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Liverpool Hope University: Data Science
| Institution | Liverpool Hope University View institution profile |
|---|---|
| Department | Department of Mathematics and Computer Science |
| Web | http://www.hope.ac.uk/postgraduate/ |
| Study type | Taught |
MSc
Summary
Almost every communication or interaction that takes place in the world today involves a digital interface, whether this is a computer, a laptop, a mobile phone, a smartcard, a camera or a sensor. These interactions are stored as data which can be mined to make better decisions, systems and research.
Recent advances in computational power, machine intelligence and the massive growth of sources of data has led to the development of a new area study: Data Science.
We are no longer looking machine parts or airlines, or stocks and shares data; we are looking at data about people and the world they inhabit. Jake Porway (Executive Director of DataKind) says: "A data scientist is a rare hybrid, a computer scientist with the programming abilities to build software to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. S/he combines the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data and what secrets it". This programme is designed for such people.
This course is built around the strong skill base of experts in the Mathematics and Computer Science department and to illustrate how new technologies, cutting edge research and novel scientific perspectives can be used together to influence future society in significant and fundamental ways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a First Class or Upper Second Class Honours Degree in Data Science, Computer Science, Computing, Science, or engineering-based discipline. Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) may be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made. |
| Location | Hope Park Hope Park Liverpool L16 9JD |
Summary
Almost every communication or interaction that takes place in the world today involves a digital interface, whether this is a computer, a laptop, a mobile phone, a smartcard, a camera or a sensor. These interactions are stored as data which can be mined to make better decisions, systems and research.
Recent advances in computational power, machine intelligence and the massive growth of sources of data has led to the development of a new area study: Data Science.
We are no longer looking machine parts or airlines, or stocks and shares data; we are looking at data about people and the world they inhabit. Jake Porway (Executive Director of DataKind) says: "A data scientist is a rare hybrid, a computer scientist with the programming abilities to build software to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. S/he combines the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data and what secrets it". This programme is designed for such people.
This course is built around the strong skill base of experts in the Mathematics and Computer Science department and to illustrate how new technologies, cutting edge research and novel scientific perspectives can be used together to influence future society in significant and fundamental ways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a First Class or Upper Second Class Honours Degree in Data Science, Computer Science, Computing, Science, or engineering-based discipline. Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) may be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made. |
| Location | Hope Park Hope Park Liverpool L16 9JD |
Summary
Almost every communication or interaction that takes place in the world today involves a **digital interface**, whether this is a computer, a laptop, a mobile phone, a smartcard, a camera or a sensor. All of the information form these myriad of these interactions is stored as data. All of this data can be mined to make better decisions, to make better systems, to do better research. Recent advances in computational power, machine intelligence and the massive growth of sources of data has led to the development of a new area study: **Data Science.**
This Data Science (DS) MSc programme is the **evolution of the MSc Advanced Computer Science** and is built around the strong skill base of experts in the Mathematics and Computer Science department. The **programme has been built illustrate how new technologies**, cutting edge research and novel scientific perspectives **can be used together to influence future society** in significant and fundamental ways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a First Class or Upper Second Class Honours Degree in Data Science, Computer Science, Computing, Science, or engineering-based discipline. Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) may be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made. |
| Location | Hope Park Hope Park Liverpool L16 9JD |
Summary
Almost every communication or interaction that takes place in the world today involves a **digital interface**, whether this is a computer, a laptop, a mobile phone, a smartcard, a camera or a sensor. All of the information form these myriad of these interactions is stored as data. All of this data can be mined to make better decisions, to make better systems, to do better research. Recent advances in computational power, machine intelligence and the massive growth of sources of data has led to the development of a new area study: **Data Science.**
This Data Science (DS) MSc programme is the **evolution of the MSc Advanced Computer Science** and is built around the strong skill base of experts in the Mathematics and Computer Science department. The **programme has been built illustrate how new technologies**, cutting edge research and novel scientific perspectives **can be used together to influence future society** in significant and fundamental ways.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a First Class or Upper Second Class Honours Degree in Data Science, Computer Science, Computing, Science, or engineering-based discipline. Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) may be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made. |
| Location | Hope Park Hope Park Liverpool L16 9JD |
Liverpool Hope University
Overview
Students at Liverpool Hope University have the best of both worlds; living and studying on friendly, beautiful campuses while also having the advantage of being a bus ride away from one of Europe’s most vibrant and culturally rich cities.
Dating back to 1844, our students always benefit from a high quality teaching and research environment. In 2018, we were proud to be awarded Gold in the Government’s Teaching Excellence Framework (TEF).
Over the last eight years, we have invested more than £60 million in new university buildings and facilities to support the creation of an enriched …
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