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Engineering (Research)

  • 1 Study option
  • Postgraduate
College Lane Campus
More about University of Hertfordshire

Course options

2025-20262026-2027
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Course summary

This programme deals with complex issues such as managing innovation and multidisciplinary, globally-dispersed teams within the context and infrastructure of the automotive business. Students investigate areas such as technical, business and process concepts; current themes include: the international motor industry; automotive product engineering; enterprise and the environment; the lean enterprise; project management; innovation and technology management.

Ways to study this course

Campuses

  • College Lane Campus

Study options

  • ED • Part-time • 3 Years

Start dates

  • 01/2026
  • 09/2025

Open days

Chat to student ambassadors

Discover what it's like to study Engineering at University of Hertfordshire: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.

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  • Sarah

    University of Hertfordshire
    Education and teaching
    Hi! I’m Sarah, and I’m currently a first year studying Early Childhood Education. I’m hoping to become a nursery teacher in a school based setting in the future. Feel free to reach out if you have any questions, I’d love to meet you! ❤️

  • Tiya

    University of Hertfordshire
    Engineering
    Hi, I'm Tiya! I am a first year Aerospace Engineering Student with a specialisation in Space Technology. I’m happy to share my experiences at Herts with you— whether its about the course structure and teaching faculty, on-campus facilities or social life.Please note, if your question is not about Engineering please reach out to other unibuddies or ask for further help by emailing at ask@herts.ac.uk.Thanks!

  • Eman Abdul

    University of Hertfordshire
    Computer science
    I am an MSc Data Science student with a strong foundation in statistical methods, machine learning, and advanced analytics, complemented by hands-on experience with Python, SQL, and data visualisation tools. With a background in Biomedical Sciences (BSc, First Class Honours) and professional experience in clinical laboratory settings, I thrive at applying data-driven insights to solve complex problems. My passion lies in translating data into actionable insights, and I enjoy working in collaborative environments where I can leverage my analytical and problem-solving skills. As a Student Ambassador and Representative, I actively engage in supporting prospective students by sharing my journey, experiences, and insights into the field of Data Science. I am excited to connect with like-minded individuals who share an interest in data-driven decision-making, healthcare analytics, and AI innovations. Feel free to reach out if you have any questions and I will be happy to assist.

Fees and funding

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