Study modes: Full-time
Programme website: Data Science
Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care.
Data science asks: how can we efficiently find patterns in these vast streams of data? Many research areas have tackled parts of this problem: machine learning focuses on finding patterns and making predictions from data; ideas from algorithms and databases are required to build systems that scale to big data streams; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech. Recently, these distinct disciplines have begun to converge into a single field called data science.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You are also required to take a breadth of courses in data science, with at least one in each of the following areas:
You can take up to two courses from other schools.
The School of Informatics' MSc in Data Science is designed to attract students who want to establish a career as a data scientist in industry or the public sector, as well as students who want to explore the area prior to further training such as in our CDT in Data Science.
The learning objectives of the degree are to foster:
Through this programme you will develop specialist, advanced skills in the development, construction and management of advanced computer systems.
You will gain practical experience and a thorough theoretical understanding of the field making you attractive to a wide range of employers or preparing you for further academic study.
The minimum entry requirement is a UK 2:1 degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics or psychology.
Experience of computer programming equivalent to an introductory programming course and specific training in mathematics: basic calculus (differentiation and integration) and linear algebra (vectors and multi-dimensional matrices).
Check whether your international qualifications meet our general entry requirements:
If English is not your first language, you must have one of the following qualifications as evidence of your spoken and written English:
If you completed a CAE or CPE before January 2015 please contact the Admissions Office for the accepted grades.
Find out more about our language requirements:
Select your programme and preferred start date to begin your application.
We encourage you to apply at least one month prior to entry so that we have enough time to process your application. If you are also applying for funding or will require a visa then we strongly recommend you apply as early as possible. We may consider late applications if we have places available, but you should contact the relevant Admissions Office for advice first.