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Master of Science Artificial Intelligence (with English Language)


General information

Master of Science
Master of Science Artificial Intelligence (with English Language)
University of St Andrews
University of St Andrews
MSc (Science Faculty)
Artificial Intelligence (with English Language)
School of Computer Science
Faculty of Science
English
18 months (1.5 years)
SCQF 11
See the School of Computer Science website at http://www.cs.st-andrews.ac.uk/

For general QAA information on academic infrastructure see http://www.qaa.ac.uk/

For subject specific benchmarking see:
https://tinyurl.com/y4wfzo7l (Computer Science)
(English as a Foreign Language)

Educational aims

This programme will involve study of Artificial Intelligence (with English Language) at an advanced, research-led level in which students will gain an understanding of how knowledge is created, advanced and renewed. The programme will encourage in all students a desire to pursue independent learning with curiosity, integrity, accuracy and intellectual rigour.

Programme structure

This is a 18-month programme of study leading to the degree of Master of Science. As with all St Andrews programmes, it is made up of credit bearing modules. Students must earn 240 credits over the duration of the programme, with 120 credits normally earned each academic year. Typically, the first two years of study include core modules specific to the programme as well as other modules chosen from a range of options (in some cases, including modules from a different Faculty). The remaining years offer advanced research-led learning through modules that provide a programme-specific curriculum.

For information about core and optional modules for each programme, please consult the Programme Requirements, which can be found at https://www.st-andrews.ac.uk/subjects/reqs/2019-20/list.html?v=pg

These requirements describe the detailed structure of the course and link to the contents of all the modules that can be included in the programme. Teaching, learning and assessment are progressive, with both the content and methods of delivery changing to suit the increasing level of complexity in the material, and independence of students, as they work through the programme.

Programme outcomes

In the course of this programme students will develop programme-specific skills. On completing the programme students should be able to demonstrate the graduate attributes outlined below.

Teaching, learning and assessment methods

a) Teaching and learning delivery

Students will engage with independent and group study in a supportive framework of teaching and learning. The strategy is to use methods of teaching and assessment that will facilitate learning appropriate to the aims of the degree programme. The following methods will be employed where appropriate to the level of study and the particular content of each module in the programme.


b) Material submitted for assessment

Assessment can be a blend of diagnostic work to determine student needs, formative work submitted for assessment and feedback (but not necessarily for academic credit) or summative work submitted for academic credit.


c) Learning and teaching support

Students' scholarship skills (in, for example, academic writing, information gathering and academic conduct) will be supported and developed through this programme. The following will be available, where appropriate to the level of study and the particular content of each module in the programme.