London South Bank University

UK
3 Scholarships 59 Programs 5 Degree levels
PhD

Production and Manufacturing Engineering

DegreePhD
FieldMEng/PhD (Research)
Duration3 years
Tuition18200.00

Overview

Research in Production and Manufacturing Engineering at London South Bank University (LSBU) focuses on improving how industrial assets are monitored, diagnosed, and maintained. You’ll work with an academic supervisory team and develop research skills in areas such as condition monitoring, fault prognosis, and advanced signal processing.

About this programme

Overview

The Production and Manufacturing Engineering programme at London South Bank University is designed for those seeking to advance their expertise in optimizing industrial processes. This research-led course emphasizes the enhancement of asset monitoring, diagnosis, and maintenance, preparing students to tackle real-world engineering challenges through rigorous academic inquiry and practical application.

What you'll study

Throughout this 36-month programme, you will engage in a variety of research activities under the guidance of an academic supervisory team. The focus areas include:

  • Condition Monitoring: Techniques to assess the health of machinery and equipment.
  • Fault Diagnosis and Prognosis: Methods to identify and predict potential failures in industrial systems.
  • Advanced Signal Processing: Analytical approaches for interpreting data from machinery.
  • Asset Management: Strategies to enhance the reliability and efficiency of manufacturing assets.

Your study will be structured around agreed research milestones rather than a fixed timetable, allowing for flexibility and personalized research development.

Typical components

  • Supervised Research Project: Development and execution of your research proposal and technical work.
  • Research Training: Skills development in research methods, data analysis, and academic communication.
  • Progress Reviews: Regular assessments and meetings to evaluate your progress.
  • Scholarly Outputs: Participation in literature reviews, conferences, and academic writing.
  • Thesis/Final Submission: Completion of a significant original research contribution in your area of focus.

Research Themes (Examples)

  • Machine condition monitoring and reliability improvement
  • Fault diagnosis and prognosis for industrial machinery
  • Signal processing methods for machinery data
  • Asset management strategies to reduce downtime and operating costs

Entry requirements

Applicants are typically expected to hold an upper second-class degree or equivalent in a relevant field. Proficiency in English is also required, with a typical IELTS score of 7.0 for postgraduate studies. An interview with a potential supervisor may be necessary as part of the application process.

Career prospects

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Programme details are indicative and may change — always verify current information with the official university website before applying.