Greenwich's Master's in Machine Intelligence builds on the concepts of artificial intelligence and machine learning by creating new systems to create and develop true human intelligence. By considering new processing methods and data representations, the University prepares learners for the next big step in computing.
This course considers what lies behind current technologies (e.g. AlphaZero, Siri, Alexa) and equips students to think beyond them. It will help learners to analyze the needs for future technologies while also being able to create and shape them.
On this course, students will benefit from a highly motivated intellectual environment with research-active tutors and like-minded peers while engaging with cutting-edge technologies. It time for students to immerse themselves in innovative and pioneering approaches to the field and become an expert in thinking differently and applying their understanding to real-world problems!
Lectures are delivered by members of the School of Engineering who have the relevant globally recognised specialism within the respective field. Guest speakers bring additional perspectives from industry or research and keep students updated with the latest industry standards in their discipline.
Greenwich uses different teaching approaches to give students a varied experience. This includes lectures, interactive paper-led discussions and exercises to encourage creative thinking. The taught modules are informed by research and the theory of each topic is accompanied by practical elements covering paper-based, computer-based and hands-on building type challenges.
This Machine Intelligence programme is designed to give students the space for exploratory and independent study. They'll work towards individual and group assignments and undertake the preparation or follow-up work associated with lectures, seminars, integrative assignments and laboratory classes. Moreover, learners can take advantage of a range of extra-curricular opportunities available within the university and elsewhere.
Graduates will find employment opportunities as futurologists, engineers, scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar), in the public sector (local government, town and country planning), and as an entrepreneur. They may also wish to pursue further qualifications, such as a PhD, to become even more specialized.
City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future-orientated intelligent systems engineers that graduate from this course.
| Level | Masters |
| Discipline | Engineering |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 16300 |
| Campus | Medway |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 87 |
| PTE | 76 |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 60%
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