Study cover for Data Science
M.Sc. On Campus

Data Science

The University of Edinburgh

12 months
Duration
35900 GBP/year
16200 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science programme offered by The University of Edinburgh 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.

Visit the official programme website for more information

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Overview

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.

Career opportunities:

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.

Programme Structure

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)

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

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 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.)

Tuition Fee

To alway see correct tuition fees
  • International

    35900 GBP/year
    Tuition Fee
    Based on the tuition of 35900 GBP per year during 12 months.
  • National

    16200 GBP/year
    Tuition Fee
    Based 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

725 - 1167 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

 

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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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