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We have 12 Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Liverpool



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Liverpool  United Kingdom



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Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Liverpool

We have 12 Data Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Liverpool

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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Machine Learning of Behavioural Models for Improved Multi-Sensor Fusion (Distributed Algorithms CDT)

Are you interested in AI, data science and machine learning? Do you want to develop next generation tools that can solve tough challenges and make the world a safer, more resilient place? This PhD project is part of the. Read more

Understanding glacier dynamic change and iceberg risk evolution in Greenland

Project summary. Greenland’s marine terminating glaciers are undergoing rapid change, though how this impacts iceberg risks to settlements and current/future social and economic activities in fjords is currently poorly understood. Read more
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Phenotypomics: Cellular sensors for chemical and biological hazard identification

The project will utilise high end confocal microscopy in conjunction with data science and machine learning techniques to determine whether there are characteristic cellular morphological/physical (phenotype) changes in response to different types of biological and chemical hazards. Read more
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Young people, urban green and blue space use, and barriers.

This studentship will investigate the current mental health crisis and explore how this is influencing urban green and blue spaces (UGBS) use in young people, as well as how urban green and blue spaces may help to mitigate poor mental health in this group. . Read more

Using single cell transcriptomic and blood proteomic data to understand how pancreatic cancer causes diabetes and to find ways to detect the cancer earlier.

Background. Pancreatic cancer is the deadliest of the common cancers. Five-year survival remains low at 10%. Sadly for 80% of patients, by the time their cancer is diagnosed it has spread to distant organs making them ineligible for potentially curative surgery. Read more
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Post-Impact Ejecta Dynamics in Binary Asteroids

BACKGROUND. Studying the fate of asteroids ejecta is of scientific interest to understand the dynamics around minor bodies. Indeed, particles orbiting around asteroids can serve as a way to understand their gravitational strength and internal structure. Read more
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