Machine Learning

Masters by Research Digital Media Processing and Biometrics

University of Hertfordshire

Computer Science, Computer Engineering, or Maths

Location
Hatfield, United Kingdom
Funding
See university guidance
Application deadline
See university guidance

What type of applicant are you?

  • What type of applicant are you?: UK International

Sign up for Clearing VIP Access

Skip the queues on results day with an exclusive priority Clearing hotline number .

Sign up for updates

Interested in studying at the University of Hertfordshire and want to sign up to our mailing list to learn more about our facilities, living in the UK and student life? Use the form below and our team will also keep you informed of key updates such as events near you, applications opening and more!

Masters by Research Digital Media Processing and Biometrics

Location | University of Hertfordshire, Hatfield

  • Key information Location University of Hertfordshire, Hatfield
  • University of Hertfordshire, Hatfield
  • Entry requirements Applicants must have a good first degree (1 st Class or 2.1) in Electrical and Electronic Engineering, Computer Science, Computer Engineering, or Maths. Fluent English.

About the course

To conduct research and make original contributions to the advancement of knowledge in the following areas.

Virtual Reality, Robotics and Telemedicine. The research focus is on developing innovative visual interfaces for tele-exploration and tele-operation capable of providing users with an increased sense of presence through greater involvement of human sensors and consistency of information presentation.

Main subjects of investigation include: 3D Vision and S3D Visualization, Virtual and Augmented Reality, Haptic Feedback and Visual-Touch Coordination, Graphically Integrated Visual Aids, Visual Realism and Usability Studies in VR, Human-Computer Interaction, Telerobotics and Mobile Robot Navigation, Immersive Tele-Health and 3D Endoscopy, Smart Systems and Telepresence, Computer Graphics and Serious Games.

  • Machine Learning, in particular Deep Learning for data mining and knowledge discovery
  • Computer Vision technologies for object detection, recognition and tracking
  • Biometrics (Face, Voice, and Multimodality) for forensics and security, Automatic Number Plate Recognition (ANPR), Big Data Architectures for Biometrics and Security
  • De-identification for privacy protection
  • Generative Adversarial Synthesis for attribute controlled image adaption, automatic text/image caption generation
  • Speech Technology for speech recognition and spoken human-machine interaction
  • Language Technology, including natural language processing and text mining
  • Processing and Analysis of biomedical signals (brain, heart, muscles and body motions)
  • Digital Media Processing including Content Based Multi-Media Retrieval, Big Data Architectures for Efficient Information Processing, Data (Multi-media) Analytics
  • Computer Vision, Soft Computing (Fuzzy Logic, Neural Networks, Genetic Algorithms,), Deep Learning and Information Fusion for Decision Making
  • Intelligent Transportation Systems (ITS) including Advanced Driver Assisted Systems (ADAS, information fusion from real time sensor data, adaptive vehicle design

Teaching methods

Each student will be assigned a Principal and a second supervisor who are experts in the research topic. The research will be conducted in our labs which are well-equipped for research in the topics of our expertise. The research is conducted over a 12-month period Full-Time or 24 months Part-time. Research students submit for their registration assessment which is conducted in the form of a formal viva 3 months and 6 months respectively after their enrolment. For the final assessment, students are expected to submit their thesis and to be examined also in the form of a viva by an external and an internal examiner.

What’s next for my career?

Our MSc by Research programmes enable students to develop specialist research skills and knowledge. We aim to provide research projects that will challenge and in some cases even inspire our students. If you are self-motivated and want to improve your ability to understand and solve engineering problems, then an MSc by Research PhD with us may be right for you.

2026

Start Date | End Date | Year | Location | Link

01/11/2026 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/12/2026 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/01/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/02/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/03/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/04/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/05/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/06/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/07/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/11/2026 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/12/2026 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/01/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/02/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/03/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/04/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/05/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/06/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/07/2027 | 31/07/2027 | 1 | UH Hatfield Campus | Apply online (Part Time)

2027

Start Date | End Date | Year | Location | Link

01/08/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/09/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/10/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/11/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/12/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/01/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/02/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/03/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/04/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/05/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/06/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/07/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Full Time)

01/08/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/09/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/10/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/11/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/12/2027 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/01/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/02/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/03/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/04/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/05/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/06/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

01/07/2028 | 31/07/2028 | 1 | UH Hatfield Campus | Apply online (Part Time)

Course fees

  • Research degree fees for UK and EU students
  • Research degree fees for international students

Research areas

Machine LearningMachine learningComputer VisionSynthesisLanguage

Related PhD opportunities

PhD Machine Learning

Queen's University Belfast

Queen's University Belfast

This project is a 4-year PhD project with enhanced training and 3+ month placement, which is funded by UKRI BBSRC through the NI Landscape…

Location
Belfast, United Kingdom
Deadline
See university guidance
Funding
UKRI BBSRC
PhD Machine Learning

Bayesian tree based models and applications

University of Leeds

We are looking for strong candidates to work on this exciting project described below!<br /> <br /> Bayesian classification and regression…

Location
Leeds, United Kingdom
Deadline
Funding
Non-funded
PhD Machine Learning

Queen's University Belfast

Queen's University Belfast

Heusler alloys have long been proposed as the building blocks of spintronic devices due to the possibility to "select" their properties…

Location
Belfast, United Kingdom
Deadline
See university guidance
Funding
EPS DTP Enhanced Postgraduate Skills Doctoral Training Programme; £21,805 per annum + £5,000 top-up; Home studentships only - cover tuition fees