: 5 days comprising 3 days in-person and 2 days online.
Credit-rated course: 12 weeks, comprising 5 days hybrid and 11 weeks online/ self-paced (0.5 - 1 day a week).
Course cost
Course cost
Non-credit-rated course: £1050*
Credit-rated course is £1,800*
Course Content
Course Content
5-day short course, hybrid delivery. Applicable to both the non-credit-rated and credit-rated course.
Orientation: Introduction to Fundamentals of Analysis, Modelling and Simulation [AMS] in Defence. Introducing the fundamental concepts of Modelling and Simulation (M&S), its importance in Defence decision making, training and analysis. Understanding its definitions, standards, roles and applications
Analysis: Methodologies behind M&S and insights into emerging technologies. Dive into the methodologies behind M&S, such as experimental design and analysis, and gain insights into emerging technologies such as AI and Digital Twins.
Modelling: Design and Management of Simulation Models. Focus on the design and management of simulation models, including the development of AI models and Digital Twins.
Simulation: Exploring Simulation Technologies and Applications in Defence. Exploring live, constructive, and virtual simulation technologies and their applications in Defence. Engage in hands-on simulation exercises implementing AI techniques.
Evaluation: The Future of M&S in Defence and Ethical Considerations. Discuss the Future of M&S and its significance and the ethical considerations in Defence. Recap of key concepts, open discussion, and feedback session.
In addition to the 5-day short course, those registered on the 12-week credit-rated CPD course will also complete:
In-depth study: In-depth study in response to a synthetic hybrid scenario requiring Experimental Design, including sampling and ethical considerations, methodology and analysis of statistical data (Inference, ANOVA and Regression), ML. Definition, Execution, Analysis, Present and Critical assessment of simulation-based experimentation and trials reports.
Weekly online delivery Supervision Sessions: Flipped classroom format, weekly touch base with assigned supervisor. The participants will have access to an online platform which will provide suitable material such as lectures, literature, tasks and collaborative forums offering a peer-to-peer learning environment, and the ability to communicate between participants and with academic supervisors and industry mentors. Participants will be required to respond to tasks directly on the platform, allowing for continued assessment and progress analysis, offering clear visibility into the performance of each participant at key junctures through the course.
Final Assessment: The final assessment comprises of a Final presentation and report where participants will design, execute and critically assess a simulation-based experiment, incorporating lessons from the entire course. This exercise will test their ability to apply M&S principles, conduct statistical analysis and present their findings effectively.
Benefits (the SO what):
Benefits (the SO what):
Future-Oriented Skill Development: Learners gain exposure to AI-driven simulation techniques and digital twin architectures, to increase accuracy and speed of decision making through Human-Machine Teaming
Interdisciplinary Integration: The course offers insights into how to link data analytics and simulation environments, reinforcing systems thinking and computational modelling.
Operational Readiness: Trainees develop competencies in simulating complex, dynamic systems using AI-enhanced methods essential for roles such as cyber operations, logistics planning and systems engineering.
Application (the FOR what):
Defence and National Security: As highlighted in the Strategic Defence Review 2025, modernising Defence capabilities includes the implementation of AI technologies to improve readiness, resilience and decision-making capacity.
Digital Transformation of Industry: Digital twins are used across critical sectors (e.g., aerospace, energy, Defence) to optimise, predict and simulate mission scenarios, making course content immediately applicable.
Policy and Planning Impact: The integration of AI and digital models supports rapid, evidence-based scenario planning (key for supporting governmental and military decisions in hybrid warfare and homeland Defence contexts).
Contact us
Contact us
If you have any enquiries about the course, please email us at hst-cpdadmissions@brookes.ac.uk
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*Cancellation policy
*Cancellation policy
If you cancel on or before the application deadline, you will receive a 50% refund. Cancellations made after this date are not eligible for a refund.
If the course is cancelled by Oxford Brookes University, all registered participants will get a full refund.
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