Artificial Intelligence (AI) is powering innovations everywhere, from virtual assistants to self-driving cars. You may have heard of the ‘fourth industrial revolution’; AI is a fundamental technology that enables systems to transform our everyday lives. This course is designed to equip you with the necessary knowledge and skills to be at the forefront of this technological revolution, and will teach you how to build intelligent systems, which are in high demand across many different industries. You will study both the theoretical and practical aspects of computer science and AI, covering: * Mathematics * Hardware * Network architecture * Algorithms As well as learning skills in software development, database management and building knowledge-based and data-driven intelligent systems. We aim to provide you with the fundamental principles of computer science and the skills on which AI relies, as well as giving you the opportunity to specialise your knowledge around various AI themes, for example, robotics, knowledge graphs, and deep learning. In your first year you will follow a core computing programme to give you a broad understanding. Then from your second year onwards you will take a number of specialist AI modules, covering symbolic, sub-symbolic and statistical AI and their applications in natural language processing, speech and image recognition. You will be taught by academic staff who are active in research that applies AI methods to solve key societal challenges in areas such as healthcare, transportation and smart cities. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to statistical and data-driven AI and machine learning. You will be supported to take the skills and techniques you learn and to apply them to tackle challenges in the computing sector. Additional costs: On this course optional field trips may be offered to destinations in the UK, which you would need to pay for if you choose to attend. Previous trips in recent years have included a visit to The National Museum of Computing for 1 day at a cost of £20.00 per student. Other field trips may cost more.

Year 1 Core modules: Software Design and Development Computing Science and Mathematics Computer Network Fundamentals Project 1 Computer Organisation and Architecture Year 2 Core modules: Introduction to Artificial Intelligence Computational Mathematics 1 Team Project Relational Databases and Web Integration Option modules: Choose one from a list which may include: Cyber Security Object-Oriented Systems Development Embedded Systems Algorithms and Data Structures Language Translators Operating Systems Year 3 – optional placement year Final year Core modules: Knowledge-Based Artificial Intelligence Individual Project Data-driven Artificial Intelligence Option modules: Choose one from a list which may include: Modern Database Applications Advanced Web Programming Large-Scale Software Engineering Parallel Computer Architecture Clusters and Grids Distributed and Client Server Systems Computational Mathematics 2

Assessment is varied and includes coursework, log books, presentations and demonstrations, as well as formal examinations. There are opportunities for group working, in addition to individual assessments. Within the second year you will take part in the Design Challenge, a team based project that has an assessed component. Different organisations will present you with a real challenge they are facing and as part of a team, made up of students from across different courses, you will work together over the course of one week to create a solution. Your module specification/course handbook will provide full details of the assessment criteria applying to your course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: C473

Institution code: H60

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Entry is also possible from the Engineering Foundation Year. To progress onto this course from the Foundation Year you must pass all modules and achieve an average mark of 40% or above. In addition, GCSE English Language or Literature at grade 4 and Maths at grade 5 or above, or grade C and B respectively if awarded under the previous GCSE grading scheme. For further information please see the University's minimum entry requirements.

Please click the following link to find out more about qualification requirements for this course

http://www.hud.ac.uk/undergraduate/howtoapply/entryrequirements/

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable.

Read more about the University’s entry requirements for students outside of the UK on our 'Where are you from?' information pages.

https://www.hud.ac.uk/international/where-are-you-from/

Student satisfaction : 66%

Employment after 15 months (Most common jobs): 65%

Go onto work and study: 80%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
Channel Islands	9250.0	Year 1
EU	16000.0	Year 1
International	16000.0	Year 1

This information is for applicants applying to study at the University of Huddersfield in the academic year 2021/22. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). This webpage will be updated with 2022/23 tuition fees as information becomes available. If you are an EU or International student coming to study at the University of Huddersfield, please visit the International Fees and Finance pages for full details of tuition fees and support available - http://www.hud.ac.uk/international/tuition-fees/ Please email the Student Finance Office (sfo@hud.ac.uk) or call 01484 472210 for more information about fees and finance.

Queensgate
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Huddersfield
HD1 3DH