BSc Data Science with a Year in Industry
University of Bristol · England · BSC-DATA-SCIENCE-WITH-A-YEAR-IN-INDUSTRY
BSc Data Science with a Year in Industry is a Undergraduate degree at University of Bristol, England, typically 4 years of full-time study. It covers areas like data science, work placement, field education, data analytics, statistical computing, computational mathematics. The summary below is compiled from public course information — approximate, not official.
University of Bristol
Undergraduate
4 years
£9,790
What you'll study in BSc Data Science with a Year in Industry
Example subjects: Biochemistry Industrial Placement, Research Training, International Students Summer Research Project, Industrial Experience and Advanced Distance Learning, Year Abroad, Applied Data Science (Teaching Unit), Applied Data Science, Year Abroad, Year abroad, Year Abroad, Year Abroad in Economics and Politics, Year Abroad in Philosophy and Economics.
Frequently asked questions
How long is BSc Data Science with a Year in Industry?
BSc Data Science with a Year in Industry at University of Bristol is typically 4 years of full-time study. Approximate — confirm with the university.
What will I study in BSc Data Science with a Year in Industry?
BSc Data Science with a Year in Industry covers areas like work-placement, data-science, field-education, global-citizenship, global-business, statistical-computing, postgraduate-research-methods, data-analytics.
How much does BSc Data Science with a Year in Industry cost?
Indicative domestic fees for BSc Data Science with a Year in Industry are around £9,790 (approximate, usually per year). International fees differ — confirm with the university.
Who offers BSc Data Science with a Year in Industry?
BSc Data Science with a Year in Industry is offered by University of Bristol, England.
Considering BSc Data Science with a Year in Industry?
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Sources: University of Bristol official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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