12 monthsProgramme duration
44,400 GBPTuition Fee/year
25 Jun, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This MSc course offers an in-depth and rigorous training in computational and data intensive science, designed to equip students with advanced computational skills applicable across a wide range of scientific and engineering disciplines. Combining state-of-the-art computational techniques with real-world scientific problems, this course develops highly skilled computational scientists and engineers who can harness the power of numerical methods and data-intensive approaches to solve complex problems.
Students will gain expertise in key areas such as high-performance computing, data analytics, and advanced numerical simulations, all while learning to critically evaluate and interpret computational results in the context of their specific field. The course stands at the intersection of traditional scientific disciplines and modern computing, giving students a competitive edge by integrating cutting-edge computational tools with scientific inquiry.
By bridging the gap between computing and scientific research, graduates will be well-prepared to tackle some of the most challenging problems in fields such as physics, biology, engineering, environmental science, and beyond. Whether pursuing a career in industry or academia, this MSc opens doors to roles that require deep technical knowledge, innovative problem-solving skills, and the ability to manage and interpret large-scale data sets.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This MSc course offers an in-depth and rigorous training in computational and data intensive science, designed to equip students with advanced computational skills applicable across a wide range of scientific and engineering disciplines. Combining state-of-the-art computational techniques with real-world scientific problems, this course develops highly skilled computational scientists and engineers who can harness the power of numerical methods and data-intensive approaches to solve complex problems.
Students will gain expertise in key areas such as high-performance computing, data analytics, and advanced numerical simulations, all while learning to critically evaluate and interpret computational results in the context of their specific field. The course stands at the intersection of traditional scientific disciplines and modern computing, giving students a competitive edge by integrating cutting-edge computational tools with scientific inquiry.
By bridging the gap between computing and scientific research, graduates will be well-prepared to tackle some of the most challenging problems in fields such as physics, biology, engineering, environmental science, and beyond. Whether pursuing a career in industry or academia, this MSc opens doors to roles that require deep technical knowledge, innovative problem-solving skills, and the ability to manage and interpret large-scale data sets.
Admission Requirements
Tuition fees
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Scholarships
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