Artificial Intelligence degree BSc Hons

The University will consider students who have achieved good grades in their High School Graduation Diploma with at least 5 university-preparatory level (Grade 12) courses. For many of our programmes of study, students will need at least a B average, and possibly higher. Holders of the Bachillerato together with a recognised foundation programme, such as the Birmingham Foundation Academy, will be considered for entry to our Bachelor degree programmes. You will need to demonstrate a certain level of English language, either through an English test such as IELTS, TOEFL or PTE, or we may be able to accept your previous or alternative qualifications as evidence.

A standard undergraduate course will comprise of level 4, 5 and 6 modules – increasing as you progress through the course. You are an Essex student from day one, a member of our global community based at the most internationally diverse campus university in the UK. All fees quoted are for full-time courses and per academic year unless stated otherwise. Our Unibuddy ambassadors can answer all the questions you might have about courses and studying at Strathclyde, along with offering insight into their experiences of life in Glasgow and Scotland.

Reasons to choose Kingston University

The aim of this module is to provide an overview of a range of biomolecular, microscale and nanoscale systems and devices, including sensors. The module consists of practical work on three different systems, involving https://www.metadialog.com/ construction and characterisation wit… The key aim of this module is to provide the background and the methods for the understanding of the operation of basic analogue CMOS cells, and how to design common functions.

In addition to any timetabled sessions, you will meet with your supervisor regularly, and you can also go to them at any time should you have any issues, academic or personal. There are problem classes to help you put learning from lectures into practice and regular project supervision meetings for your individual project. All applicants for this course must have taken computing courses that equate to two years of a computer science undergraduate programme. For further details, see the MSc Computing (AI and ML) entry requirements or our FAQs.

What can you do with a degree in AI?

Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. As an innovative and enterprising institution, the University may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the University may deliver certain contact hours and assessments via online technologies and methods. To find out what to include in your application, head to the how to apply page of our international students section.

Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take. Your final degree classification will be based on marks gained for your second and subsequent years of study. You’ll produce a 15-25,000 word project report under the guidance of your supervisor, who you will meet with for an hour each week. You will cover the programming material and concepts necessary to obtain an understanding of the C++ programming language. You will spend around four hours per week in lectures and computer classes and will be expected to take additional time to practice and to produce your coursework.

Through this course students will be able to analyse real-world datasets in various domains and discover novel patterns from them. This course is particularly suitable for those who are interested in working as data analysts or data scientists in the future. artificial intelligence engineer degree This course will deliver the most sophisticated Machine Learning methodologies and algorithms which would be illustrated across a wide range of applications including but not limited to images, videos, health, time series data, language processing, etc.

• This module aims to ensure that you’re aware of the legal, social, ethical and professional issues commensurate with the practice of Information Systems Engineering.
• Providing you with the opportunity to develop the professional skills and experience you need to launch your career is at the heart of everything we do at Leeds Trinity University.
• The University will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), or a suitable foundation programme, such as one of our Foundation Pathways, for entrance to undergraduate programmes.
• University central services are rich with support teams to assist students with every aspect of their journey through our degree programmes.
• You will learn of range of skills which will be key to enhancing your future employability.

Assessment criteria are published both at a generic course level and to provide guidance for individual items of assessment. 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.

Computing (Computer Networks Engineering) MSc

The programme equips students with in-depth AI skills and practical application, positioning them for impactful roles in the field. The module aims to strengthen students’ skills in data technologies ranging from database and data warehousing to Big Data. First, it will provide students with good understanding of database concepts and database management systems in reference to modern enterprise-level database development.

It covers fundamental programming constructs, such as types and variables, expressions, control structures, and functions. You’ll also learn how modern computer systems and networks are constructed of hierarchical layers of functionality which build on and abstract the layers below. You’ll learn how the simple building blocks of digital logic can be put together in different ways to build an entire computer. You will gain a basic understanding of the fundamental architecture of computers and computer networks. 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.

Related jobs and courses

Let’s explore what it takes to become an AI engineer and delve into the field of artificial intelligence. If you decide that you would like to go on to postgraduate study after your undergraduate course, we offer a 10% discount on our postgraduate course tuition fees to our alumni. In your final year, you’ll get the opportunity to complete a major ‘capstone’ project where you can apply the knowledge and skills you have acquired to a range of real issues in different contexts.

I’m currently leading a large collaborative three year EPSRC project “Deep Learning Models for Fetal Monitoring and Decision Support in Labour” with Oxford University and Oxford University Hospitals NHS Trust. I’m a Reader in Computational Intelligence at the School of Computing, with research interests including AI, Machine Learning, Neural Networks, Data Analytics, and Global Optimization. I have a special interest in Deep Learning approaches for solving signal and pattern recognition, classification, and prediction problems.

The module balances a solid theoretical knowledge of the techniques with practical application via Python. For the MEng, the 4th year will involve team projects instead of the artificial intelligence engineer degree final year project. In both degree paths, these project based courses will enable you to develop transferable skills that are needed for your future career in engineering.

Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain. Now well established and accepted in industry, deep learning provides both predictive and descriptive analytics solutions that can be applied to a wide range of applications from business to scientific and governmental applications. This module provides the skills necessary to design a web based application around a clear understanding of the business information requirements, a structured design of an interface and the development skills necessary to implement a solution.

The MSc Artificial Intelligence (AI) is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in AI. Cyber Security student Dipo Dunsin has been hired to advance the project as part of London Met’s commitment to providing students with valuable work experience for their future careers. 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.

The programme is accredited by the British Computer Society, fulfilling academic requirements for registration as a Chartered IT Professional and Chartered Engineer. Graduates are poised to contribute meaningfully to the AI-driven industries of the future. In addition to academic requirements, we are looking for you to demonstrate a proven interest in computing and a clear understanding of what studying robotics and artificial intelligence entails. We are keen to admit students with an interest in subjects that relate to applications of computer technology.

To build on first year programming modules and further develop programming ability and experience, including ability to develop and understand a large piece of software, build user interfaces and follow a realistic design and testing procedure. Our course lets you explore this subject with optional modules in intelligent agents, autonomous systems, machine learning, and human-AI interaction. Artificial intelligence (AI) has become increasingly important in addressing complex problems faced in many different aspects of our society, including economics, business, healthcare, medicine, education and agriculture. With recent developments in AI techniques and large-scale computing infrastructure, the exploitation of big data further pushes forward on all fronts. This rapid advance leads to a growing demand for students who can understand and exploit AI.