Overview
Enhance your knowledge and expertise in computer science or electronics, and address the challenges in the industry where machine learning techniques are being used increasingly in a wide number of applications. This course is supported by Intel’s AI Academy through its online and data processing resources.
Additional Descriptions
Artificial intelligence and machine learning is a growing industry worldwide. Societies are adapting to the new technology landscape, becoming more flexible, and also inheriting an attitude of lifelong learning, collaboration, innovation, and entrepreneurship.
Using a range of skills from data science, to programming and hardware architectures that allow suitable artificial intelligence solutions to be produced and implemented, this course focuses on up-to-date theoretical and practical developments within machine learning, neural networks, signal processing, and remote sensing and how these occur in the intelligent systems. It also allows you to become acquainted with current developments in artificial intelligence, and be able to apply your skills in intelligent system design and development.
You will be trained in subjects that address the challenges of the current industry, studying modules that focus on data acquisition technologies and data processing techniques, including the development of AI systems, allowing you to become acquainted with digital signal processing, remote sensing, and the Internet of Things platforms, learning to program processors produced by ARM Ltd, a major player in the world of microelectronic component software/hardware design, based in Cambridge.
You will also explore neural networks and artificial networks, deep learning in Python using Scikit-learn, machine learning models, and model evaluation using performance matrices, parametric and non-parametric algorithms, or decision trees. Develop fundamental methods and algorithms that enable intelligent systems to interact with their environment through feedback, autonomously learn from data, and interconnect with each other to form collaborative networks, turning mathematical and theoretical insight into enhanced autonomy and performance of real-world physical systems. The practical skills gained help to prepare you for jobs related to intelligent systems and machine learning.
CareersIn most cases, artificial intelligence will have a supportive role to empower the human factor to perform better in handling complex and critical situations which require judgment and creative thinking.
Employment opportunities exist in vast areas and postgraduates typically follow careers in internet businesses, financial services, control systems, software engineering, mobile communications, programming, and many more.
Your faculty
The Faculty of Science & Engineering is one of the largest of the four faculties at Anglia Ruskin University. Whether you choose to study with us full-time or part-time, on-campus or at a distance, there’s an option whatever your level – from a foundation degree, BSc, MSc, Ph.D. or professional doctorate.
Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.
Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science, technology, and engineering fields. This is key to all of our futures.

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