find your perfect postgrad program
Search our Database of 30,000 Courses
University of Essex: Optimisation and Data Analytics
| Institution | University of Essex View institution profile |
|---|---|
| Department | Mathematics, Statistics and Actuarial Science |
| Web | essex.ac.uk |
| pgadmit@essex.ac.uk | |
| Telephone | 01206 872719 |
| Study type | Taught |
MSc
Summary
Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – 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 Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – 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 Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – 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 |
Postgraduate Diploma - PgDip
Summary
Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 8400 GBP for Year 1 |
|---|---|
| Northern Ireland | 8400 GBP for Year 1 |
| Scotland | 8400 GBP for Year 1 |
| Wales | 8400 GBP for Year 1 |
| Channel Islands | 8400 GBP for Year 1 |
| Republic of Ireland | 8400 GBP for Year 1 |
| EU | 18200 GBP for Year 1 |
| International | 18200 GBP for Year 1 |
Summary
Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 8000 GBP for Year 1 |
|---|---|
| Northern Ireland | 8000 GBP for Year 1 |
| Scotland | 8000 GBP for Year 1 |
| Wales | 8000 GBP for Year 1 |
| Channel Islands | 8000 GBP for Year 1 |
| Republic of Ireland | 8000 GBP for Year 1 |
| EU | 17360 GBP for Year 1 |
| International | 17360 GBP for Year 1 |
Summary
Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
We are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
- Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
- We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
- We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
- Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
- Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
- We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk |
| Location | Colchester Campus University of Essex Wivenhoe Park Colchester CO4 3SQ |
Fees
| England | 7728 GBP for Year 1 |
|---|---|
| Northern Ireland | 7728 GBP for Year 1 |
| Scotland | 7728 GBP for Year 1 |
| Wales | 7728 GBP for Year 1 |
| Channel Islands | 7728 GBP for Year 1 |
| EU | 16560 GBP for Year 1 |
| International | 16560 GBP for Year 1 |
| Republic of Ireland | 16560 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 …
View ProfileNot what you are looking for?
Browse other courses in Applied statistics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here
