Manchester Metropolitan University: Applied Quantitative Methods
| Institution | Manchester Metropolitan University View institution profile |
|---|---|
| Department | Sociology and Criminology View department profile |
| Web | https://www2.mmu.ac.uk/hlss/ |
| courses@mmu.ac.uk | |
| Telephone | 0161 247 6969 |
| Study type | Taught |
MSc
Summary
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way. Right now, there is a demand for graduates with quantitative skills, and it is a demand our students are equipped to meet. Students studying on this MSc will be ready to pursue a career involving quantitative research skills within a diverse range of organisations. Students will also be prepared for doctoral study, which requires advanced skills on quantitative methods recognised by the Economic and Social Research Council (ESRC) and other research councils.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within real world contexts and a key aim is to develop graduates' career-ready skills in this field.
This course also offers a unique opportunity to develop specialism in key research fields informed by the specialisms within the various centres within the Department. All of these specialisms can be taken with the addition of a placement year.
Depending on your individual programme of study you will either graduate with:
- MSc Applied Quantitative Methods
- MSc Applied Quantitative Methods (Impact Evaluation)
- MSc Applied Quantitative Methods (Big Data Analytics)
- MSc Applied Quantitative Methods (Longitudinal Data Modelling)
- MSc Applied Quantitative Methods (Participatory and Creative Research)
**Features and Benefits**
- Teaching Excellence: This MSc is based in the Manchester Met Q-Step Centre, which has been recognised nationally as a centre for excellence in the teaching and training of quantitative methods. It has pioneered a range of innovative approaches to the teaching of quantitative methods (QM) and all its staff are active QM researchers.
- Upskilling Opportunity: If you are new to QM this is the course for you, as it is designed for entrants who have no previous knowledge of QM. Through studying the foundations of Quantitative Methods, you will go from no quantitative skills to being able to do a simple regression in two weeks. This MSc also offers the opportunity to upskill your quantitative skills by studying individual units as short courses/CPD, with or without credit. Therefore, it has the flexibility to cater for those who do not need to study the whole course but wish to gain the necessary quantitative skills as they are needed.
- Career-focused: this course looks outwards to the workplace and prepares you for a range of careers using QM. Through completion of a successful application students have the opportunity to do a research placement with one of our external partners. Also, if you choose to, you have the opportunity to develop an understanding of core data management skills required by data scientists.
- Specialisation: this course offers specialist training in QM, including multi-level modelling, multiple regression, impact evaluation, longitudinal data modelling and big data analysis. This course allows you to develop research specialism by conducting your dissertation on a specialised research field connected to core research centres in the department.
- Research informed teaching: The course is taught by a group of staff who are active researchers. They are involved in a number of large national and international research projects funded by key funding agencies including European Commission, Economic and Social Research Council, Nuffield Foundation, Department for Education.
- Work-based data-driven learning opportunities: Data-driven decision and policymaking are becoming core principles of businesses in the UK and global context. This sector is growing fast and it requires employees with quants skill sets. Through a placement, you will get opportunities to work with real life data and learn valuable experience on how businesses make decision based on data.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will usually have an upper second class UK honours degree (or international equivalent), preferably in a social science or humanities field of study. Candidates with a lower second class degree should apply and will be considered on their merits as will people with non-traditional qualifications. Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. |
| Location | Main Site Academic Division Oxford Road All Saints Manchester M15 6BH |
Summary
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way. Right now, there is a demand for graduates with quantitative skills, and it is a demand our students are equipped to meet. Students studying on this MSc will be ready to pursue a career involving quantitative research skills within a diverse range of organisations. Students will also be prepared for doctoral study, which requires advanced skills on quantitative methods recognised by the Economic and Social Research Council (ESRC) and other research councils.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within real world contexts and a key aim is to develop graduates' career-ready skills in this field.
This course also offers a unique opportunity to develop specialism in key research fields informed by the specialisms within the various centres within the Department. All of these specialisms can be taken with the addition of a placement year.
