As a Data Science student at The University of Edinburgh 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; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
You will develop specialist, advanced skills in data science methods and their applications. 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.
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You will follow two taught semesters of lectures, tutorials, project work and written assignments. During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
You are also required to take a breadth of courses in data science, with at least one in each of the following areas (examples of courses recently offered in each area are listed in parentheses):
- Machine Learning, Statistics and Optimization (e.g., Machine Learning and Pattern Recognition, Statistical Programming, Large Scale Optimization for Data Science)
- Databases and Data Management (e.g., Introduction to Databases, Extreme Computing, Advanced Database Systems)
- Applications (e.g., Text Technologies for Data Science, Accelerated Natural Language Processing, Image and Vision Computing)
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- 12 months
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesInformatics & Information Sciences Data Science & Big Data Machine Learning View 361 other Masters in Data Science & Big Data in United Kingdom
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- 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.)
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International35900 GBP/yearTuition FeeBased on the tuition of 35900 GBP per year during 12 months.
National16200 GBP/yearTuition FeeBased on the tuition of 16200 GBP per year during 12 months.
Part-time 2 years, fees per year
- Home: £8,100
- International/EU: £17,950
Part-time 3 years, fees year
- Home: £5,400
- International/EU: £11,970
Living costs for Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.