MSc Data Science 12 months Postgraduate Programme By Aberystwyth University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

21,220 GBPTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Data Science is an interdisciplinary area, with applications in business, government, public health, and the sciences. Its applications range from identifying customers’ buying patterns and monitoring machinery to tracking the spread of a disease and logging and improving an individual's health. Assessment is a mix of written assignments, programming assignments, practical portfolios, practical examinations and written examinations. The successful submission of their research dissertation in semester three leads to the award of an MSc.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Data Science is an interdisciplinary area, with applications in business, government, public health, and the sciences. Its applications range from identifying customers’ buying patterns and monitoring machinery to tracking the spread of a disease and logging and improving an individual's health. Assessment is a mix of written assignments, programming assignments, practical portfolios, practical examinations and written examinations. The successful submission of their research dissertation in semester three leads to the award of an MSc.

Admission Requirements

55+
6+
88+
162+

1 Year
Sep

Tuition fees

Domestic
11,055 GBP
International
21,220 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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