MSc Data Science
Data Science is a growing and important field of study with a fast growing number of jobs and opportunities within the private and public sector. The theory and methodology of Data Science can be described as the intersection of computer science, statistics and operations research. The application of theory and methods to real world problems and applications is at the core of Data Science, which aims especially to use and to exploit Big Data.
The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. If you are interested in solving real world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics and you are interested and keen to use statistical techniques and methods to interpret data, Data Science at Essex is for you. A balance of solid theory and practical application, this course builds your knowledge in relevant areas of computer science, statistics, data analysis and probability. The course offers conversion modules in statistics and programming to help you to build the right level of knowledge in these areas.
Why study MSc Data Science at Essex?
Our Department of Mathematical Sciences has an international reputation in many areas like such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.
Within our Department of Mathematical Sciences, we have our own computing laboratories and run a seminar series throughout the year to which outside, as well as internal, speakers are invited. Recent external speakers have come from University of Ulm, University of York, New Expression Technologies Group in Cambridge and University of Leicester.
A fully accredited couse.
International Student Requirements:
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International Financial Aid:
Higher Education Institution (Not Carnegie Classified)