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Artificial Intelligence and Machine Learning MSc Postgraduate degree

University of Glasgow Undergraduate study 2024 Degree programmes AZ Robotics & Artificial Intelligence

artificial intelligence engineer degree

The M.Sc. Artificial Intelligence has been developed with a specific focus on employability. The industry internship provides students with the opportunity to fine tune their skills directly in the workplace and to gain valuable work experience. The primary goal of the new conversion courses is to respond to the shortage of Data Science and AI specialists in the UK. The Government's Digital Strategy predicted that within 20 years, 90 per cent of all jobs will require some element of digital skills.

The University of Aberdeen has over 30 years’ of experience, and a worldwide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Data and AI is one of five interdisciplinary research priorities for the University of Aberdeen and the department has strong links with the University's Centre for Data and Artificial Intelligence. This module provides a foundation for security consideration as required in the design of software expected to perform within a networked and data sharing environment.

Additional requirements

The above is a sample of the typical modules we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. Modules (including methods of assessment) may change or be updated, or modules may be cancelled, over the duration of the course due to a number of reasons such as curriculum developments or staffing changes. Lectures are the principal method of delivery for the concepts and principles involved in achieving the learning outcomes. You’ll also be directed to read from textbooks, academic papers and material available on-line. Understanding is reinforced by means of exercise classes, discussion groups, laboratories, assignments and project work. Specialist knowledge is further developed during supervision of your final-year project.

artificial intelligence engineer degree

This module will cover classical and modern knowledge engineering techniques including logic, ontology, knowledge graph, and uncertainty reasoning. You will develop fundamental skills, such as learning the powerful general-purpose programming language C++, and experience in-depth study of computer networks and systems. Using artificial intelligence code, you will learn how to control advanced mobile robots in our purpose-built laboratory.

International experience opportunities

The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of basic quantum mechanics and how the quantum mechanics are... This course covers some advanced techniques that have the potential for application in the future generations of wireless communications systems. Recently, the research and development in wireless communications have been focused on the techniques for the... This module covers the mathematics, techniques, and applications of modern cryptography. We will look at the history of code making and code breaking, and draw lessons for the future from the mistakes and successes of the past.

  • If you've received an offer to study with us, we'll invite you to one of our offer holder days, which take place between February and April.
  • A substantial practical element is integrated into the module to enable students to use a programming language (e.g. Python) to prepare data for analysis and develop data analytical applications.
  • Students will have undertaken an agreed number of hours on the activities, identified personal goals and targets in relation to these activities and maintained a reflective portfolio as a record of evidence of their competence and achievements.
  • Our goal is to help you become future engineers, leaders and researchers in intelligent robotics, AI, technology, engineering and finance.

As a machine learning engineer, working in this branch of artificial intelligence, you'll be responsible for creating programmes and algorithms that enable machines to take actions without being directed. An example of a system you may produce is a self-driving car or a customised newsfeed. This module looks broadly into professional ethics within the scope of the computing discipline. It covers a range of professional, ethical, social and legal issues in order to study the impact that computer systems have in society and the implications of this from the perspective of the computing profession.

Accreditation of Prior Learning

As part of the research, you will be expected to design, implement and evaluate a substantial piece of software or other product, which will embody the research question of your topic. You will document the research by writing a dissertation, covering the background of your topic, the approach you have adopted and its relation to previous work, the results you obtained and the conclusions which can be drawn from them. In this unit you’ll learn and discuss issues including, AI and social impact, trust, explainability, accountability, bias and risk within using AI systems, data governance and DPIA systems, case studies of autonomous and intelligence systems. If you choose to study part-time, you’ll complete all the units over two years. Part-time tuition fees will be prorated accordingly to the number of credits you're studying. Any previous relevant work experience and learning will be assessed and, where appropriate, we may offer an alternative way to assess suitability to study.

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For the past six years, she has been a Senior Lecturer in the University of Tirana, teaching different courses such as Big Data, Artificial Intelligence, and Data Mining. Mariam is Programme Leader of MSc Artificial Intelligence in the School of Computing and Digital Technology at Birmingham City University. She is also a researcher in the field of Data Mining/Data Analytics/Data Science.

You’ll examine current techniques for the extraction of useful information about a physical situation from individual and sets of images. You’ll examine the principles of 3D computer graphics, focusing on modelling the 3D world on the computer, projecting onto 2D display and rendering 2D display to give it realism. The module will introduce the concept of usability and will examine different design approaches and evaluation methods.

artificial intelligence engineer degree

Our Departmental Examinations Team is also available should you have any assessment queries. This allows you to practice different techniques, from report writing, presentations and live demos to timed programming assessments and closed exams. It also means that you are not disadvantaged by being assessed in any one way.

Degrees and UCAS codes

Use our website to find information about degrees and career paths from around the world and speak directly with admissions officers at the schools and universities that interest you. If you want to study for a degree in Engineering, Physics, Mathematics, or Geophysics but you did not choose mathematics and physics at A level, our Foundation artificial intelligence engineer degree Year may be of interest to you. The Engineering/Physics/Maths/Geophysics Foundation Year is a one-year full-time course integrated with a further three or four-year degree course. Our MEng Electronic Engineering with Artificial Intelligence will provide you with the skills to work in any area of the electronics industry.

Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems or comparing competing techniques or tools to solve a particular problem. Artificial Intelligence (AI) has been making headlines recently, with chatbot technologies such as ChatGPT and other advancements in automation and machine learning in healthcare, entertainment and customer service. This programme engages with all aspects of AI, from its fundamentals to the cutting-edge techniques revolutionising how we live, learn, work and socialise, to open up career opportunities in this dynamic, fast-moving field. The first half of the year involves the individual project placement, which could be an industrial or research project.

Do I need a computer science degree to be an AI engineer?

No, you don't need a degree to become an AI engineer. Increasingly, people are using professional certificate programs to learn the skills they need and prepare for interviews. Still, many companies require at least a bachelor's degree for entry-level jobs.

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