Studyportals
M.Sc. On Campus

Scientific Computing and Data Analysis

Durham University

12 months
Duration
27500 GBP/year
12100 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

People skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference. The Scientific Computing and Data Analysis MSc course is offered by Durham University.

Overview

The Scientific Computing and Data Analysis MSc offers an application-focused course to deliver these skills with three interwoven strands: 

  • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage);
  • Mathematical aspects of data analysis;
  • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, or financial mathematics). 

Why study this course

This course will open doors for you, both in the industry as well as in further study, and aims to:

  • Train the next generation of expert research-aware data and computational scientists and engineers for the global high tech sector, equipped with genuine understanding of the underlying computing technologies and methodologies
  • Give you a deep insight into the state-of-the-art computational and data challenges in your chosen specialisation
  • Enable you to bridge the widening gap between application domains, big data challenges and high-performance computing
  • Prepare you to apply successfully for further higher education programmes (PhD) with a strong computing and data flavour in Durham or other world-leading institutions
  • 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.
  • The The Scientific Computing and Data Analysis MSc course at Durham University is taught using a wide range of learning research-led and teaching methods:

    • Lectures
    • Practical classes/computer labs
    • Independent study, research and analysis
    • Project (dissertation) and coursework
    • Group and individual presentations

    Programme Structure

    In this course:

    • you will obtain a strong baseline in methodological skills
    • you will study selected topics from your chosen specialisation area with a strong emphasis on computational and data challenges.
    • you can choose to put emphasis on data analysis or scientific computing 
    • you will do a challenging project either within the methodological academic departments (Mathematical Sciences or Computer 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 as entrepreneurial thinking

    Key information

    Duration

    • Full-time
      • 12 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 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 for which they already have some background or affinity. At the moment, the course targets primarily Physics students and Mathematics students. If you do not have a degree from these subjects, we strongly recommend you to contact the University beforehand to clarify whether you bring along the right background. Please note that standard business degrees are not sufficient, as they lack the required level of mathematical education.

    Programming knowledge on an graduate level in at least one programming language and commitment to learning C and Python independently if not known before. 

    Tuition Fee

    To alway see correct tuition fees
    • International

      27500 GBP/year
      Tuition Fee
      Based on the tuition of 27500 GBP per year during 12 months.
    • National

      12100 GBP/year
      Tuition Fee
      Based on the tuition of 12100 GBP per year during 12 months.

    Part Time Fees

    • EU students: £6,655  per year
    • Island students students: £15,125 per year

    Living costs for Durham

    660 - 1140 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.

    Our partners

    Scientific Computing and Data Analysis
    -
    Durham University

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