BSc Hons Computer Science Artificial Intelligence Heriot-Watt University Dubai

But it’s also up to you – the more proactive you are about applying for placements, the better. On our data science course, you will gain the knowledge and skills to acquire, curate, manage, analyse, and make inferences from data for solving real-world problems. Study with us and you’ll gain essential, transferable computational and statistical thinking skills to create and deploy data-driven products. We’ll equip you with the knowledge for solving challenges in a range of potential data-rich application domains, such as medicine, health, climate, transportation, marketing, and sales. You’ll undertake an individual project under supervision, which should contain an element of original research. The project will be AI-application based (i.e. analysing, specifying, building and evaluating an AI-application or demonstrator, and forming recommendations and conclusions on the relative merits of the technologies involved and the methodologies used).

You’ll complete a unique piece of individual research in an AI topic of your choice. This will typically involve designing, building and testing a new electronic system. Past students have designed a traffic counting system using computer vision, and explored security for smart home systems.

How you can work in industry during your course

It combines problem-solving skills, practical skills like programming, and specialist knowledge on tools and techniques for creating smart algorithms and software. You will continue with data structures and algorithms, Interaction Design, looking at various programming languages, databases, web programming, discrete mathematics and software design. In addition you will learn how to program for hardware devices such as a raspberry pi using assembly. Throughout the course, you will have a personal supervisor responsible for guiding your studies.

You will take modules that cover the basics of computer, mechanical and electronic systems in addition to mathematics. The modules promote the practical application of theory and lead into practical project work in term 3 that requires you to synthesise learning from the foundational modules by exercising appropriate skills. The final year covers the advanced ai engineer degree topics in practice of artificial intelligence and covers the key application areas. These include Deep Learning, the technology behind the mass adoption of artificial intelligence in industry and its applications in computer vision and natural language processing. This year also teaches key enabling technology powering scalable computing in industry.

BSc (Hons) Computer Science (Artificial Intelligence)

The development of artificial intelligence (AI) and machine learning techniques has enabled robots and robotic systems to evolve further and improve their operational performance and awareness. This unit offers you the opportunity to explore the development of applications designed to run on mobile computing devices. You will gain practical experience of using device emulators, frameworks, APIs and libraries for the development of mobile apps that utilise specialist features of mobile devices. This unit explores a range of fundamental algorithms and data structures used to solve several computational challenges fundamental to the study of data science and machine learning disciplines. You will learn to consider and discuss algorithm complexity and efficiency through practical implementation using data structures, graphs, graph algorithms and graph search. The aim of this module is to provide students with an introduction to the principles and technology that underlie internet applications and the techniques used in the design and construction of web sites.

This module will explore progress in developing cognitive and biomimetic robots, relating wider progress in artificial intelligence, machine learning, and cognitive science to the development of next generation robotic systems. The practical component of the course will focus on programming biomimetic cognitive architectures for robots. Students should be aware that there are limited places available on this module. The programme will help to develop key concepts of intelligent processing systems and intelligent software applications, implement intelligent systems and evaluate biologically inspired engineering systems that are essential for current and future needs. To reflect the growing demand for artificial intelligence and machine learning systems, graduates of this programme will learn the latest software skills in the development and deployment of applications making use of these technologies.

MSc in Artificial Intelligence

A variety of analysis and design methods are introduced (e.g. GOMS. heuristic evaluation, user-centred and contextual design techniques). Throughout the course, the quality of design and the need for a professional, integrated and user-centred approach to interface development is emphasised. This module follows from CO322 and aims to provide students with more understanding of the theory behind the formal underpinnings of computing. Matrices, vectors, differential calculus, probability and logic will be introduced. Machine learning and artificial intelligence are starting to play far bigger roles in our daily lives. They are used in digital assistants that respond to our voices, self-driving cars and adaptive education systems.

Our four year BSc Computer Science Honours degree with a specialism in Artificial Intelligence is oriented to providing computer science students with the latest techniques in Artificial Intelligence. We aim to teach people not just how to deploy cutting edge tools and techniques, but how to build the next generation of software tools that others will use. This programme aims to give a well-integrated balance ai engineer degree of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff. This unit continues to develop your skills and knowledge in the area of machine learning by exploring the core aspects and techniques of deep learning. These skills and knowledge provide you with the required background for operating fluently within a deep learning ecosystem.

