This course develops graduates with a capacity for providing solutions to real-world problems that require the acquisition and representation of information, knowledge and intelligence within computerised processes, which form the basis for intelligent computer systems powered by Artificial Intelligence (AI). Entrants develop skillsets particular to pattern identification, the modelling of processes or actions associated with those patterns and the utilisation of machine learning techniques that automate this process alongside mainstream computing topics that form a foundation for working with AI. The development of the course is rooted in the knowledge and experience of Computer Science and Artificial Intelligence (CSAIP) research unit members, their experiences with collaborative projects spanning over twenty years and feedback from past and present students relating to their educational experience and preferences associated with delivery of AI.

Mainstream programming tailored to producing software solutions that encompass artificial intelligence and their foundations. Year 1: Introduction to Programming Year 2: Agent Based Systems Year 3: Robotics and Autonomous Systems Logic programming and machine learning approaches rooted in the understanding and application of methods, tools and packages appropriate to a general audience. Year 1: Logic Programming and Knowledge Representation Year 2: Intelligent Decision Support Systems Year 3: Machine Learning and Natural Intelligence Information system and database development that ultimately leads to the application of Data Science techniques for the mining of information. Year 1: Information Management, Assurance and Security Year 2: Database Development Year 3: Data Mining Computer System Concepts that address hardware, software, operating systems and networking. Year 1: Computer System Concepts Year 2: Operating System Concepts Year 3: Computer Networks Project work that allow for the development of management, planning, development and review of solutions developed in teams and individually. Year 1: Immersive Learning Team Project Year 2: Professional Practice and Employability Team Project Year 3: Individual Project Mathematical foundations for computational intelligence and computer science. Year 1: Mathematical Tools for Computation Year 2: Computational Mathematics

Assessment is primarily by coursework, varying from a research-style paper or essay to practical assignments to presentations and team based project work. You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G800

Institution code: W01

Campus Name: Pontypridd

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Please click the following link to find out more about qualification requirements for this course

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 0%

Employment after 15 months (Most common jobs): 0%

Go onto work and study: 0%

EU	9000.0	Year 1
England	9000.0	Year 1
Northern Ireland	9000.0	Year 1
Scotland	9000.0	Year 1
Wales	9000.0	Year 1
International	12600.0	Year 1

Students have access to a wide range of resources including textbooks, publications, and computers in the University’s library and via online resources. In most cases they are more than sufficient to complete a course of study. Where there are additional costs, either obligatory or optional, these are detailed on the University website (on individual course pages). Of course students may choose to purchase their own additional personal resources/tools over and above those listed to support their studies at their own expense. All stationery and printing costs are at a student’s own expense. Students from Wales and the EU may be eligible for a means-tested Welsh Government Learning Grant. Please visit the University website for full details.

Llantwit Road
Treforest
Address3 are not listed for this Course.
Pontypridd
CF37 1DL