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MEng Mechanical Engineering with Manufacturing and Management

University of Bath

Institution
University of Bath
Level
undergraduate
Subject
Mechanical Engineering with Manufacturing and Management
Duration
5 years
UCAS code
T133
Typical offer
A-level A*A*A, IB 36

Entry requirements

A level: A*A*A including A* in Mathematics and A in Physics IB: 36 points overall and 7, 7, 6 in three Higher Level subjects including 6 in Physics and 7 in either HL Mathematics.

About this course

MEng (Hons) in Mechanical Engineering with Manufacturing and Management, a mechanical engineering and robotics engineering degree focusing on industrial production systems and management principles. Core topics include Engineering Design, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. Students complete a professional placement year in industry during their third year. The first year covers core foundations through Design, materials and manufacturing 1, Engineering mathematics, Mechatronics, and Thermofluids 1. The second year progresses with Control and mechatronics, Design, materials and manufacturing 2, and Engineering computation. The fourth year advances into Additive manufacturing technology, Computer integrated manufacturing, Engineering management: developing products and services in industry, and a Group design and business project. The final year concludes with Data analytics and artificial intelligence, Modelling and analysis of manufacturing systems, and an MEng individual project.

Modules

  • Design, materials and manufacturing 1
  • Engineering mathematics
  • Mechatronics
  • Responsible engineering practice
  • Solid mechanics 1
  • Thermofluids 1
  • Control and mechatronics
  • Design, materials and manufacturing 2
  • Engineering computation
  • Solid mechanics 2
  • Thermofluids 2
  • Professional placement
  • Additive manufacturing technology
  • Computer integrated manufacturing
  • Engineering management: developing products and services in industry
  • Group design and business project
  • Whole life value analysis for engineering design and manufacturing
  • Business processes
  • Data analytics and artificial intelligence
  • MEng individual project
  • Modelling and analysis of manufacturing systems
  • Project scoping and research methods