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We have 273 Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK



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Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK

We have 273 Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK

A PhD in Data Science will help you gain expertise in the areas of data collection, storage, cleaning and analysis. You can also focus on areas such as predictive modelling and collaboration with other fields to extract value from the data.

What's it like to do a PhD in Data Science?

Data Science is a field that is constantly evolving. The quantity of data produced every day is increasing and so is the need for professionals who can help make sense of it. A PhD in Data Science will help you do just that. You will be researching into a particular problem in Data Science or developing new techniques to handle data.

Some popular research topics in Data Science include:

  • Machine learning
  • Computer vision
  • Natural language processing
  • Text mining
  • Cyber security

Your research might involve writing a thesis or producing a portfolio of academic publications. You will be advised to read certain amount of material during your PhD. You will also be required to complete a compulsory research training module during your first year.

To be able to complete a PhD in Data Science, you will need to work under the guidance of a supervisor who will help you with your research and provide guidance on writing your thesis.

A PhD in Data Science takes between 3-4 years to complete. If you are doing a PhD that entails writing a thesis, you will also have to submit an 80,000-word thesis at the end of your programme.

Entry requirements

In most countries, entry requirements for a PhD in Data Science will involve having a Bachelors and a Masters degree in a related subject. You might also be asked to show proficiency in the language of instruction in your programme.

You might also need some professional experience in Data Science.

PhD in Data Science funding options

In the UK, a PhD in Data Science will most likely have funding attached to it. This means you could have a full tuition fee waiver and a monthly living cost stipend. If you are applying for a PhD that has funding attached, you will automatically be considered for funding if your application is successful.

PhD in Data Science careers

Data Science is a constantly growing field with a lot of opportunities in sectors such as finance, technology and medicine. You can also find opportunities in teaching and research. If you want to continue your career as a data scientist, you can find opportunities in sectors like business intelligence or predictive modelling.

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Human Inspired Video Recognition using top down and bottom-up features

How does the human brain understand people's activities in a scene much better than existing computer systems? It is proposed that humans combine prior knowledge of people and objects in the scene with sensory information (e.g., colour or motion) to understand complex activities even if they are similar actions (e.g., hugging vs fighting). Read more

System science-based design of innovative nonlinear seat-suspension systems for off-road vehicles

Suppressing vibrations from off-road construction and agricultural vehicles will significantly reduce the risk of musculoskeletal disorders caused by long-term Whole Body Vibration (WBV) exposure to drivers. Read more

Optimum agent-based modelling with impact to engineering practice

  Research Group: School of Civil Engineering
Why people move the way they do when crossing a bridge? Why they evacuate (e.g., in a fire or earthquake scenario) buildings creating certain outflow patterns?… Read more

Data Stream Learning Under Uncertainty

The PhD project topic is to study and develop probabilistic and quantile loss approaches for learning from data streams and making short-term predictions under uncertainty, as well as using these predictions for risk-aware decision support and control optimization. Read more

Towards Machine Understanding of Human Languages: AI for Storytelling Across Languages and Cultures

In the realm of AI and computer science, disciplines such as Natural Language Processing (NLP), Human-Computer Interaction (HCI), and AI-centric Language Models are critical for fostering communication and collaboration between humans and machines in the future. Read more

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