Computer Science Artificial Intelligence BSc Brunel University London

Enrolling in a master’s program after obtaining a bachelor’s degree can give students advanced knowledge in subjects that enhance their careers. This degree may qualify students as experts in their chosen fields and make them eligible for a wider selection of high-paying jobs than if they only have a bachelor’s degree.What is a Master in Artificial Intelligence? It is a program designed to give students a deeper understanding of technology and how to apply logic to create artificial intelligence.

You can use your second application for any other Science and Engineering programme. You will have the flexibility to focus on the areas of artificial intelligence that interest you most. Whatever you https://www.metadialog.com/ decide to specialise in, you will benefit from hands on learning using industry-standard facilities. The information on this page reflects the currently intended course structure and module details.

universities offer

This reflects the overlap it has with different fields, and the opportunity it provides to specialise in various areas. For instance, you can also pursue specific degrees in robotics and machine learning. In addition to your degree programme, at Queen’s you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more.

You will develop skills in defining, planning, delivering, and controlling engineering projects. You will also learn the roles and responsibilities of people within engineering projects and understand how to manage teams in engineering projects. Software development often involves the improvement and adaptation of ‘legacy systems’ – well-established, business-critical software systems that might have become difficult to maintain over time.

Annual tuition fees

The emphasis is placed on design of analogue functions specifically as part of… At the end of the year, you’ll complete a 3-week team ai engineering degree challenge, judged by an industry panel. Previous projects include the development of a home AI system and building a quadcopter.

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. This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures and capabilities. The module will place emphasis on modern system architecture and design, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust, in the development of Cloud-based IoT systems. Understanding of various Intelligent, wired and wireless technologies could be an advantage. The course operates on a modular basis with all of your study modules being worth 30 academic credits (our preferred size in order that you move rapidly from the basics to being an expert at the end of any module you study).

Topics will include algebra, reasoning and proof, set theory, functions, statistics and computer arithmetic. You may be taught through a combination of lectures, tutorials, seminars, group work, laboratory sessions, practical sessions and self-directed study. Our assessment practices reflect the best practices in teaching methods deployed by academic members of staff each year. Indicative assessment weighting and assessment type per module are shown as part of the module information.

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 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. In addition, graduates with knowledge of artificial intelligence and machine learning are become more sought after as more industries seek to introduce these techniques into their product lines, design and manufacturing processes.

University of Cambridge

You will have the opportunity to take a placement year between your second and third year. This is something that is highly recommended, as it will give you an invaluable opportunity to put your skills into practice, try out a potential career path and get relevant workplace experience that is valued by so many employers. At this level, you will be expected to work independently but you will receive additional one-to-one support from your supervisor, who will be familiar with your chosen topic area. As you progress on the module, extra support will be available and this may take the form of group seminars, workshops and online materials that will help to develop your project.

Due to unprecedented demand for our courses for the autumn 2023 intake, international admissions are now closed for this course. Any future intakes that are already open to applications can be found in the fees and key information section of this course page. Provide students with some selected advanced statistics topics including forecasting 3. Prepare students to carry on their own research and use modern statistical techniques as one of the tools for their research. To study a degree at London Met, you must be able to demonstrate proficiency in the English language.

However, many students choose to buy some of the core textbooks for the course and/or a laptop. We often link up with external professionals too, helping to enhance your learning and build valuable connections to the working world. The unit will cover concepts and implementation of key search strategies for problem solving in AI, including uninformed search, heuristics and informed search, search for optimisation, adversarial search, stochastic search, genetic algorithms. Furthermore, the unit will consider the application, testing and cross-comparison of these implementations in the context of simple one and two-player games. Our Industrial Liaison Office helps you to develop research partnerships and engage with our students. The huge amounts of data we now have access to only have value by extracting the knowledge and insights that come from it.

The first year equips you with a solid foundation in key topics in Computer Science and introduces artificial intelligence. Your practice is supported by presentations, seminar discussions of key topics and ideas, and collaborative practices with other ai engineering degree students in the school or faculty. After the first year, you will have covered a broad range of topics in Computer Science that will upskill you to understand the key industrial skills and prepare you to take advanced topics in the subsequent years.

As well as formal teaching you will be expected to undertake independent study. This module introduces the problems and techniques of analysing and testing software systems. The module covers how to statically analyse software and how to dynamically test it. The module will teach different techniques and tools to thoroughly test software systems, and will teach how to automate testing tasks, including test generation. Finally, the module will cover techniques to measure and assess aspects of source code and software tests.

This module is suitable to those who want to apply computational optimization methods to their proble… This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day. To introduce the student to the concepts of programming using the C programming language, with an emphasis on programming for embedded systems. To embed an understanding of Object Oriented development and grow specific skills in using C++ in a variety of situations.