Artificial Intelligence (Distance Learning) at University of Huddersfield - UCAS

Course summary

Jumpstart a rewarding career in Artificial Intelligence (AI) with our AI MSc Distance Learning course at The University of Huddersfield. Aimed specifically at people who aren’t local to our campus, this Artificial Intelligence MSc will equip you with the knowledge and skills to apply appropriate solutions to real-world problems using a range of AI technologiesI. Our Artificial Intelligence course seeks to deepen your understanding of a range of areas, including machine learning, data mining and robotics. Why study Artificial Intelligence MSc (Distance Learning) at Huddersfield? In the UK, the recent expansion in AI during the last decade reveals that the country’s economy is aiming to leverage AI for its growth. Data shows that the AI sector is now worth over £15.6bn and employs more than 35,000 people.† Demand for AI talent in this rapidly developing field is therefore high. At The University of Huddersfield, our MSc in Artificial Intelligence will equip you with the skills needed to contribute to the UK AI sector. †https://www.thedatacity.com/insights-news/uk-artificial-intelligence-statistics-2020 Top 3 Reasons to Study Artificial Intelligence (Distance Learning) at Huddersfield 1. Knowledge – We'll equip you with the knowledge and the skills to understand recent AI developments, as well as contribute to future AI technologies. 2. Boosted Career Prospects – 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation.†† 3. Convenience – This course is delivered as a ‘Distance Learning’ programme, with access to materials readily available online. If you wish to be eligible for a Government student loan you can even undertake this course part-time over a duration of two years. ††HESA Graduate Outcomes 18/19

Modules

Our MSc in Artificial Intelligence offers a wide range of modules across each year of the course. These include: • Autonomous and Autonomic Intelligent Systems • Artificial Intelligence Planning • Robotics • Data Mining. The course culminates in an Individual Project module, which allows you to apply the knowledge, skills and experiences acquired in other modules to work for an external client on a project related to a self-selected problem.

Assessment method

Students in the Distance Learning Artificial Intelligence MSc programme will be taught via our virtual learning environment, Brightspace. The core material will be delivered on Brightspace via recordings of on-site lectures, tutorials, directed reading and practical work. As a distance learner, you will have access to the same modules and learning experiences as on-site students. You will also be given timely feedback through Brightspace. A variety of assessment strategies to test your knowledge and skills is used, including: • Reports on laboratory experiments • Laboratory-based assignments and projects.

Professional bodies

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

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

Entry requirements

Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 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 6.0 overall with no element lower than 5.5, or equivalent.

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

No fee information has been provided for this course

Additional fee information

The part-time tuition fee for UK postgraduate students on this course will be £660 (Band 2) per 15 credit module and £1,320 (Band 2) per 30 credit module. Tuition fees for UK students will cover the cost of your study at the University. For more information about funding, fees and finance for UK students, including what your tuition fee covers, please see our Fees and Finance page (https://www.hud.ac.uk/postgraduate/fees-and-finance/). 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 (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 (Distance Learning) at University of Huddersfield - UCAS