About the course

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.

　　As an MSc Data Science student, you will explore how to 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.

　　Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 1 Year(s)Fees: Not available

Intake	Location
Semester 1 (September), 2024	Edinburgh
Semester 1 (September), 2025	Edinburgh
Semester 1 (September), 2026	Edinburgh

　　

How to apply

Entry requirements for University of Edinburgh

A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline. Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree. You should have experience of computer programming equivalent to an introductory programming course and have completed the equivalent to 60 credits of mathematics during your degree that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)

　　IELTS Academic: total 6.5 with at least 6.0 in each component

　　TOEFL-iBT: total 92 with at least 20 in each section.

　　

English language requirements

　　7.0

　　Overall IELTS band score

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　　TOEFL Internet based overall score: 100.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomes

　　

Reviews and rankings

World ranking

　　30th / 1250

　　THE World ranking12th / 130

　　Complete University guide

　　

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