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Statistics with Data Analytics

Brunel University London

M.Sc.
12 months
Duration
19280 GBP/year
10440 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Statistics with Data Analytics course offered by Brunel University London 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.

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Overview

Statistics is the study of the collection, analysis, interpretation, presentation and organisation of data. Statistical analysis and data analytics is listed as one of the highly desirable skills employers are looking for, and with data becoming an ever increasing part of modern life, the talent to extract information and value from complex data is scarce.

This master’s in Statistics with Data Analytics course offered by Brunel University London 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.

Careers and your future

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.

Programme Structure

Courses included:

  • Big Data Analytics
  • Computer Intensive Statistical Methods
  • Data Visualisation
  • Fundamentals of Machine Learning
  • Probability and Stochastics
  • Quantitative Data Analysis
  • Research Methods and Case Studies
  • Dissertation

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class (required)
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
58 (required)

Other requirements

General requirements

A UK honours degree or equivalent, internationally recognised qualification in mathematics/statistics or other numerate disciplines with adequate content in statistics.

Tuition Fee

  • International

    19280 GBP/year
    Tuition Fee
    Based on the original amount of 19280 GBP per year and a duration of 12 months.
  • EU/EEA

    10440 GBP/year
    Tuition Fee
    Based on the original amount of 10440 GBP per year and a duration of 12 months.
  • UK/EU students: £5,220 part-time
  • International students: £9,640 part-time

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Statistics with Data Analytics M.Sc.
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Brunel University London

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