Scientific Computing meets Data Analysis

Science for Data – Data for Science

Advance in many fields in science and engineering 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 official course sign-up page can be found at this address.