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University of Hull: MSc Artificial Intelligence for Geospatial Data Analysis
| Institution | University of Hull |
|---|---|
| Department | School of Mathematics and Physical Sciences |
| Web | http://www.hull.ac.uk |
| study@hull.ac.uk | |
| Telephone | 01482 466850 |
| Study type | Taught |
Summary
Geospatial analysis is being radically changed by embedding data science and data analytics into the discipline. Rather than a human being looking at data and images of the Earth, artificial intelligence is being increasingly deployed to automate tasks that humans cannot otherwise accomplish in any reasonable amount of time. Nationally, there is a widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists to meet the needs of industry. This course will equip you with the skills and professional insight needed to launch a career in this fast-growing sector.
As a conversion degree, you do not need a science background. And the knowledge you gain will help you build a portfolio that will launch you into the field of data science, acquiring highly sought after skills that will greatly enhance your career pathway. The programme will cover topics such as, programming, statistics, machine learning, data visualisation and computer vision and the ethical and legal responsibilities of using data. This geospatial data analysis variant will include bespoke modules covering the fundamentals of geo-information science and earth observation, and spatio-temporal big data analytics.
In the third semester, you will have the opportunity to choose or design their own research project in a disciplinary area which may relate to their background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e. statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience. |
| Location | The University of Hull Cottingham Road Hull HU6 7RX |
Fees
| England | 12900 GBP for Whole course |
|---|---|
| Northern Ireland | 12900 GBP for Whole course |
| Scotland | 12900 GBP for Whole course |
| Wales | 12900 GBP for Whole course |
| Channel Islands | 12900 GBP for Whole course |
| Republic of Ireland | 12900 GBP for Whole course |
| EU | 18500 GBP for Whole course |
| International | 18500 GBP for Whole course |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e. statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience. |
| Location | The University of Hull Cottingham Road Hull HU6 7RX |
Fees
| England | 13800 GBP for Whole course |
|---|---|
| Northern Ireland | 13800 GBP for Whole course |
| Scotland | 13800 GBP for Whole course |
| Wales | 13800 GBP for Whole course |
| Channel Islands | 13800 GBP for Whole course |
| Republic of Ireland | 13800 GBP for Whole course |
| EU | 15000 GBP for Whole course |
| International | 15000 GBP for Whole course |
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