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Leeds Beckett University: Data Science
| Institution | Leeds Beckett University |
|---|---|
| Department | Computing, Creative Technologies and Engineering |
| Web | https://www.leedsbeckett.ac.uk |
| Study type | Taught |
MSc
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
**Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data.**
Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business.
As part of your course, you’ll:
- Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
- Explore techniques used to analyse data
- Discover how data can contribute to a company's business strategy
- Focus on the application of data science in a specific field such as health, education or fraud prevention
**Find out more**
In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace.
Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
**Industry expertise**
Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab.
Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
**Research-led teaching**
The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
**Why study Data Science at Leeds Beckett University...**
- Industry experience expert course team
- Part-time study option
- Guest lectures from industry professionals
- Research informed learning experience
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
Data and information is recognised as a central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
Whether you are already working and looking to enhance your expertise in the area of data science or you have recently graduated and want to move into roles specifically aligned with data science and analytics, this course will help you develop a comprehensive understanding of the role of data within business. You will study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently. You will also explore the techniques used to analyse data, discover how data can contribute to a company's business strategy and focus on the application of data science in a specific field such as health, education or fraud prevention.
Central to the course will be the themes of security, ethics, data governance and sustainability. You will graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
Summary
Data and information is recognised as a central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
Whether you are already working and looking to enhance your expertise in the area of data science or you have recently graduated and want to move into roles specifically aligned with data science and analytics, this course will help you develop a comprehensive understanding of the role of data within business. You will study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently. You will also explore the techniques used to analyse data, discover how data can contribute to a company's business strategy and focus on the application of data science in a specific field such as health, education or fraud prevention.
Central to the course will be the themes of security, ethics, data governance and sustainability. You will graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
| Level | RQF Level 7 |
|---|---|
| Location | Headingley Campus Beckett Park Headingley Leeds LS6 3QS |
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