Computer Science Artificial Intelligence Undergraduate study

The James Watt School of Engineering has created a well-equipped Robotics Teaching Laboratory where most of the robotics project and practical teaching will take place. The combination of research-led teaching and well-equipped laboratory facilities will provide you with a valuable learning experience ai engineer degree that will strengthen your knowledge development and help in your future career. Your second year will build on your knowledge, with core units typically exploring areas such as machine learning, algorithms and data structures, applied predictive modelling, and database models and implementation.

We may accept your English language grade from the Finnish Ylioppilastutkinto/Studentexamen if you achieved 5 (magna cum laude approbatur) in English. We may accept your English language grade from the Danish Studentereksamen if you achieved 10 in English. Nunavut – General High School Diploma with an overall average of 75% (ABB), 80% (AAB) and 85% (AAA) across five subjects at grade 12.

Scottish postgraduate students

This unit covers the theoretical, and practical, foundations of machine learning from a problem-solving perspective. A range of machine learning topics are explored which will enable you to conduct machine learning experiments on given data sets. Our BSc (Hons) AI and Data Science course is developed with industry in mind, giving you the skills and knowledge you’ll need in the workplace.

It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying. Though these are not essential to your programme of study you need to be aware of them as a student of the University. A list of the sort of costs you might expect can be found on our fees and finance section.

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At the end of the year, you’ll complete a 3-week team challenge, judged by an industry panel. Previous projects include the development of a home AI system and building a quadcopter. According to the World Economic Forum’s 2023 Future of Jobs report, the number of roles in AI and machine learning is growing at a faster rate than in any other field. He currently delivers a variety of modules such as Audio Visual Technology, Moving Image Technology and Mathematics for Media. Natural Language Processing (NLP) is a rapidly developing field with broad applicability throughout the hard sciences, social sciences, and the humanities. The ability to harness, employ and analyse linguistic and textual data effectively is a highly desirable skill for academic work, in government, and throughout the private sector.

Yukon – Senior Secondary Graduation Diploma with an overall average of at least 85% in 5 grade 12 subjects (including provincial examinations where applicable). Manitoba – High School Graduation Diploma with an overall average of 75% (ABB), 80% (AAB) and 85% (AAA), including 5 credits awarded at the 300 level in at least 4 subject areas, and at least 65% in each subject. For Postgraduate programmes, Cameroonian nationals with a degree that was completed in English from Cameroon or another English speaking country (as on the University’s approved list) are not required to submit an English Language test. For Postgraduate programmes, Botswanan nationals with a degree from Botswana or another English speaking country (as on the University’s approved list) are not required to submit an English Language test. This stream explores how AI agents can make intelligent decisions in complex environments and how AI can be used to analyse and generate artifacts in the domains of audio, music, game design, fiction writing or artworks.

Artificial Intelligence & Applications

Applicants with a GCSE English grade 4/C equivalent or a degree from the University of Malta are exempt from taking an English proficiency test. If you are a student of any other college and you wish to be considered for second year entry, you must submit your full transcript and a copy of the syllabus you have followed https://www.metadialog.com/ so that we can assess your suitability. For candidates offering the South Australian Matriculation qualification, a TER of between 90 to 98 is required. Applicants with appropriate grades in Standard XII English (English Core/English Elective/Functional English in CBSE) do not require additional SELT qualifications.

This module covers the basic principles of machine learning and the kinds of problems that can be solved by such techniques. You learn about the philosophy of AI, how knowledge is represented and algorithms to search state spaces. The module also provides an introduction to both machine learning and biologically inspired computation. Machine learning provides a means for computer systems to extract useful information out of data. These techniques are widely used in the technology industry for a variety of applications, for example, recommending music and other products to people, identifying faces in photos and predicting trends in financial markets.

Read more about our English language requirements, including information about pathways that can help you gain entry on to our degree courses. Group activities are designed to develop your team working and professional skills (though all assessment is individual). Supervised work in computer laboratories puts into practice principles you have covered in supporting lectures. Please note that it may not be possible to deliver the full list of options every year as this will depend on factors such as how many students choose a particular option. When accepting your offer of a place to study on this programme, you should be aware that not all optional modules will be running each year.

During your time at ARU, you’ll also get the opportunity for a placement year in industry which will see you linked with a high-tech hub company in Cambridge, the region and beyond. You’ll build up experience working and make industry contacts to benefit your studies and enhance your long-term career prospects. In addition to building expertise in your own discipline, our courses will also help you to develop key transferable skills that you’ll need for professional life or further study once you graduate. Travel costs are not included in your tuition fees but we do have a free intersite bus service which links the campuses, Surbiton train station, Kingston upon Thames train station, Norbiton train station and halls of residence.

Please note that all international experience opportunities may be subject to additional costs, competitive application, availability and meeting applicable visa and travel requirements are therefore not guaranteed2. This course consists of six 20-credit modules (composed of 200 hours teaching each). We place an emphasis on Activity-Led Learning, and you will be supported throughout with our comprehensive student support. These courses will provide you with the level of English needed to meet the conditions of your offer. As you progress through the course you will develop your skills to become a more independent learner. You’ll also spend time working on your individual research project later on in the course, in addition to timetabled activity.

The interview allows our academics to find out more about you, and in turn you’ll be able to ask us any questions you might have. Once you’ve checked that we have the right course for you, applying couldn’t be simpler. Fill in our quick and easy Clearing application form with as much detail as you can. If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS. The course will give you transferable skills such as the ability to develop and present arguments, as well as the ability to work independently and in groups.