The University of Sheffield
Prospective Postgraduates

MSc(Eng) Computer Vision Engineering

Francis Ryder, postgraduate in the Department of Electornic and Electrical Engineering

Key facts

  • Department of Electronic and Electrical Engineering - Faculty of Engineering
  • 1 year full-time

Fees and funding

Financial information for postgraduate taught courses

Entry requirements

At least a 2:1 honours degree in electronic engineering, computer science or a similar field from a good UK university or an equivalent international degree qualification. If you have a 2:2 or equivalent, or industrial experience, we’ll give your application individual consideration.

English language requirements: overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.

Entry requirements for international students

Any questions?

If you'd like to know more about any aspect of our courses, contact us:

E: infoeee@sheffield.ac.uk
T: +44 (0)114 222 5355

Apply now

About the course

Deepen your understanding and increase your awareness of the latest developments in computer vision engineering. You'll be ready for further academic study or for employment in industry research and development.

Core modules

  • Visual Information Engineering
  • Computational Vision
  • Video Processing and Analysis
  • Machine Learning Foundations
  • Systems Architecture Design
  • Selected Topics in Computer Vision Engineering
  • Research Techniques and Thesis Preparation
  • Individual Project

Optional modules

  • 3D Computer Graphics or Object-Oriented Programming and Software Design
  • Foundations of Object-Oriented Programming
  • Information Storage and Retrieval Research
  • Bio-photonics and Bio-imaging: brain imaging

Teaching

  • Lectures
  • Laboratories
  • Seminars
  • Tutorials
  • Coursework exercises

Assessment

  • Examinations
  • Coursework assessments
  • A project dissertation with oral examination

Research project

You'll be allocated a project in January, and take a module to prepare a background study and identify resource requirements in the second semester. At the end of this module, you'll produce an interim report discussing your work and your project plans for the summer semester.

Your project will focus on a research aspect of computer vision engineering, and will involve state-of-the-art technologies and applications. You'll work full-time on your project in the summer semester, from mid-June to the end of August, supported by your personal academic supervisor.

Our graduates are in demand

Many go to work in industry as engineers for large national and international companies, including Rolls-Royce, Vodafone and Intel. Others continue to a research degree and an academic career.

Real-world applications

This is a research environment. What we teach is based on the latest ideas. The work you do on your course is directly connected to real-world applications.

We work with government research laboratories, industrial companies and other prestigious universities. Significant funding from UK research councils, the European Union and industry means you have access to the best facilities.

First-class facilities

Our state-of-the-art semiconductor growth and processing equipment is housed in an extensive clean room complex as part of the EPSRC’s National Centre for III-V Technologies.

Semiconductor Materials and Devices

  • Laser photodetectors and transistor design
  • A high-tech field-emission gun transmission electron microscope (FEGTEM)
  • A focused ion beam (FIB) milling facility
  • Electron beam lithographic equipment

Electrical Machines and Drives

  • Specialist facilities for the design and manufacture of electromagnetic machines
  • Dynamometer test cells
  • A high-speed motor test pit
  • Environmental test chambers
  • Electronic packaging and EMC testing facilities
  • Rolls Royce University Technology Centre for Advanced Electrical Machines and Drives

Communications

  • Advanced anechoic chambers for antenna design and materials characterisation
  • Outdoor free-field range facility at the Buxton site
  • A lab for calibrated RF dosimetry of tissue to assess pathogenic effects of electromagnetic radiation from mobile phones
  • Extensive CAD electromagnetic analysis tools

Vision and Information Engineering

  • Wide ranging area of 'information' from numerically generated holograms for lithographic applications to image processing, computer vision, and machine learning.

Apply now

You can apply for postgraduate study using our Postgraduate Online Application Form. It is a quick and easy process.

Postgraduate Online Application Form