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EE52038: Professional placement

[Page last updated: 16 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 60 [equivalent to 120 CATS credits]
Notional Study Hours: 1,200
Level: Masters UG & PG (FHEQ level 7)
Period:
Dissertation Period
Assessment Summary: CWPF 100%
Assessment Detail:
  • Professional practice portfolio (pass/fail) (CWPF 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Critically reflect on your placement experience to evaluate your personal and professional development and the links between theory and practice.
Demonstrate the development of personal and professional skills, typically including communication skills, time management, problem solving and analytical skills, decision-making skills, leadership and team-working skills.
Identify and propose solutions to industry-relevant problems


Synopsis: Advance your personal and professional skills by working in an industrial or another setting relevant to the MSc. In your placement you will have the opportunity to use knowledge and skills gained through the taught part of the course to work with different stakeholders, such as clients, the public, and other industry professionals.

Aims: Advance your personal and professional skills by working in an industrial or another setting relevant to the MSc. In your placement you will have the opportunity to use knowledge and skills gained through the taught part of the course to work with different stakeholders, such as clients, the public, and other industry professionals.

Skills: The placement will develop employability skills and provide an opportunity to apply knowledge and skills from the course.

Content: The placement period normally consists of a minimum of 24 weeks completed in industry, in the UK or abroad, in a sector relevant to the MSc (see QA6. 4.4). The placement period should incorporate regular critical self- evaluation and employer evaluation to enhance practice and identify new learning needs.

Course availability:

EE52038 is a Must Pass Unit on the following courses:

Department of Electronic & Electrical Engineering
  • TEEE-AWM22 : MSc Artificial Intelligence for Engineering and Design

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.