Scientific Computing meets Data Analysis

Science for Data – Data for Science

For potential students: Visit our FAQs (the first updates w.r.t. AY 21/22 are online)
Advances in many fields from science, engineering and economoy will be driven by those skilled in handling large parallel machines and data sets with extreme volume or velocity. The Durham MSc in Scientific Computing and Data Analysis (MISCADA) trains students in these areas, equips them with essential professional, entrepreneurial and collaborative skills, and gives them the opportunity to apply all acquired knowledge to challenging, state-of-the-art problems from a computational specialisation area. The program targets an audience with excellent technical skills (in particular mathematics and programming) and makes the students understand how modern scientific computing and data analysis tools work.
If you have questions about the course, feel free to contact the course director directly.
The interdisciplinary program is coordinated taught and coordinated by Durham’s Department of Computer Science, ranked no 5 in UK by the Complete University Guide.
This video is also available with Chinese subtitles.
Some testimonials of students (various languages incl Chinese, German and English)
The other major selling point of the programme is that it brings together one specialisation area with the latest data analysis and simulation technologies. Our student cohort brings along expertise and interest in both the selected application (specialisation) area plus the computer and mathematical sciences used therein. The official course sign-up page can be found at this address.