You should have a good first degree in computer science, mathematics, physics, engineering, or a related discipline. Applicants coming directly from a Bachelors or Masters degree are welcome. If English is not your first language, you must have one of the following qualifications as evidence of your spoken and written English- IELTS Academic module: 6.5 (with score no lower than 6.0 in each section); TOEFL-iBT: total 92 (with no score lower than 20 in each section); PTE: 61 (with no score lower than 56 in each section); CAE and CPE: total 176 (at least 169 in each module).
Months of entry
Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Large data sets are now generated by almost every activity in science, society and commerce.
This EPSRC-sponsored programme tackles the question: how can we efficiently find patterns in these vast streams of data?
Many research areas in informatics are converging on the problem of data science. Those represented in the School include machine learning, databases, data management, optimization and cluster computing; and also the unstructured data issues generated in areas such as natural language processing and computer vision.
Our programme will allow you to specialise and perform advanced research in one of these areas, while gaining breadth and practical experience throughout data science.
A short sample of our research interests includes:
- machine learning applied to problems in biology, astronomy, computer science, engineering, health care, and e-commerce
- database theory and technology for managing unstructured data and for maintaining trust in data
- big data and management of streaming data
- management of unstructured data, including natural language processing, speech processing, and computer vision
Many more topics can be found by exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:
You will be supervised by one of our 45 world-renowned faculty. You will also benefit from interacting with a group of 35 leading industrial partners, including Amazon, Apple, Google, IBM, and Microsoft.
This will ensure your research is informed by real world case studies and will provide a source of diverse internship opportunities. Moreover we believe that key research insights can be gained by working across the boundaries of conventional groupings.