Mathematical Modelling & Self-Learning Systems

University College Cork


Course Name Mathematical Modelling & Self-Learning Systems
Course Provider University College Cork
Course Code CKR56
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major National University of Ireland Level 9 NFQ
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Attendance Options Full time, Daytime
Location (Districts) Cork City
Qualification Letters MSc
Enrolment and Start Dates Comment Start Date 7 September 2020
Application Date

Expand+Applications for academic year 2020/2021 are open.

EU Applicants: UCC operates a rounds closing date system for the majority of postgraduate taught courses, which means offers are made four times a year on a rolling basis. Some courses have one s...

PAC Application Information

Expand+How Do I Apply

1. Choose Course

Firstly choose your course. Applicants can apply for up to three courses under one application. Details of taught courses are available on our online prospectus.

2. Apply Online

Once you have chosen your co...

Application Weblink Web Page - Click Here
Duration 1 year full-time
Link to Course Fee Web Page - Click Here
Entry Requirements


Candidates must have obtained at least a 2.2 honours degree or equivalent in a numerate discipline (i.e., commensurate with science or engineering programmes).

Candidates are expected to have taken courses in mathematics, applied m...


Expand+Course Practicalities
The course places great emphasis on hands-on practical skills. There is a computer laboratory allocated solely for the use of MSc students. PCs are preloaded with all the required software and tools. Teaching hours, tutorials a...

Course Content

Expand+Self-learning systems are an important and newly emerging technique in many areas of applied science such as Applied Mathematics, Engineering, Computer Science and Statistics. In particular, self-learning systems are a disruptive approach to mathemat...

Subjects Taught

Part 1
AM6004 Numerical Methods and Applications (5 credits)
AM6005 Nonlinear Dynamics (5 credits)
AM6007 Scientific Computing with Numerical Examples (10 credits)
AM6013 Statistical, Dynamical and Computational Modelling (10 credits)

Careers or Further Progression

Expand+Skills and Careers Information
Graduates with quantitative skills and expertise in self-learning algorithms are in high demand in industry according to the Governments Expert Group on Future Skills Needs. Demand for these skills is projected to rise...

Further Enquiries Dr Kieran Mulchrone
T:+353 21 4205822

Professor Sebastian Wieczorek
Course Web Page Web Page - Click Here