MSc Artificial Intelligence Full-time 2024 Sheffield Hallam University
The placement fee published is for the relevant academic year stated in the table. This fee is subject to annual increases but will not increase by more than the fee caps as prescribed by the Office for Students or such other replacing body. As you progress through your degree, you’ll learn to navigate, explore and apply artificial intelligence engineer degree these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge. This module is designed as an introduction to some of the central concepts and tools used in Data Science. As such it includes discussions on data capture, maintenance, processing, analysis and communication.
Large multinational technology companies may offer the best prospects for career progression and the highest salaries. Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students. You will gain experience in web-based technologies that enable the implementation of multi-layered and interactive information visualisations, supported through lab work that introduces specific features of these technologies.
Career of the month: Artificial Intelligence Engineer
We’ve created this MSc to give you the skills you’ll need to work with big data, deep learning and techniques for creating powerful autonomous systems. Our MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background. This course will introduce and investigate a number of legal and ethical issues around the ethics of technology, particularly around the ethics of artificial intelligence. We will address questions such as the moral status of artificial agents; the difference, if any, between human rights and artificial rights, problems of data bias.
- Develop your personal and professional skills and reflect on these during your placement.
- With each module acting as a building block that allows you to work towards a themed research project.
- We may accept your English language grade from the Austrian Matura/Reifeprüfung if you achieved 2/5 (gut) in English (both written and oral examinations).
The module will draw directly on practical issues of budgeting, raising finance, assessing financial risks and making financial decisions in the context of engineering projects and/or product development. Through a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on engineering practice. There will be https://www.metadialog.com/ a heavy emphasis on group working, report writing and presentation as part of the assessment supplemented by online exercises and an individual portfolio. The robotics industry is wide and rapidly growing due to the large number of robotic systems and application areas. This has created a need for engineers with the required skills related to robot and robotic system design and development.
How You’ll Study
As the potential of AI as a technology has grown, so too have the career prospects. As a graduate in Artificial Intelligence, you’ll be ideally placed to meet the demand for numerate and skilled scientists and engineers in the field. This masters degree in artificial intelligence is also available with a foundation year, or industrial studies – an opportunity to go on a 1-year placement in industry. Demonstrate project management and time management skills including working to deadlines and planning your work beyond the next deadline. This module presents a broad overview of microsensor technologies, including the basic principles of measurement systems and the scaling effects arising from system miniaturisation.
You can progress onto a range of postgraduate studies, including (but not limited to) an MSc in disciplines concerning Computer Science, Artificial Intelligence, Data Science, Software Engineering, and Computer Games. You will learn of range of skills which will be key to enhancing your future artificial intelligence engineer degree employability. These topics are highly practical and underpin the roles of Software Developers, Computer Programmers and Machine Learning Engineers in industry. You will undertake a major project involving research and application of that research in the solution of systems-related problems.
Does AI require coding?
The first skill required to become an AI engineer is programming. To become well-versed in AI, it's crucial to learn programming languages, such as Python, R, Java, and C++ to build and implement models.