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University of Gloucestershire: Data Science
| Institution | University of Gloucestershire |
|---|---|
| Department | School of Business, Computing and Social Sciences |
| Web | http://www.glos.ac.uk |
| enquiries@glos.ac.uk | |
| Telephone | 03330 141414 |
| Study type | Taught |
MSc
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
Study Style You’ll learn through practical work and assignments to understand mathematical foundations of statistics, data mining and machine learning. Some more traditional teaching will take place too, but always with a practical focus and tasks designed for you to apply your learning. You’ll start out with the basics, before progressing towards the answers to questions you didn’t know you had.
As you learn you’ll be working with industry-standard software and hardware in our specialist labs – alongside students and subject specialists from both creative and technical computing backgrounds – giving you huge opportunities to build networks with the sector-leaders of the future.
With guidance from industry experts, you’ll put your skills to the test using real-world data to analyse trends in social media, make financial predictions, and extract musical information from audio files.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 17950 GBP for Year 1 |
|---|---|
| England | 11175 GBP for Year 1 |
| Northern Ireland | 11175 GBP for Year 1 |
| Scotland | 11175 GBP for Year 1 |
| Wales | 11175 GBP for Year 1 |
| International | 17950 GBP for Year 1 |
Summary
Data science is a growing sector, with the potential to change the way we live in the future by solving or offering insights into many of the largest problems of today.
On this exciting and dynamic course, you’ll learn the necessary programming and mathematics skills to apply these technologies to solve the real-world problems relevant to your existing knowledge and expertise.
You will learn to create intelligent models which can; predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets. You will gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
As you learn you will be working with industry standard software and hardware in our specialist labs, alongside students and subject specialists from both creative and technical computing backgrounds, giving you huge opportunities to build networks with the sector-leaders of the future.
Various trips to conferences and events take place during the University year and offer further networking opportunities as well as providing a broader knowledge of the cutting edge of the data science field. There might also be the opportunity to showcase your skills and demonstrate your achievements.
Within the University we host our own events including hackathons, games jams, and industry-linked conferences, which will be free for students to attend.
This course is supported by the Office for Students, and it is possible to apply for a £10,000 scholarship to support your studies. This scholarship is intended to remove barriers for students from under-represented demographics in data science (including black, female and disabled students). More information can be found on the Office for Students website or you can contact us to chat to someone about your options.
For more information and to apply for the Data Science course, please visit the course page at www.glos.ac.uk/Postgraduate
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account. |
| Location | Park Campus - Cheltenham The Park Cheltenham GL50 2RH |
Fees
| EU | 15000 GBP for Year 1 |
|---|---|
| England | 9425 GBP for Year 1 |
| Northern Ireland | 9425 GBP for Year 1 |
| Scotland | 9425 GBP for Year 1 |
| Wales | 9425 GBP for Year 1 |
| International | 15000 GBP for Year 1 |
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