Overview
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.
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.
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.
Career Outcomes
Job titles of our recent Data Science course graduates at The University of Edinburgh include:
- Data Engineer
- Data Scientist
- Predictive Analyst
- Software Engineer
- Lead Data Analyst
- IT Application Development Specialist
Recruiting companies for recent graduates include:
- European Central Bank
- United Airlines
- SSE PLC
- DataArt
- Barclays UK
- Morgan Stanley
- PT Toyota Astra Financial Services
Programme Structure
Courses include:
- Machine Learning Practical
- Probabilistic Modelling and Reasoning
- Applied Machine Learning
- Advanced Topics in Machine Learning
- Statistical Methodology
- Applied Statistics
- Time Series
- Large Scale Optimization for Data Science
- Bayesian Data Analysis
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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 of 60 SCQF credits or 30 ECTS 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.)
Tuition Fees
-
International Applies to you
Applies to youNon-residents45410 GBP / year≈ 45410 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents18000 GBP / year≈ 18000 GBP / year
Additional Details
Part - time 2 years:
- National : £9,000
- International:£22,705
Part - time 3 years:
- National : £6,000
- International: £15,140
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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