University of Kent

MSc Computer Science (Artificial Intelligence)

Obligatoriske moduler

• Implementering af AI-systemer
• Programmering til kunstig intelligens
• Data Mining og Knowledge Discovery
• Naturlig beregning
• Systemarkitektur
• Projekt og afhandling

Programme aims

This programme aims to:

• enhance the career prospects of graduates seeking employment in the computing/IT sector
• prepare you for research and/or professional practice at the forefront of the discipline
• develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)
• develop a variety of advanced intellectual and transferable skills
• equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Learning outcomes

Knowledge and understanding

You gain knowledge and understanding of:

• how to engineer software systems that satisfy the needs of customers, using a state-of-the-art methodology and an industrially-relevant programming language
• a broad variety of advanced topics relating to computing/IT (the specific topics will depend on the optional modules you chose and may vary from year to year in response to developments in the field, staff changes etc)
• det teoretiske grundlag for datalogi
• Arkitekturen af computersystemer, herunder hardwarekomponenter og operativsystemer med hensyn til deres funktionalitet, ydeevne og interaktioner
• med faglige, juridiske, sociale, kulturelle og etiske spørgsmål relateret til dit valgte dataområde.
• Grundlaget for kunstig intelligens metoder, herunder principperne og koncepterne for en række kunstig intelligens paradigmer
• brugen af avancerede kunstig intelligens-metoder til bedre at forstå naturlig intelligens og/eller løse problemer i den virkelige verden, der er støbt som beregningsmæssige problemer.

Intellectual skills

You develop intellectual skills in:

• the ability to identify, analyse and formulate criteria and specifications appropriate to a given problem
• the ability to model problems and their solutions with an awareness of any tradeoffs involved
• the ability to evaluate systems, processes or methodologies in terms of general quality attributes and possible tradeoffs
• the ability to deal with complex issues both systematically and creatively
• the ability to work with self-direction and originality in tackling and solving problems
• the ability to make sound judgements in the absence of complete data
• the ability to review a research paper or technical report critically and to present your findings to a group of peers
• the ability to plan and execute a substantial research or development-based project and to report the work in the form of a dissertation.

Subject-specific skills

You gain subject-specific skills in:

• the ability to specify, design, implement and test computer-based systems
• the ability to deploy effectively the tools used for the construction and documentation of software
• evnen til at udføre praktisk arbejde, der udforsker teknikker, der er dækket af programmet, og til at analysere og kommentere resultaterne
• evnen til at abstrahere begreber og principper fra andre discipliner (især naturvidenskab) og bruge dem som en metafor til at designe kunstige systemer til at løse problemer i den virkelige verden.

Transferable skills

You gain the following transferable skills:

• the ability to plan, work and study independently and to use relevant resources in a manner that reflects good practice
• evnen til at gøre effektiv brug af generelle it-faciliteter, herunder kompetencer til at hente information
• time management and organisational skills, including the ability to manage your learning and development
• an appreciation of the importance of continued professional development as part of lifelong learning
• the ability to work effectively as a member of a team
• evnen til at kommunikere tekniske problemer klart til specialister og ikke-specialister
• the ability to present ideas, arguments and results in the form of a well-structured written report
• the ability to act autonomously in planning and implementing tasks at a professional or equivalent level.

Du vil være forberedt på en karriere inden for computing eller en karriere, der involverer anvendelse af computere og kunstig intelligens til problemløsning inden for ethvert professionelt område. Ved at arbejde med de nyeste teknologier udvikler du færdigheder, som vil øge dine karrieremuligheder, da datalogi bruges til problemløsning i alle brancher. Kandidater fra vores datalogiske konverteringskurser har med succes opnået karrierer hos førende software, teknologi og kommercielle globale virksomheder som IBM, Cisco, Logica/CMG, Pfizer, Reuters, Shell og Zurich Financial.

Help to find a job

The University has a friendly Careers and Employability Service, which can give you advice on how to:

• apply for jobs
• write a good CV
• perform well in interviews.

Du har adgang til en dedikeret Employability Coordinator, som er en nyttig kontaktperson for alle spørgsmål om studerendes beskæftigelsesegnethed.

Teaching and assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.