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, 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 |
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.
| 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.
| 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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