•to meet the potential gap for data analysis professionals around the world, •to prepare graduates to work with data in the business environment, •provide a route for students in their transition from undergraduate study to employment in data-led sectors, •provide the opportunity to gain practical experience in databases (and achieve two professionally accredited certificates) and a rigorous understanding of applied statistics, data mining, operational research and related areas.
This is a year-long programme including two terms of taught modules, succeeded by project work during the summer term.
1st term will include course work on: • 3 core modules --Scientific Computing, Mathematical Modelling, Programming in C++ & Advanced Algorithms AND •1 optional module—1 out of Generalized Linear Models, Financial Mathematics, Internet & Cloud Computing).
2nd term is similar in design with: •3 core modules--Operational Research, Data Mining & Neural Networks, Financial Services Information Systems AND •1 optional module—1 out of Computational Methods for PDEs, Applied Statistics, Further Statistics, Game Theory, Design & Analysis of Algorithms.
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