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MSc Nuclear Product Engineering for Power Generation (Level 7)

  • DeadlineStudy Details: Part-time: 2 years

Masters Degree Description

With the UK Government’s Civil Nuclear Roadmap to 2050 targeting the largest expansion of nuclear power in over 70 years, this programme is designed to equip engineers with the critical skills needed to meet the nation's growing demand for low-carbon energy and advanced nuclear capabilities.

We have developed this MSc programme in partnership with Rolls-Royce Submarines and the University of Sheffield. This two-year, part-time programme is specifically tailored to meet the strategic workforce needs of the Product Engineering for Nuclear Sector. You’ll gain advanced knowledge in both design and manufacturing engineering, preparing you to take a lead in developing the next generation of nuclear products.

Entry Requirements

This programme is designed for employees within the Nuclear Engineering sector that are working on product engineering, particularly those that may need to upskill through strategic workforce planning to meet the emerging sector demand. Entry requirements will align with existing industry and academic standards, subject to approval by the programme leader.

You must be employed within an engineering context to complete the Masters. The programme will expect you to use your business context to complete aspects of the assessments. Those working in an engineering role holding a BENg/ BSc in Manufacturing, Mechanical or Materials is preferred. Recognition of prior experience may be considered to access this programme.

Entry requirements will align with existing industry and academic standards, subject to approval by the programme leader.

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Fees

For fees and funding options, please visit website to find out more

Student Destinations

Graduates of this MSc will be equipped to play a leading role in the future of nuclear product development, with enhanced capabilities in:

Understanding of human factors and safety
Product innovation and engineering design
Advanced manufacturing leadership
Data-centric decision making
Digital transformation and smart factories
Nuclear safety and operational excellence

Module Details

Psychology of Safety & Quality
Advanced Materials
Advanced Manufacturing Techniques (Part 1)
Engineering Data Analytics - Artificial Intelligence & Machine Learning
Engineering Product Design & Manufacturing Principles
Advanced Manufacturing Techniques (Part 2)
Digital & Automation During Manufacture
Effective Factories of the Future
Individual Thesis / Final Project

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