We have 233 Data Analysis PhD Projects, Programmes & Scholarships

Discipline

Discipline

Mathematics

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Data Analysis PhD Projects, Programmes & Scholarships

We have 233 Data Analysis PhD Projects, Programmes & Scholarships

A PhD in Data Analysis is an exciting and highly sought-after opportunity for those passionate about numbers and their applications in various industries.

What's it like to study a PhD in Data Analysis?

Studying a PhD in Data Analysis allows you to delve deep into the world of mathematics and explore its applications in data-driven decision making. You will have the chance to work on cutting-edge research projects, developing advanced statistical models and algorithms to extract meaningful insights from complex datasets.

During your PhD journey, you will have the opportunity to collaborate with leading experts in the field, attend conferences and workshops, and publish your research in prestigious academic journals. The program will also provide you with the necessary training in research methodologies, data visualization, and programming languages commonly used in data analysis, such as Python and R.

Entry requirements for a PhD in Data Analysis

To pursue a PhD in Data Analysis, you will typically need a strong background in mathematics or a related field. Most universities require applicants to hold a Master's degree in Mathematics, Statistics, or a relevant discipline. Additionally, a solid understanding of programming and statistical software is highly desirable.

PhD in Data Analysis funding options

Funding for PhDs in Data Analysis may be available from various sources, including governments, universities and charities, business or industry. See our full guides to PhD funding for more information.

PhD in Data Analysis careers

A PhD in Data Analysis opens up a wide range of career opportunities in both academia and industry. Many graduates go on to become data scientists, working in sectors such as finance, healthcare, marketing, and technology. As a data scientist, you will be responsible for analyzing large datasets, developing predictive models, and providing valuable insights to drive business decisions.

Other career paths include research and development roles in government agencies, consulting positions, and academic positions as professors or researchers. The demand for data analysts and scientists is rapidly growing, making it an excellent time to pursue a PhD in Data Analysis.

In conclusion, a PhD in Data Analysis offers a stimulating and rewarding experience for those passionate about numbers and their real-world applications. With the increasing reliance on data-driven decision making in various industries, this program equips you with the skills and knowledge to become a sought-after expert in the field. Whether you choose to pursue a career in academia or industry, a PhD in Data Analysis will open doors to exciting opportunities and allow you to make a significant impact in the world of data.

read more

Impacts of oversizing on the performance of energy and environmental systems

Heating, cooling, and ventilation systems in buildings are often sized at capacities exceeding the demand for these services. This can result in inefficient operation, higher initial and operational costs, and larger environmental impacts. Read more

Personalising cancer treatment with tumour evolution modelling using AI-based genomics biomarkers and PK/PD

Tumour heterogeneity is a major problem limiting the efficacy of targeted oncological therapies. Most advanced tumours eventually become resistant to the treatments, ultimately making the patient succumb to metastatic disease. Read more

Combinatorial Artificial Intelligence for Defence Applications PhD - sponsored by EPSRC and BAE Systems

Combinatory Artificial Intelligence (also known as Third Wave AI as initially described by DARPA) is the term that references the next foreseen advances within Artificial Intelligence. This stems from the two main styles of AI development over the last two decades. . Read more

Advanced analytics to investigate novel BP wearable technology to improve cardiovascular outcomes and falls

This is a unique opportunity to work with the world’s largest research cohort of its kind harnessing detailed 24-hour blood pressure records and cardiovascular and falls outcomes on follow up for more than 26,000 people across three UK City regions. Read more

Developing a Comprehensive Framework for Clinical Validation of Generative AI in Primary Care: Beyond Performance Metrics

Commercial partner: EMIS. This project aims to develop a robust framework for the clinical evaluation of generative AI large language models (LLMs) in primary care settings, with a specific focus on the critical phase of clinical validation. Read more

Combating memory decline during sleep

Commercial partner: Clarity Technologies. This project tackles cognitive decline in aging by capitalizing on the crucial role of sleep in maintaining health and memory. Read more

Filtering Results