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Data Science, MSc
University of Aberdeen

Student rating
(4.4)

Curious about studying Data Science, MScat University of Aberdeen? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

Old Aberdeen Campus

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Study mode

Full Time

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Start date

Sep 2026

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Duration

1 Year

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Course info

The programme covers machine learning, big data analytics, data visualisation, and data management, ensuring graduates are well-prepared for careers in data science. We welcome graduates from a wide range of academic backgrounds who are looking to take advantage of the growing demand for data scientists across almost every industry sector today including finance, health, government, retail and manufacturing. Recent advances in data science, such as big data, predictive analytics, and AI technologies including ChatGPT and Bard AI are revolutionising the way organisations automate their processes, predict future trends, and engage with customers. However, as the volume, diversity and complexity of data being gathered continue to increase, the key challenge facing organisations today is how to make sense of data, and more importantly, how to use data to inform business decisions. To solve this problem, companies need data scientists who are not only highly skilled in a wide range of statistical and data analysis tools but who can go beyond statistics to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. We go beyond classical statistics and data analysis to teach you how to apply logical thinking, machine learning and computer algorithms to come up with solutions to problems faced across many academic disciplines and industry sectors. The multidisciplinary and multisector focus of the MSc Data Science also means we welcome applications from a wide range of academic or professional backgrounds, including science, technology, engineering and medicine as well as the humanities, business and social sciences. This programme has been designed in collaboration with industry partners, including Wolfram Research, to ensure that the algorithms, tools and workflows required by the industry are covered. You will gain proficiency in the use of Wolfram Mathematica and learn the programming fundamentals that underpin languages such as Python and R. By the end of this programme, you will have developed the mathematical, computational and communication skills needed to produce meaningful insights that organisations can use to improve their performance.

Key stats
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WUSCA Student ranking
44th/91
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Complete University Guide ranking
32nd
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Complete University Guide Computer Science ranking
32nd
What students say
DA
Desta Ali
University of Aberdeen
DH
David Hale
University of Aberdeen
AM
atefe mahdaviadel
University of Aberdeen
UE
Uzochukwu Esiobi
University of Aberdeen
AC
Anurag Chaudhari
University of Aberdeen
Tuition fees
Student living
£12,200 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Latest reviews

How University rating students rated:
University rating
Overall ratingRating icon4.4
5 stars
48%
4 stars
42%
3 stars
8%
2 stars
0%
1 star
0%
Latest Data Science reviews
AB
Akshita Bhardwaj
University of Aberdeen
AC
Anurag Chaudhari
University of Aberdeen
AM
atefe mahdaviadel
University of Aberdeen
DH
David Hale
University of Aberdeen
DA
Desta Ali
University of Aberdeen
UE
Uzochukwu Esiobi
University of Aberdeen

Uni info

Student rating
(4.4)
View reviews
CUG ranking 32nd
University of Aberdeen
King's CollegeAberdeenAberdeenAB24 3FXUnited Kingdom
Nearest train station:Aberdeen 0.9 miles away
Nearest tube station:Chesham 237.5 miles away
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