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Data Science, MSc

Swansea University · Wales · MSC-DATA-SCIENCE

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Data Science, MSc is a Postgraduate taught degree at Swansea University, Wales, typically 1 year of full-time study. It covers areas like data science, machine learning, computational mathematics, statistical computing, data mining, data analysis. The summary below is compiled from public course information — approximate, not official.

University
Swansea University
Level
Postgraduate taught
Duration
1 year
Indicative fees
£12,100

What you'll study in Data Science, MSc

data-sciencecomputational-mathematicsstatistical-computingdata-analyticsmachine-learningdata-analysisdata-miningstatistical-learningpostgraduate-research-methodsquantitative-research-methodsdeep-learningapplied-statisticsmathematics-educationqualitative-research-methods

Example subjects: Digital Transformation, Foundation Project for Science, Engineering and Mathematics, Advanced Project for Chemistry with Scientific Computing, Algorithms and Architectures, Data Systems, Foundations of Human-Centred AI, Design Methods for Human-Centred AI, Algorithms and Data, Machine Learning (Teaching Unit), Applied Data Science (Teaching Unit), Applied Data Science, Machine Learning.

Frequently asked questions

How long is Data Science, MSc?

Data Science, MSc at Swansea University is typically 1 year of full-time study. Approximate — confirm with the university.

What will I study in Data Science, MSc?

Data Science, MSc covers areas like data-science, computational-mathematics, statistical-computing, data-analytics, machine-learning, data-analysis, data-mining, statistical-learning.

How much does Data Science, MSc cost?

Indicative domestic fees for Data Science, MSc are around £12,100 (approximate, usually per year). International fees differ — confirm with the university.

Who offers Data Science, MSc?

Data Science, MSc is offered by Swansea University, Wales, and 3 other universities.

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Sources: Swansea University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.

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