MSc Advanced Manufacturing and Automation

Year 1

(Award available for year: Master of Science)

Learning outcomes

Subject Specific Learning Outcomes

1. Demonstrate a comprehensive understanding of the core scientific and technical principles underpinning modern manufacturing and assembly processes.

2. Critically evaluate and apply digital manufacturing technologies including intelligent automation systems, additive manufacturing and digital twins to solve complex engineering problems.

3. Design and optimise manufacturing processes using industry standard software tools for computer aided design, computational modelling and dimensional metrology.



Skills Learning Outcomes

1. Execute comprehensive independent research and project management from planning and risk assessment to implementation and critical analysis.

2. Work effectively within multidisciplinary teams to develop sustainable engineering solutions considering the full product lifecycle, cost implications and regulatory requirements.

3. Communicate complex technical concepts and research findings clearly and professionally through technical reports, presentations and collaborative group work.



Competence Standards

1. Apply advanced mechanical engineering knowledge to the solution of complex and unpredictable manufacturing challenges in the Industry 4.0 landscape.

2. Select and apply appropriate computational and analytical techniques to model, simulate and optimise modern manufacturing systems.

3. Formulate sustainable and innovative designs for products and processes taking into account commercial, environmental and societal impacts.

4. Plan and execute practical investigations safely within advanced manufacturing workshops, rapid prototyping facilities and metrology laboratories.

5. Demonstrate professional leadership skills by managing multidisciplinary projects, mitigating risks and applying quality assurance principles.

6. Actively engage in continuing professional development and adapt to rapidly evolving technologies and global manufacturing trends.



Approach to assessment

Assessment utilizes a variety of inclusive methods to evaluate both theoretical knowledge and practical skills:

1. Formative feedback: Regular peer review and guided marking provide opportunities to continuously improve performance.

2. Written examinations: Held at the end of each semester to test fundamental technical and theoretical understanding.

3. Coursework: Software assignments, technical presentations, and detailed reports are used to develop professional practice skills.

4. Professional Project: A final thesis comprehensively assesses independent research, problem-solving, and the ability to synthesise complex engineering knowledge.

Assessment

Methods of assessment
The assessment details for this module will be provided at the start of the academic year

Errors, omissions, failed links etc should be notified to the Catalogue Team