Depending on your individual programme of study you will either graduate with:
- MSc Applied Quantitative Methods
- MSc Applied Quantitative Methods (Impact Evaluation)
- MSc Applied Quantitative Methods (Big Data Analytics)
- MSc Applied Quantitative Methods (Longitudinal Data Modelling)
- MSc Applied Quantitative Methods (Participatory and Creative Research)
**Features and Benefits**
- Teaching Excellence: This MSc is based in the Manchester Met Q-Step Centre, which has been recognised nationally as a centre for excellence in the teaching and training of quantitative methods. It has pioneered a range of innovative approaches to the teaching of quantitative methods (QM) and all its staff are active QM researchers.
- Upskilling Opportunity: If you are new to QM this is the course for you, as it is designed for entrants who have no previous knowledge of QM. Through studying the foundations of Quantitative Methods, you will go from no quantitative skills to being able to do a simple regression in two weeks. This MSc also offers the opportunity to upskill your quantitative skills by studying individual units as short courses/CPD, with or without credit. Therefore, it has the flexibility to cater for those who do not need to study the whole course but wish to gain the necessary quantitative skills as they are needed.
- Career-focused: this course looks outwards to the workplace and prepares you for a range of careers using QM. Through completion of a successful application students have the opportunity to do a research placement with one of our external partners. Also, if you choose to, you have the opportunity to develop an understanding of core data management skills required by data scientists.
- Specialisation: this course offers specialist training in QM, including multi-level modelling, multiple regression, impact evaluation, longitudinal data modelling and big data analysis. This course allows you to develop research specialism by conducting your dissertation on a specialised research field connected to core research centres in the department.
- Research informed teaching: The course is taught by a group of staff who are active researchers. They are involved in a number of large national and international research projects funded by key funding agencies including European Commission, Economic and Social Research Council, Nuffield Foundation, Department for Education.
- Work-based data-driven learning opportunities: Data-driven decision and policymaking are becoming core principles of businesses in the UK and global context. This sector is growing fast and it requires employees with quants skill sets. Through a placement, you will get opportunities to work with real life data and learn valuable experience on how businesses make decision based on data.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will usually have an upper second class UK honours degree (or international equivalent), preferably in a social science or humanities field of study. Candidates with a lower second class degree should apply and will be considered on their merits as will people with non-traditional qualifications. Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. |
| Location | Main Site Academic Division Oxford Road All Saints Manchester M15 6BH |
Summary
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way. Right now, there is a demand for graduates with quantitative skills, and it is a demand our students are equipped to meet. Students studying on this MSc will be ready to pursue a career involving quantitative research skills within a diverse range of organisations. Students will also be prepared for doctoral study, which requires advanced skills on quantitative methods recognised by the Economic and Social Research Council (ESRC) and other research councils.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within real world contexts and a key aim is to develop graduates' career-ready skills in this field.
This course also offers a unique opportunity to develop specialism in key research fields informed by the specialisms within the various centres within the Department. All of these specialisms can be taken with the addition of a placement year.
Depending on your individual programme of study you will either graduate with:
- MSc Applied Quantitative Methods
- MSc Applied Quantitative Methods (Impact Evaluation)
- MSc Applied Quantitative Methods (Big Data Analytics)
- MSc Applied Quantitative Methods (Longitudinal Data Modelling)
- MSc Applied Quantitative Methods (Participatory and Creative Research)
**Features and Benefits**
- Teaching Excellence: This MSc is based in the Manchester Met Q-Step Centre, which has been recognised nationally as a centre for excellence in the teaching and training of quantitative methods. It has pioneered a range of innovative approaches to the teaching of quantitative methods (QM) and all its staff are active QM researchers.
- Upskilling Opportunity: If you are new to QM this is the course for you, as it is designed for entrants who have no previous knowledge of QM. Through studying the foundations of Quantitative Methods, you will go from no quantitative skills to being able to do a simple regression in two weeks. This MSc also offers the opportunity to upskill your quantitative skills by studying individual units as short courses/CPD, with or without credit. Therefore, it has the flexibility to cater for those who do not need to study the whole course but wish to gain the necessary quantitative skills as they are needed.
