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Data Science and Analytics

Cardiff University

M.Sc.
12 months
Duration
22950 GBP/year
9700 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

This Data Science and Analytics course from Cardiff University will equip students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. You will develop a range of in-demand skills for extracting and handling ‘big data’ and applying modelling tools to help businesses and government organisations make better decisions.

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Overview

On completion of the Data Science and Analytics course from Cardiff University, you will be well placed to progress into a variety of roles in data-intensive industries or a related research career.

This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Mathematics. 

Distinctive features

  • This course incorporates project-based learning using real-world datasets and problems.
  • Learn from a cross-disciplinary network of experts across the School of Mathematics, the School of Computer Science and Informatics, and related University research groups such as the Data Innovation Research Institute, Social Data Science Lab, and Health Modelling Centre Cymru.
  • Gain valuable work experience on professional work placements and projects with leading data science practitioners in the UK and abroad.
  • Some of your modules will be taught in our newly-renovated Turing Suite.
  • You will be provided with a laptop during induction week that will remain with you throughout the duration of the course.

Career

The skills you gain during the programme will equip you for graduate roles in this field. Previous postgraduates have gone on to work with a variety of companies and Government organisations including the Office for National Statistics, Lloyds Banking Group, Nationwide, British Airways, Network Rail, UK Government, The Financial Times, Virgin Media, Welsh Water and Admiral Insurance.

Programme Structure

Courses include:

  • Dissertation
  • Data Visualisation
  • Applied Machine Learning
  • Computational Data Science
  • Foundations of Operational Research and Analytics
  • Foundations of Statistics and Data Science

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 36 months

Start dates & application deadlines

More details

It is recommended you apply 9–12 months in advance of the course starting.

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.
First 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.
90 (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.

Other requirements

General requirements

  • In order to apply, you must possess a first or minimum second class honours degree from a recognised university in a numerate subject, such as mathematics, operational research, statistics, computer science, management science, economics, engineering or a suitable science degree.

Tuition Fee

  • International

    22950 GBP/year
    Tuition Fee
    Based on the original amount of 22950 GBP per year and a duration of 12 months.
  • EU/EEA

    9700 GBP/year
    Tuition Fee
    Based on the original amount of 9700 GBP per year and a duration of 12 months.

Part time fee

  • EU/EEA £4,850
  • NON-EU/EEA £11,475

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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Data Science and Analytics
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Cardiff University

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