Data Science PhD Research Projects PhD Projects, Programmes & Scholarships
We have 293 Data Science PhD Research Projects PhD Projects, Programmes & Scholarships
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:
Natural language processing
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.
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.
This research project focuses on developing individualised, explanatory computational models for modulating autonomic responses through music that can be used in digital therapeutics for cardiovascular health, with focus on treatments for raised blood pressure. Read more
Aims and Objectives. This project will explore whether data derived from a person’s smartphone can be used to establish that person’s hydration status so that, in a well guided and responsive way, a system can prompt the person to drink water. Read more
Supervisors: This is a joint project between the University of Kent and Butterfly Conservation and the PhD student will be supervised by a team with expertise in Statistics, Statistical Ecology, Citizen Science, and Butterfly Monitoring. Read more
Vision is probably our most important sense. Vision starts in the retina, the light-sensitive tissue lining the back of the eye. It is a well-layered structure with synaptic (connections of neurons) and nuclear (cell bodies) layers. Read more
This project is part of the. Centre for Doctoral Training in Geospatial Systems. The successful candidate will be co-supervised by academics from within the School of Engineering at Newcastle University and work alongside our external partner. Read more
Aim 1. To develop a random directed graph model (RDM) suitable for tuberculosis household contact studies. RDM should be adapted to incorporate key epidemiological features of TB, specifically long latency and the fact that only TB cases are infectious. Read more
This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches. Read more