Studying at ARU

However, graduates of our postgraduate programmes have gone on to enjoy careers within a diverse range of organisations in a wide variety of roles, such as software development, network security, and systems engineering. With module content influenced by industry, and specialist equipment supporting experiential learning, our master’s in Artificial Intelligence is designed to support future careers in both industry and academia. AI is a rapidly growing area with many applications across wide-ranging organisations in all sectors and, as such, opportunities exist for talented individuals with specialised knowledge in AI. The aim of this module is to allow students to demonstrate their analysis, design and programming skills, acquired in previous modules of their MSc, by applying what they have learned to a substantial problem in Artificial Intelligence.

You will gain practical knowledge of digital system design and of digital signal processing in the context of modern systems. The course provides access to effective commercial development environments and ensures you have practical awareness of computer systems requirements. You are required to meet strict deadlines, and to manage and plan your overall workload. One of the major objectives of the computer science course https://www.metadialog.com/ is to introduce the theory, principles and technologies underlying the construction of modern computing systems. This module introduces Cloud Computing, which is the technology that enables on-demand computing resources (everything from applications to data centres) over the Internet. Data structures and algorithms are essential in computer science, software engineering, and computer games and graphics programming.

Make the most of these opportunities and apply for our Work Experience Bursary Scheme, the Birmingham Undergraduate Internship Programme or one of our successful mentoring schemes. We accept a range of international qualifications, please contact the
admissions tutor for more information. We are registered with ACT, therefore if you wish to provide your qualifications to us you can find our details on their website. For GCSE, from the lower school leaving certificate (first year of the Vitnemål), the same equivalences would apply.

You will be mostly based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building is located in the University’s Central Campus area, and provides purpose-built facilities and dedicated learning and teaching spaces. We usually consider a maximum of two applications to programmes in the College of Science and Engineering as this helps ensure we make offers to as many students as possible. Our courses are especially designed, at every stage, to equip you with the knowledge, academic skill and transferable skills you need for a successful career in industry or research.

Decades of developments in the fields of computer science and technology have seen this move from science fiction to everyday reality. While it may not be true to say that machines can yet think for themselves, they can undertake many tasks that humans can, and often with greater speed and accuracy. Mohammed is a Senior Lecturer in Data and Information Science at the School of Computing and Digital Technology, Birmingham City University. He has been working on developing artificial intelligence tools for healthcare and life science applications since 2005.

• We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints.
• The cost of accommodation and other living costs are not included within your course fees.
• All our programmes are designed for online delivery, and our state-of-the-art learning platform encourages collaboration with fellow professionals from around the world.
• It is the very best way of preparing you for successfully finding a job quickly when you graduate.
• Holders of the Al-Thanawiyan are not normally eligible for direct entry onto an undergraduate course without completion of a suitable foundation programme, such as one of our own foundation pathways.
• AI and ML are everywhere, from smartphone apps that recognise your speech, to self-driving cars that revolutionise the safety and efficiency of our transport networks.

The module aim is to give students an overview and understanding of key theoretical, practical and philosophical research and issues around computational creativity, and to give them practical experience in writing and evaluating creative software. You’ll be able to choose from a range of modules, so you can focus on specific AI techniques and applications of your choice such as neural network, data mining, eHealth and semantic web. Please note that if you do not meet our English language requirements, we offer a number of ‘pre-sessional’ courses in English for Academic Purposes. Dedicated teaching staff will support you and assist your development into a computer scientist of the future.

Students showcase their skills by designing and building both client and server components of a data driven web site. The aim of this module is to provide an introduction to the fundamental concepts of computer programming. Also, they will be able to analyse and explain the behaviour of simple programs that incorporate standard control structures, parameterised functions, arrays, structures and I/O. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College. You’ll also be able to take specialist modules in order to pursue your own interests and develop your knowledge in these areas.

The tuition fee for the placement year for those courses that offer this option is £1,850, subject to inflationary increases based on government policy and providing you progress through the course in the normal timeframe (no repeat years or breaks in study). The four-year placement route provides the opportunity to go on a placement for at least 36 weeks, where you’ll get a taste of professional life. A placement not only gives you the opportunity to develop your core skills and experience, but also shows employers that you’re ready to get to work. We offer a wide range of services to help you find the right placement, including employer presentations, advice and fairs.