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MSc Data Science and its Applications

MSc Data Science and its Applications

Different course options

Full time | University of Essex | 1 year | OCT

Study mode

Full time

Duration

1 year

Start date

OCT

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course Summary

Our MSc Data Science and its Applications is a conversion course, designed for students with only a little prior experience of university-level mathematics and statistics, who want to be part of our fast-growing digital economy (students with no exposure to university-level mathematics may consider our MSc Applied Data Science). This course will place you at the core of data science, with the application of theory and methods to real-world problems, including the use and exploitation of big data.At Essex, 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.The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.

Modules

How do you apply multivariate methods? Or demographical and epidemiological methods? And how do you apply sampling methods? Study three application areas of statistics ? multivariate methods, demography and epidemiology, and sampling. Understand how to apply and assess these methods in a variety of situations.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,500

International fees
Course fees for EU and international students

For this course (per year)

£22,750

Entry requirements

A 2.2 degree in one of the following subjects: Biology, Biostatistics, Chemistry, Economic Statistics, Economics, Finance, Marketing, Physics or any other degree 2:2 or above which includes three modules from the below list: Calculus (AKA Mathematical Analysis), Maths (I/II/III), Engineering Maths (I/II/III), Advanced Maths (I/II/III), Statistics, Probability.