Taught course

Data Science

Institution
University of Edinburgh · School of Informatics
Qualifications
MSc

Entry requirements

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). English language requirements may also apply.

Months of entry

September

Course content

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.

Information for international students

Please visit our website for further information.

Qualification and course duration

MSc

part time
24 months
full time
12 months

Course contact details

Name
Programme Administrator
Email
ito@inf.ed.ac.uk
Phone
+44 (0)131 650 5194