卡迪夫大學(xué)

Overview

Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets. Learn the ethical and social impacts of AI technologies while developing your critical judgement, intellectual integrity and practical skills on client-facing projects. This unique course provides specialist knowledge in areas such as automated reasoning, knowledge representation and machine learning. You also have the opportunity to customise your learning experience to suit your interests and career aspirations by choosing from a range of optional modules, professional work placements and projects. High-performing graduates from this programme will be well-prepared for commencing a research career in AI. This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Computer Science & Informatics.

Learning and assessment

This is a two-stage programme taught over one year for a total of 180 credits. The taught stage is 120 credits, followed by a 60-credit research project. All modules in the taught stage are worth 20 credits. The Master’s stage of your degree will be an individual project (worth 60 credits) which you will write up as a dissertation, after the Diploma stage. This project will be carried out the summer under the supervision of a member of academic staff. The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard. A diverse range of teaching and learning styles are used throughout the MSc Artificial Intelligence. Modules are delivered through a series of either full- or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes. The taught modules within the programme are assessed through examinations and a wide range of in-course assessments, such as: Written reports; Extended essays; Practical assignments; Oral presentations. Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions. The individual project and dissertation enables students to demonstrate their ability to build upon and exploit knowledge and skills gained in earlier stages of the Programme. Furthermore it provides the opportunity for students to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Graduates from this programme will be ideally placed to develop careers as data scientists, artificial intelligence engineers, and data engineers. Industrial partners are invited to support the delivery of a variety of modules by providing real data and problems to be addressed as part of coursework examination.