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University of Essex: Applied Data Science
| Institution | University of Essex View institution profile |
|---|---|
| Department | Mathematics, Statistics and Actuarial Science |
| Web | essex.ac.uk |
| Study type | Taught |
Master of Science - MSc (PG)
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10500 GBP for Year 1 |
|---|---|
| Northern Ireland | 10500 GBP for Year 1 |
| Scotland | 10500 GBP for Year 1 |
| Wales | 10500 GBP for Year 1 |
| Channel Islands | 10500 GBP for Year 1 |
| Republic of Ireland | 10500 GBP for Year 1 |
| EU | 22750 GBP for Year 1 |
| International | 22750 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10500 GBP for Year 1 |
|---|---|
| Northern Ireland | 10500 GBP for Year 1 |
| Scotland | 10500 GBP for Year 1 |
| Wales | 10500 GBP for Year 1 |
| Channel Islands | 10500 GBP for Year 1 |
| Republic of Ireland | 10500 GBP for Year 1 |
| EU | 22750 GBP for Year 1 |
| International | 22750 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10500 GBP for Year 1 |
|---|---|
| Northern Ireland | 10500 GBP for Year 1 |
| Scotland | 10500 GBP for Year 1 |
| Wales | 10500 GBP for Year 1 |
| Channel Islands | 10500 GBP for Year 1 |
| Republic of Ireland | 10500 GBP for Year 1 |
| EU | 22750 GBP for Year 1 |
| International | 22750 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10000 GBP for Year 1 |
|---|---|
| Northern Ireland | 10000 GBP for Year 1 |
| Scotland | 10000 GBP for Year 1 |
| Wales | 10000 GBP for Year 1 |
| Channel Islands | 10000 GBP for Year 1 |
| Republic of Ireland | 10000 GBP for Year 1 |
| EU | 21700 GBP for Year 1 |
| International | 21700 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10000 GBP for Year 1 |
|---|---|
| Northern Ireland | 10000 GBP for Year 1 |
| Scotland | 10000 GBP for Year 1 |
| Wales | 10000 GBP for Year 1 |
| Channel Islands | 10000 GBP for Year 1 |
| Republic of Ireland | 10000 GBP for Year 1 |
| EU | 21700 GBP for Year 1 |
| International | 21700 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 10000 GBP for Year 1 |
|---|---|
| Northern Ireland | 10000 GBP for Year 1 |
| Scotland | 10000 GBP for Year 1 |
| Wales | 10000 GBP for Year 1 |
| Channel Islands | 10000 GBP for Year 1 |
| Republic of Ireland | 10000 GBP for Year 1 |
| EU | 21700 GBP for Year 1 |
| International | 21700 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our Department of Mathematical Sciences, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophy and Art History, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 9660 GBP for Year 1 |
|---|---|
| Northern Ireland | 9660 GBP for Year 1 |
| Scotland | 9660 GBP for Year 1 |
| Wales | 9660 GBP for Year 1 |
| Channel Islands | 9660 GBP for Year 1 |
| EU | 20700 GBP for Year 1 |
| International | 20700 GBP for Year 1 |
| Republic of Ireland | 20700 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our Department of Mathematical Sciences, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophy and Art History, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 9660 GBP for Year 1 |
|---|---|
| Northern Ireland | 9660 GBP for Year 1 |
| Scotland | 9660 GBP for Year 1 |
| Wales | 9660 GBP for Year 1 |
| Channel Islands | 9660 GBP for Year 1 |
| EU | 20700 GBP for Year 1 |
| International | 20700 GBP for Year 1 |
| Republic of Ireland | 20700 GBP for Year 1 |
Summary
Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
- Using R for statistical modelling and decision making
- Linear and generalised linear models are used for experimental and observational data
- Artificial intelligence
- Deep and statistical learning
- Applied statistics
- Information retrieval
- Digital economy
- Survey sampling
The leading department on this course, our Department of Mathematical Sciences, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophy and Art History, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Level | RQF Level 7 |
| Entry requirements | Please visit our website to learn about our entry requirements - www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 9660 GBP for Year 1 |
|---|---|
| Northern Ireland | 9660 GBP for Year 1 |
| Scotland | 9660 GBP for Year 1 |
| Wales | 9660 GBP for Year 1 |
| Channel Islands | 9660 GBP for Year 1 |
| EU | 20700 GBP for Year 1 |
| International | 20700 GBP for Year 1 |
| Republic of Ireland | 20700 GBP for Year 1 |
We Are Essex. Are you? Join the University of Essex, one of the top 30 universities in the UK (Guardian University Guide 2024).
As an Essex postgraduate you’ll have the freedom to challenge, ask the difficult questions and take intellectual risk. You’re taught and supported by world-leading academics in our research-intensive environment that will enable you to make a difference. You’ll be among Nobel Prize-winners, award-winning directors, presidents, astronauts and over 100,000 other alumni who have gone on to shape the world.
Research quality
We’re dedicated to delivering high-impact research, our pioneering work continues to change the world. During …
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