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Maynooth University
Maynooth University
Course Code
MHJ20 MHJ21
Zone
Attendence
Full time

Course Summary

The Robotics and Embedded AI MSc will provide graduates in computing, engineering, and cognate disciplines with specialised training in the design and control of intelligent machines.

College Link

Maynooth University
College Link > MHJ20 MHJ21 - Robotics & Embedded AI

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

Candidates should have a minimum 2.1 grade honours (level 8) degree in a cognate discipline such as Engineering, Computer Science, Physics or Maths or their international equivalent.

Candidates with a minimum 2.2 grade honours (level 8) degree in any discipline who can demonstrate at least five years of experience in software, embedded systems, or firmware development will also be considered.

In exceptional circumstances, consideration will be given to candidates who do not hold a primary degree but have at least 10 years of relevant work experience in a software development, embedded systems or firmware role.

Candidates will provide evidence of proficiency in a high-level computer language of their choice.

Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.

Minimum English language requirements: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non- EU applicants.

Maynooth University's TOEFL code is 8850.

Application Details

Closing Date : 30 June 2024

Commences: TBC

Apply Here

Fees

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Realist

Realists are usually interested in 'things' - such as buildings, mechanics, equipment, tools, electronics etc. Their primary focus is dealing with these - as in building, fixing, operating or designing them. Involvement in these areas leads to high manual skills, or a fine aptitude for practical design - as found in the various forms of engineering.

Realists like to find practical solutions to problems using tools, technology and skilled work. Realists usually prefer to be active in their work environment, often do most of their work alone, and enjoy taking decisive action with a minimum amount of discussion and paperwork.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.

Linguistic

The Linguistic's interests are usually focused on ideas and information exchange. They tend to like reading a lot, and enjoy discussion about what has been said. Some will want to write about their own ideas and may follow a path towards journalism, story writing or editing. Others will develop skills in other languages, perhaps finding work as a translator or interpreter. Most Linguistic types will enjoy the opportunity to teach or instruct people in a topic they are interested in.

Career Progression

Completing a master's program in Robotics and Embedded AI opens the door to compelling career opportunities. Graduates can pursue roles as Robotics Engineers, specializing in designing and maintaining robotic systems, or as AI Engineers, focusing on developing AI algorithms for robotic applications. They may also become Embedded Systems Developers, working on the software and hardware that control robotic devices and IoT systems, or Automation Engineers, automating processes in various industries. Research positions, either in academia or industry, offer the chance to contribute to advancing robotics and AI technologies.

Alternatively, graduates can enter product development, software development, data science, or autonomous vehicle engineering. Entrepreneurial individuals may even start ventures in this rapidly evolving field, catering to various industries and applications. The possibilities are diverse and dynamic, driven by one's interests and expertise.

Duration

1 year full-time, 2 years part-time.

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