The University of St Andrews Artificial Intelligence MSc is a taught postgraduate degree offering full-time and part-time study pathways.
Students complete a selection of compulsory and optional modules, followed by a research project and 15,000 word dissertation.
This programme has similar high-level outcomes to Advanced Computer Science, while offering the opportunity to focus on topics in Artificial Intelligence, including for example, logic, constraint programming, language processing, machine learning and neural networks.
In semester 1 students take Artificial Intelligence Principles and Artificial Intelligence Practice, followed by either Constraint Programming or Language and Computation in semester 2. Other modules can be selected from the general MSc portfolio.
All MSc students take a Core Skills module, covering essential academic skills. Students taking the specialist Computer Science or HCI degrees also take an Object-Oriented Programming module, to provide a common practical foundation for coursework in the modules that follow. Students on specialist degree programmes take a number of designated modules appropriate to the particular field. With careful module choice, it is sometimes possible to keep open several different specialist options until the second semester.
During the final three months of the course, you undertake an extended project agreed with staff, culminating in writing a substantial individual dissertation. Students on specialist degrees undertake a project in the chosen area.
Find information on Scholarships here http://www.st-andrews.ac.uk/study/pg/fees-and-funding/scholarships/taught/
Taught postgraduate degrees in Computer Science produce graduates who are well equipped to pursue careers at the forefront of technology. Our recent graduates have gone on to work in a variety of global, commercial, financial and research institutions, including: Microsoft, Hewlett Packard, Royal Bank of Scotland, Skyscanner, Avaloq, Amadeus, Amazon, Atlas, Avaloq, Barclays, BP, BT, Capricorn Ventis, FactSet, Hailo, Hitachi Data System, Microsoft, OpenBet and Symantec. We also have a number of students who have stayed on to study for a PhD in the School.
* You will be part of a cohort of around 60 taught postgraduate students admitted every year who enjoy many opportunities to work and socialise together.
* You will benefit from the School’s emphasis on excellence in both teaching and research. You will learn and study in our two adjacent purpose-built buildings, in daily contact with our 50+ academic and research staff, as well as undergraduate and research students. Larger lectures take place in nearby science buildings.
* You will experience a wide variety of teaching methods in addition to traditional lectures, with an emphasis on personal and small group teaching.
* You will have 24-hour access to well equipped laboratories, including high-speed wireless Internet access throughout.
* You will have the opportunity to broaden your knowledge beyond your lecture courses by attending the departmental seminar series and distinguished lecture programme and the dedicated Systems and Human Computer Interaction seminar series.
* You will be a part of SICSA, the Scottish Information and Computer Science Alliance, of which St Andrews is a founding partner, giving access to specialised events and training and expert staff at all of Scotland’s universities.
While there is no firm deadline for MSc applications, we strongly recommend that you submit your completed application as early as possible, particularly if you are also applying for funding or a visa. To maintain staff-student ratios, the School reserves the right to stop accepting applications once the programme is full.
The following postgraduate funding may be available to study the Artificial Intelligence MSc at The University of St Andrews.
UK postgraduate loans:
Erasmus Masters Loans – Offering up to €18,000 for eligible students to study a Masters abroad.
Funding from FindAMasters:
FindAMasters Scholarships – Offering up to £5,000 to new UK, EU and international postgraduates.
The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. It will give you a broad understanding of web intelligence and a thorough knowledge of techniques for developing intelligent software.
The Web Intelligence MSc will provide you with the practical knowledge and expertise to evaluate, design and build intelligent software for the internet. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from a research project and dissertation of 10,000 words. You will study Artificial Intelligence, Agents and Multi-agent Systems as well as Software Engineering of Internet Systems. There are also opportunities to explore a broad range of optional modules allowing you to develop a study pathway that reflects your interests.
A graduate in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will provide you with the practical knowledge and expertise to enable you to evaluate, design and build intelligent software for the web. Research for your individual project will provide valuable preparation for a career in research or industry.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.
The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation.
Our graduates have continued on to have very successful careers in industry and research. Recent employers have included general software consultancy companies, specific software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Some graduates have entered into the field of academic and industrial research in software engineering, bio-informatics, algorithms, artificial intelligence and computer networks.
This research led MSc incorporates traditional and state-of-the-art aspects of artificial intelligence (AI) and machine learning, through a contemporary approach which covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.
Semester one: Intelligent Agents; Machine Learning; Foundations of Artificial Intelligence; Computer Vision; Robotic Systems; Evolution of Complexity.
Semester two: Advanced Computer Vision; Biological Inspired Robotics; Advanced Machine Learning; Advanced Intelligent Agents; Computational Biology; Computational Finance; Image Processing; Semantic Web Technologies; Simulation Modelling for Computer Science; Biometrics.
Plus three-month independent research project culminating in a dissertation.
This MSc is taught at the UK’s longest established centre for artificial intelligence, which remains one of the best in the world.
Our research draws on neuroscience, cognitive science, linguistics, computer science, mathematics, statistics and psychology to span knowledge representation and reasoning, the study of brain processes and artificial learning systems, computer vision, mobile and assembly robotics, music perception and visualisation.
We aim to give you practical knowledge in the design and construction of intelligent systems so you can apply your skills in a variety of career settings.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You will choose a 'specialist area' within the programme, which will determine the choice of your optional courses:
You can choose from a variety of optional courses including:
Our students are well prepared for both employment and academic research. The emphasis is on practical techniques for the design and construction of intelligent systems, preparing graduates to work in a variety of specialisms, from fraud detection software to spacecraft control.