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Kingston University: Data Science MSc
Institution | Kingston University View institution profile |
---|---|
Department | Department of Computer Science |
Web | www.kingston.ac.uk/postgraduate |
Study type | Taught |
MSc
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Roehampton Vale Roehampton Vale Friars Avenue Kingston upon Thames SW15 3DW |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Roehampton Vale Roehampton Vale Friars Avenue Kingston upon Thames SW15 3DW |
Fees
England | 9860 GBP for Year 1 |
---|---|
Northern Ireland | 9860 GBP for Year 1 |
Scotland | 9860 GBP for Year 1 |
Wales | 9860 GBP for Year 1 |
EU | 17500 GBP for Year 1 |
International | 17500 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.
**Example modules**
- Machine Learning and Artificial Intelligence
- Applied Data Programming
- Data Analytics and Visualisation
For a full list of modules please visit the Kingston University course webpage.
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | A 2.1 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Fees
England | 5423 GBP for Year 1 |
---|---|
Northern Ireland | 5423 GBP for Year 1 |
Scotland | 5423 GBP for Year 1 |
Wales | 5423 GBP for Year 1 |
EU | 9625 GBP for Year 1 |
International | 9625 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9620 GBP for Year 1 |
---|---|
Northern Ireland | 9620 GBP for Year 1 |
Scotland | 9620 GBP for Year 1 |
Wales | 9620 GBP for Year 1 |
EU | 15900 GBP for Year 1 |
International | 15900 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5291 GBP for Year 1 |
---|---|
Northern Ireland | 5291 GBP for Year 1 |
Scotland | 5291 GBP for Year 1 |
Wales | 5291 GBP for Year 1 |
EU | 8745 GBP for Year 1 |
International | 8745 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 9620 GBP for Year 1 |
---|---|
Northern Ireland | 9620 GBP for Year 1 |
Scotland | 9620 GBP for Year 1 |
Wales | 9620 GBP for Year 1 |
EU | 15900 GBP for Year 1 |
International | 15900 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Penrhyn Road Campus Penrhyn Road Kingston upon Thames KT1 2EE |
Fees
England | 5291 GBP for Year 1 |
---|---|
Northern Ireland | 5291 GBP for Year 1 |
Scotland | 5291 GBP for Year 1 |
Wales | 5291 GBP for Year 1 |
EU | 8745 GBP for Year 1 |
International | 8745 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Location | Roehampton Vale Roehampton Vale Friars Avenue Kingston upon Thames SW15 3DW |
Fees
England | 9620 GBP for Year 1 |
---|---|
Northern Ireland | 9620 GBP for Year 1 |
Scotland | 9620 GBP for Year 1 |
Wales | 9620 GBP for Year 1 |
EU | 15900 GBP for Year 1 |
International | 15900 GBP for Year 1 |
Summary
**Reasons to choose Kingston**
– This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
– This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
– Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
**About this course**
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area
**Example modules**
– Machine Learning and Artificial Intelligence
– Applied Data Programming
– Data Analytics and Visualization
**Career opportunities**
This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including Data Engineer, Data Analyst and Machine Learning Engineer.
Level | RQF Level 7 |
---|---|
Entry requirements | September 2022- At least a 2.2 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. From January 2023- At least a 2.1 honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses. |
Fees
England | 5291 GBP for Year 1 |
---|---|
Northern Ireland | 5291 GBP for Year 1 |
Scotland | 5291 GBP for Year 1 |
Wales | 5291 GBP for Year 1 |
EU | 8745 GBP for Year 1 |
International | 8745 GBP for Year 1 |
Kingston University
Overview
A vibrant, modern and supportive University based across four campuses, Kingston offers a wide range of postgraduate taught and research degrees. It offers people from all backgrounds and countries (148 at the last count) the opportunity to make a difference – not only to their own lives, but also to the world around them.
You’ll earn a postgraduate degree with a difference via 118 years of teaching excellence. We will help you to achieve your career goals by putting your academic knowledge into practice, gaining the problem-solving skills and flexibility you need to adapt to the changing …![endif]-->!--[if>
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