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Students
Tuition Fee
GBP 18,150
Per year
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 18,150
Intakes
Program start dateApplication deadline
2024-09-01-
2025-01-01-
About Program

Program Overview


The University of Greenwich's MSc in Applied Artificial Intelligence for Engineering equips students to create and shape intelligent systems. This Master's program explores advanced technologies and prepares graduates for careers in engineering, research, and beyond. Emphasizing innovation and real-world problem-solving, the curriculum features hands-on projects and research-active tutors.

Program Outline


Applied Artificial Intelligence for Engineering, MSc - University of Greenwich


Degree Overview:

This Master's in Applied Artificial Intelligence for Engineering builds upon the concepts of artificial intelligence and machine learning by creating new systems to provide intelligence. The program aims to establish the next big step in computing by developing new processing methods and data representations. It explores the technologies behind current advancements like AlphaZero, Siri, and Alexa, equipping students to think beyond them and analyze the needs for future technologies. The program emphasizes the creation and shaping of these future technologies, offering a highly motivated intellectual environment with research-active tutors and like-minded peers. Students will be immersed in innovative and pioneering approaches to the field, becoming highly skilled in applying their understanding to present and future real-world problems.


Outline:


Full-time:

  • Year 1:
  • Developing, Funding and Commercialising Technology (15 credits)
  • Design of Advanced Electronic Systems (15 credits)
  • Machine Sensing (15 credits)
  • Intelligent Distributed Systems (15 credits)
  • Individual Research Project (60 credits)
  • Machine Intelligence (15 credits)
  • Research, Planning and Communication (15 credits)
  • Human & Machine Robotics (15 credits)
  • Securing Technologies (15 credits)
  • Year 2: (Part-time only)
  • Intelligent Distributed Systems (15 credits)
  • Individual Research Project (60 credits)
  • Machine Intelligence (15 credits)
  • Research, Planning and Communication (15 credits)
  • Securing Technologies (15 credits)

Part-time:

  • Year 1:
  • Developing, Funding and Commercialising Technology (15 credits)
  • Design of Advanced Electronic Systems (15 credits)
  • Machine Sensing (15 credits)
  • Human & Machine Robotics (15 credits)
  • Year 2:
  • Intelligent Distributed Systems (15 credits)
  • Individual Research Project (60 credits)
  • Machine Intelligence (15 credits)
  • Research, Planning and Communication (15 credits)
  • Securing Technologies (15 credits)

Assessment:

  • Classroom presentations, discussions, and case-studies
  • Critical reviews, looking at new areas of research
  • Design and build projects and creating the related documentation/reports
  • Examinations

Teaching:

  • Lectures
  • Interactive paper-led discussions and exercises
  • Practical elements covering paper-based, computer-based, and hands-on building type challenges
  • Guest speakers from industry or research

Careers:

  • Futurologists
  • Engineers
  • Scientists
  • Technical managers
  • Entrepreneurs
  • Positions in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies)
  • Positions in the public sector (local government, town and country planning)
  • Further qualifications, such as a PhD

Other:

  • The course is taught at the Medway Campus in Kent.
  • The program makes use of highly specialized equipment bought to support teaching and research.
  • Students will develop both technical and practical skills required for their careers.
  • The program encourages innovative approaches and thinking outside the box.
  • Designs will incorporate security necessities from the start, eliminating the need for later additions.
  • The program prepares students for current and future advancements in electronics and computing.
  • The course is accredited by the Institution of Engineering and Technology and the Engineering Council.

| Category | Fees | Currency | |---|---|---| | Home (Full-time) | £11,000 | GBP | | International (Full-time) | £18,150 | GBP | | Home (Part-time) | £1,850 per 30 credits | GBP | | International (Part-time) | £3,025 per 30 credits | GBP |

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Admission Requirements

Entry Requirements:

  • UK citizens and permanent residents:
  • An appropriate recognised Bachelor's degree (2:2 or above) in a relevant engineering discipline (electronics, computing, networking, electrical and electronic engineering, robotics, cybernetics, intelligent systems) or an equivalent qualification.
  • Students without a first degree but with professional and vocational experience (e.g.
  • relevant industrial experience, Incorporated Engineer, Chartered Engineer status) may be considered if they demonstrate the potential to succeed on the course.
  • International entry requirements:
  • Alternatively, please contact us:
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