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University of Aberdeen: Data Science
Institution | University of Aberdeen View institution profile |
---|---|
Department | School of Natural and Computing Sciences |
Web | https://www.abdn.ac.uk |
pgadmissions@abdn.ac.uk | |
Telephone | 01224 272090 |
Study type | Taught |
MSc
Summary
There is an increasing demand for data scientists across all industry sectors, from healthcare and tech to finance, retail and beyond. This programme enables graduates of various disciplines to take advantage of the growing career opportunities in this field, by teaching the essential Computational Thinking (CT) and data analysis skills needed by employers today. Over the last 5 years, there has been an enormous increase in demand for Data Scientists across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity. 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 not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. Unlike many other data science programmes, this MSc goes beyond statistics and big data, to use a Computational Thinking (CT) approach to data science, one that applies logical thinking, sequencing and algorithms to create solutions to problems across many disciplines and industries.
The multidisciplinary focus of the programme also means that it is open to qualified applicants from across a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM), but also 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 industry are covered. You will also gain proficiency in the use of Wolfram Mathematica programme.
Level | SCQF Level 11 |
---|---|
Entry requirements | A UK 2:2 (lower second class) Honours degree or equivalent in any subject will be considered. |
Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
Fees
Republic of Ireland | 12200 GBP for Year 1 |
---|---|
EU | 27000 GBP for Year 1 |
England | 12200 GBP for Year 1 |
Northern Ireland | 12200 GBP for Year 1 |
Scotland | 12200 GBP for Year 1 |
Wales | 12200 GBP for Year 1 |
Channel Islands | 12200 GBP for Year 1 |
International | 27000 GBP for Year 1 |
Summary
There is an increasing demand for data scientists across all industry sectors, from healthcare and tech to finance, retail and beyond. This programme enables graduates of various disciplines to take advantage of the growing career opportunities in this field, by teaching the essential Computational Thinking (CT) and data analysis skills needed by employers today. Over the last 5 years, there has been an enormous increase in demand for Data Scientists across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity. 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 not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. Unlike many other data science programmes, this MSc goes beyond statistics and big data, to use a Computational Thinking (CT) approach to data science, one that applies logical thinking, sequencing and algorithms to create solutions to problems across many disciplines and industries.
The multidisciplinary focus of the programme also means that it is open to qualified applicants from across a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM), but also 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 industry are covered. You will also gain proficiency in the use of Wolfram Mathematica programme.
Level | SCQF Level 11 |
---|---|
Entry requirements | A UK 2:2 (lower second class) Honours degree or equivalent in any subject will be considered. |
Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
Fees
Republic of Ireland | 12200 GBP for Year 1 |
---|---|
EU | 27000 GBP for Year 1 |
England | 12200 GBP for Year 1 |
Northern Ireland | 12200 GBP for Year 1 |
Scotland | 12200 GBP for Year 1 |
Wales | 12200 GBP for Year 1 |
Channel Islands | 12200 GBP for Year 1 |
International | 27000 GBP for Year 1 |
Summary
There is an increasing demand for data scientists across all industry sectors, from healthcare and tech to finance, retail and beyond. This programme enables graduates of various disciplines to take advantage of the growing career opportunities in this field, by teaching the essential Computational Thinking (CT) and data analysis skills needed by employers today. Over the last 5 years, there has been an enormous increase in demand for Data Scientists across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity. 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 not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. Unlike many other data science programmes, this MSc goes beyond statistics and big data, to use a Computational Thinking (CT) approach to data science, one that applies logical thinking, sequencing and algorithms to create solutions to problems across many disciplines and industries.
The multidisciplinary focus of the programme also means that it is open to qualified applicants from across a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM), but also 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 industry are covered. You will also gain proficiency in the use of **Wolfram Mathematica** programme.
Level | SCQF Level 11 |
---|---|
Entry requirements | A UK 2:2 (lower second class) Honours degree or equivalent in any subject will be considered. |
Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
Fees
Republic of Ireland | 12154 GBP for Year 1 |
---|---|
EU | 27000 GBP for Year 1 |
England | 12154 GBP for Year 1 |
Northern Ireland | 12154 GBP for Year 1 |
Scotland | 12154 GBP for Year 1 |
Wales | 12154 GBP for Year 1 |
Channel Islands | 27000 GBP for Year 1 |
International | 27000 GBP for Year 1 |
Summary
There is an increasing demand for data scientists across all industry sectors, from healthcare and tech to finance, retail and beyond. This programme enables graduates of various disciplines to take advantage of the growing career opportunities in this field, by teaching the essential Computational Thinking (CT) and data analysis skills needed by employers today. Over the last 5 years, there has been an enormous increase in demand for Data Scientists across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity. 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 not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge. Unlike many other data science programmes, this MSc goes beyond statistics and big data, to use a Computational Thinking (CT) approach to data science, one that applies logical thinking, sequencing and algorithms to create solutions to problems across many disciplines and industries.
The multidisciplinary focus of the programme also means that it is open to qualified applicants from across a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM), but also 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 industry are covered. You will also gain proficiency in the use of **Wolfram Mathematica** programme.
Level | SCQF Level 11 |
---|---|
Entry requirements | A UK 2:2 (lower second class) Honours degree or equivalent in any subject will be considered. |
Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
Fees
Republic of Ireland | 12154 GBP for Year 1 |
---|---|
EU | 27000 GBP for Year 1 |
England | 12154 GBP for Year 1 |
Northern Ireland | 12154 GBP for Year 1 |
Scotland | 12154 GBP for Year 1 |
Wales | 12154 GBP for Year 1 |
Channel Islands | 27000 GBP for Year 1 |
International | 27000 GBP for Year 1 |
Overview
The University of Aberdeen is Scotland’s third oldest university and the fifth oldest in the UK. Founded by Bishop William Elphinstone in 1495, the beautiful campus attracts a diverse international community of over 14,000 students from over 130 countries.
The University of Aberdeen is ranked as a Top 20 UK university by the Guardian University Guide 2024 and Times and Sunday Times Good University Guide 2024, and ranks among the best 200 universities in the world (Times Higher Education World University Rankings 2023). It also ranks second across Scotland, Wales and Northern Ireland for student satisfaction in The …
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