MPhil in Data Intensive Science
10 monthsProgramme duration
51,047 GBPTuition Fee/year
16 May, 2024Application Deadline
OctStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MPhil
Study Level
Masters
Study Mode
On Campus
- demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
- societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce);
- need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development;
- importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MPhil
Study Level
Masters
Study Mode
On Campus
- demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
- societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce);
- need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development;
- importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.
Admission Requirements
Applicants for this course should have achieved a UK Good II.i Honours Degree.
Applicant’s degree should be in science or a technology discipline, and applicants are expected to demonstrate abilities at an adequate level in mathematics especially in the domain of linear algebra, statistics and probability. Candidates should also demonstrate sufficient training to engage with the scientific content of at least 2 minor modules.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
International
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