MSc in Statistics with Data Analytics in Uxbridge United Kingdom | Brunel University of London

Brunel University of London | Uxbridge United Kingdom
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
GBP 25,000
(c. USD33,564.5)
Attendance
Full-time
Full-time Duration
12 months

This course is designed to train the next generation of statisticians with a focus on the field of data analytics. Employers expect skills in both statistics and computing. This master’s programme will provide a unique and coherent blend of modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data. This programme offers training in modern statistical methodology, computational statistics and data analysis from a wide variety of fields, including financial and health sectors. By the end of this programme you’ll have acquired an advanced level of statistical knowledge and data analytical skills. This will allow you to work as an independent expert within a multidisciplinary team that designs, performs, analyses and reports about applied scientific research. You’ll be equipped to pursue a career in data science, the financial sector or the health sector. Areas you might be interested in could include big processing companies (Accenture, Oracle Corporation), the financial sector (JP Morgan), pharmaceuticals (GSK), government agencies (the Office of National Statistics) and data science departments within universities.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.0

Qualification Requirements

Applicants need to have a 2.2 (or above) UK honours degree or equivalent, internationally recognised qualification in numerate disciplines with adequate content in statistics, including: Mathematics, Statistics, Computational Statistics, Biostastics, Medical Statistics, Social Statistics, Machine Learning, Stochastic models, Probability Statistics, Statistical Modelling, Applied Statistics or Econometrics, Economics, Actuarial Science, Mathematics for Data Science, Applied Mathematics. Other academic profiles and students with relevant work experience will be considered on a case by case basis.

Tuition GBP 25,000

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