Artificial Intelligence (with Placement) at University of Huddersfield - UCAS

Course options

Course summary

This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree. In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use the tech to position itself at the forefront of the revolution. Data shows that the AI sector is worth over £15.6bn and employs more than 35,000 people.* This means that AI has rapidly become a medium-sized sector in the UK and has the potential to participate in other sectors' growth. You could contribute to this growth by enrolling onto our Artificial Intelligence (with Placement) MSc at The University of Huddersfield. *https://www.thedatacity.com/insights-news/uk-artificial-intelligence-statistics-2020 Why study Artificial Intelligence MSc at Huddersfield? Demand for AI talent in AI techniques, such as machine learning, is increasing rapidly. There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course aims to develop your knowledge and understanding to an advanced level across a range of areas, including: • Autonomous systems • Knowledge representation and reasoning • Data mining • Machine learning • Robotics We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies. A vibrant town, Huddersfield is a friendly and diverse place from which to study, too, offering lots to do between lectures. Top 3 Reasons to Study Artificial Intelligence MSc at Huddersfield 1. Exciting Career Prospects - 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation*. 2. Boost Your Knowledge – We'll equip you with the knowledge, underpinning recent AI developments, as well as the skills to enable you to contribute to future AI technologies. 3. Practical Experience – We’ll support you in finding a six-month work placement. You could work in industry, a research group or within a teaching environment. *HESA Graduate Outcomes 18/19

Modules

Course models are varied and include, amongst others: • Data mining • Machine learning • Robotics.

Assessment method

A variety of assessment strategies are used depending on the type and nature of the module. These include reports on laboratory experiments, laboratory-based assignments and projects. Your module specification/course handbook will provide full details of the assessment criteria applying to your course. Assessment will include coursework and peer review and reflect the emphasis of the course on the ability to apply knowledge and skills. Feedback (either written and/or verbal) is normally provided on all coursework submissions within three term time weeks.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • British Computer Society
  • BCS - The Chartered Institute for IT

Entry requirements

Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:1 or above) in Computing or Engineering or Scientific related subject or an equivalent professional qualification. * Applicants are expected to be familiar with and have some aptitude for Discrete Mathematics and Predicate Calculus. * Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level - the qualification and experience should be in the area of Computer Science or Mathematics/Engineering.


English language requirements

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 7.0 overall with no element lower than 6.5, 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/


Fees and funding

Tuition fees

EU £18000 Year 1
International £18000 Year 1

Additional fee information

Tuition fees will cover the cost of your study at the University as well as charges for registration, tuition supervision and examinations. Please note that tuition fees for subsequent years of study may rise in line with inflation (RPI-X). Please visit the International Fees and Finance pages for full details of tuition fees and support available - https://www.hud.ac.uk/international/fees-and-funding/ Please email the Student Finance Office ([email protected]) or call 01484 472210 for more information about fees and finance.
Artificial Intelligence (with Placement) at University of Huddersfield - UCAS