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City, University of London: Artificial Intelligence
| Institution | City, University of London View institution profile |
|---|---|
| Department | Department of Computer Science View department profile |
| Web | https://www.city.ac.uk |
| Study type | Taught |
Summary
This programme is for recent graduates, and those already working, with a strong grounding in mathematics, good imagination and creativity and an appreciation for data. The MSc also requires programming experience, preferably, but not limited to, Java, C++ or Python.
You will need to have a degree in mathematics, engineering or computer science, or a degree in natural sciences, including psychology. You must also be able to envisage and create models and algorithms so you can work with data to find out what it means and says.
Our focus is on the most commercially applicable form of AI, known as Deep Learning - developing adaptable artificial neural networks (ANNs) that replicate how the brain works. You also explore the wider issues of ethics, accountability and trust that surround AI and how "Explainable AI" is used to interpret the functioning of complex ANNs.
The course is hands-on, using the new world-class City AI Lab, which provides the latest computers, tools and technologies, and the GPU power needed for Deep Learning. Here, as part of your project work and in preparation for employment or future research, students work on how to apply AI to real-world problems, with active researchers in AI.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | The programme is designed for those who have completed a first (or upper second class) degree in science and technology subjects including computer science, mathematics, physics, engineering, psychology or biology. You must have competence in at least one object-oriented programming language (preferably Python, but Java or C++ are also adequate) and mathematics (linear algebra and calculus, in particular). |
| Location | Northampton Square Finsbury Islington EC1V 0HB |
Fees
| England | 10920 GBP for Whole course |
|---|---|
| Northern Ireland | 10920 GBP for Whole course |
| Scotland | 10920 GBP for Whole course |
| Wales | 10920 GBP for Whole course |
| EU | 21850 GBP for Whole course |
| International | 21850 GBP for Whole course |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | The programme is designed for those who have completed a first (or upper second class) degree in science and technology subjects including computer science, mathematics, physics, engineering, psychology or biology. You must have competence in at least one object-oriented programming language (preferably Python, but Java or C++ are also adequate) and mathematics (linear algebra and calculus, in particular). |
| Location | Northampton Square Finsbury Islington EC1V 0HB |
Fees
| EU | 20810 GBP for Whole course |
|---|---|
| England | 10400 GBP for Whole course |
| Northern Ireland | 10400 GBP for Whole course |
| Scotland | 10400 GBP for Whole course |
| Wales | 10400 GBP for Whole course |
| International | 20810 GBP for Whole course |
A diverse, inclusive and multidisciplinary centre of study and cutting-edge research, in an unrivalled central London location.
The School of Science & Technology at City provides a first class education experience with state-of-the-art research facilities, in a thriving and vibrant London location.
The School’s academic experts are leaders in their fields, and through our academic research centres we influence, inspire and produce world-leading research in science and technology. This cutting-edge research directly informs the education our students receive.
Attracting gifted and highly motivated students from across the globe, we provide a friendly, diverse and stimulating learning environment which welcomes enquiring …
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