- Career-focused: this course looks outwards to the workplace and prepares you for a range of careers using QM. Through completion of a successful application students have the opportunity to do a research placement with one of our external partners. Also, if you choose to, you have the opportunity to develop an understanding of core data management skills required by data scientists.
- Specialisation: this course offers specialist training in QM, including multi-level modelling, multiple regression, impact evaluation, longitudinal data modelling and big data analysis. This course allows you to develop research specialism by conducting your dissertation on a specialised research field connected to core research centres in the department.
- Research informed teaching: The course is taught by a group of staff who are active researchers. They are involved in a number of large national and international research projects funded by key funding agencies including European Commission, Economic and Social Research Council, Nuffield Foundation, Department for Education.
- Work-based data-driven learning opportunities: Data-driven decision and policymaking are becoming core principles of businesses in the UK and global context. This sector is growing fast and it requires employees with quants skill sets. Through a placement, you will get opportunities to work with real life data and learn valuable experience on how businesses make decision based on data.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will usually have an upper second class UK honours degree (or international equivalent), preferably in a social science or humanities field of study. Candidates with a lower second class degree should apply and will be considered on their merits as will people with non-traditional qualifications. Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. |
| Location | Main Site Academic Division Oxford Road All Saints Manchester M15 6BH |
Summary
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within real world contexts and a key aim is to develop graduates' career-ready skills in this field.
**Features and Benefits**
- Teaching Excellence: This MSc is based in the Manchester Met Q-Step Centre, which has been recognised nationally as a centre for excellence in the teaching and training of quantitative methods. It has pioneered a range of innovative approaches to the teaching of quantitative methods (QM) and all its staff are active QM researchers.
- Upskilling Opportunity: If you are new to QM this is the course for you, as it is designed for entrants who have no previous knowledge of QM. Through studying its intensive Foundations unit you will go from no quantitative skills to being able to do a simple regression in two weeks.
- Career-focused: this course looks outwards to the workplace and prepares you for a range of careers using QM. All students have the opportunity to do a research placement with one of our external partners. There is a bespoke Statistics in Practice unit, which focuses on developing career-readiness, including media training, impact planning and CV building. The Data Management unit upskills students in the core data management skills required by data scientists, including, the ability to work between software (Excel, Access and SPSS), DM and project planning, and report writing.
- Specialisation: this course offers specialist training in QM, including Multi-Level Modelling, Multiple Regression and Evaluation.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will usually have an upper second class UK honours degree (or international equivalent), preferably in a social science or humanities field of study. Candidates with a lower second class degree should apply and will be considered on their merits as will people with non-traditional qualifications. Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. |
| Location | Main Site Academic Division Oxford Road All Saints Manchester M15 6BH |
Summary
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within real world contexts and a key aim is to develop graduates' career-ready skills in this field.
**Features and Benefits**
- Teaching Excellence: This MSc is based in the Manchester Met Q-Step Centre, which has been recognised nationally as a centre for excellence in the teaching and training of quantitative methods. It has pioneered a range of innovative approaches to the teaching of quantitative methods (QM) and all its staff are active QM researchers.
- Upskilling Opportunity: If you are new to QM this is the course for you, as it is designed for entrants who have no previous knowledge of QM. Through studying its intensive Foundations unit you will go from no quantitative skills to being able to do a simple regression in two weeks.
- Career-focused: this course looks outwards to the workplace and prepares you for a range of careers using QM. All students have the opportunity to do a research placement with one of our external partners. There is a bespoke Statistics in Practice unit, which focuses on developing career-readiness, including media training, impact planning and CV building. The Data Management unit upskills students in the core data management skills required by data scientists, including, the ability to work between software (Excel, Access and SPSS), DM and project planning, and report writing.
- Specialisation: this course offers specialist training in QM, including Multi-Level Modelling, Multiple Regression and Evaluation.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will usually have an upper second class UK honours degree (or international equivalent), preferably in a social science or humanities field of study. Candidates with a lower second class degree should apply and will be considered on their merits as will people with non-traditional qualifications. Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. |
| Location | Main Site Academic Division Oxford Road All Saints Manchester M15 6BH |
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