Applied Artificial Intelligence for Engineering, MSc

Program Overview

Applied Artificial Intelligence for Engineering, MSc

Overview

Develop your thinking and creativity as we search for the next big step in electronics. This Master's in Applied Artificial Intelligence for Engineering builds on the concepts of artificial intelligence and machine learning by creating new systems to provide intelligence. By developing new processing methods and data representations, we aim to establish the next big step in computing.

Course Content

• 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)
• Academic English for Postgraduates (Engineering)

Entry Requirements

• UK citizens and permanent residents: An undergraduate (honours) degree at 2:2, or above, in a relevant Engineering subject (Electronics, Computing, Networking, Electrical, Electronic, Robotics, Cybernetics, Intelligent Systems).
• International entry requirements: The University of Greenwich accepts a broad range of international qualifications for admission to our courses.

Fees and Funding

• Home: £11,325 (full-time), £1,887 per 30 credits (part-time)
• International: £18,700 (full-time), £3,117 per 30 credits (part-time)

Careers and Placements

• Graduates will find employment opportunities as futurologists, engineers, scientists and technical managers in the private sector, public sector, and as entrepreneurs.
• 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.

Support and Advice

• Academic skills and study support: The course leader has the overall responsibility for your course and will be your first point of contact.
• Support from the department: We help new students over the first few weeks with our faculty and department induction.

Location and Duration

• Location: Medway Campus
• Duration: 1 year (full-time), 2 years (part-time)
• Start month: September, January

Accreditation

• Accredited by the Institution of Engineering and Technology
• Accredited by the Engineering Council

Research Areas

• Artificial Intelligence
• Machine Learning
• Intelligent Systems
• Robotics
• Cybernetics
• Electronics
• Computing
• Networking
• Electrical Engineering
• Electronic Engineering

Teaching and Learning

• We use different teaching approaches to give you a varied experience, including lectures, interactive paper-led discussions and exercises to encourage creative thinking.
• Our 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.

Assessment

• Students will be assessed through a variety of methods, such as:
  • 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

Feedback

• University policy is to give feedback on assignments within 15 working days of the coursework submission date.
• Examination results will be available within 28 days.

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 |