Studyportals

Scientific Computing and Data Analysis

Durham University

M.Sc.
12 months
Duration
25000 GBP/year
11000 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Scientific Computing and Data Analysis course offered by Durham University is intended to provide Masters-level education in Computer Science aspects of scientific computing (algorithms, data structures, implementation techniques and computer tool usage), in Mathematical aspects of data analysis and application knowledge in the chosen specialisation domain.

Overview

The programme

The Scientific Computing and Data Analysis course offered by Durham University is designed along five core educational aims:

  • Train the next generation of research-affine data and computational scientists and engineers for the UK high tech sector; they have to be equipped with a very solid understanding of the underlying computing technologies and methodologies
  • Equip you with the skills and knowledge to apply successfully for further higher education programmes (PhD) with a strong computing and data flavour in Durham or outstanding international institutions
  • Provide you with the opportunity to obtain a deep insight into the state-of-the-art in the respective application domain with respect to computational and data challenges
  • Enable you to bridge the widening gap between application domains, big data challenges and high-performance computing once you have mastered the course
  • Make you aware of the societal, economical and ethical responsibilities, opportunities and implications tied to massive data processing and compute power; this includes training on entrepreneurship.

Programme Structure

The course is designed such that:

  • you will obtain a solid baseline in methodological skills
  • you can either put emphasis on data analysis or scientific computing 
  • you will do a challenging project either within the methodological academic departments (Mathematical Sciences or Computing Science), or within the specialisation area, or in close cooperation with our industrial partners
  • you will acquire important professional skills spanning collaboration and project management, presentation and outreach as well we entrepreneurial thinking
  • you will study selected topics from your specialisation area with a strong emphasis on computational and data challenges.

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

A UK first or upper second class honours degree (BSc) or equivalent

  • In Physics or a subject with basic physics courses OR
  • In Computer Science OR
  • In Mathematics OR
  • In any natural sciences with a strong quantitative element.

We strongly encourage students to sign up for a specialisation area they already have some background of affinity. At the moment, the course thus targets primarily Physics students.

  • Programming knowledge on a L3 level in at least one programming language and commitment to learn C and Python independently if not known before. See Additional requirements.

Tuition Fee

  • International

    25000 GBP/year
    Tuition Fee
    Based on the original amount of 25000 GBP per year and a duration of 12 months.
  • EU/EEA

    11000 GBP/year
    Tuition Fee
    Based on the original amount of 11000 GBP per year and a duration of 12 months.

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.

Our partners

Scientific Computing and Data Analysis
-
Durham University

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