| |
DCU School of Computing MSc in Computational Science and Complex Systems |
|
A one-year full-time Masters programme providing theoretical and practical training in key
Cross-Disciplinary Computational and Modelling skills
Programme Intro |
Course Structure |
Fees & Requirements
Industry Feedback |
Apply Now!
Course Structure
Computational Science is concerned with constructing
mathematical models, applying
numerical solution techniques and using computers to analyze and solve problems in a great range of
applications (i.e. traffic circulation, climate modelling, study of diseases, systems engineering, business
modelling, ecology, etc).
Complex Systems, concerned with the interactions of very large numbers of individuals, is a particularly
interesting field of study to which DCU's "Modelling & Scientific Computing" research group has made many
contributions, including in Finance and Biology. It addresses questions such as how does the behaviour of
individual consumers/animals/health workers/atmosphere particulates impact on the rate of inflation/the
population statistics/the health system effectiveness/climate change?
There are seven core taught modules and one optional taught module in the programme. In addition, for
the Masters course, each student carries out a practicum, consisting of the definition, implementation,
presentation and documentation of a substantial piece of computational work. Normally, practicums are done
in small groups so that students may benefit from the synergy of working with people of different technical
backgrounds.
Indicative Academic Structure
Semester 1
| Code |
Title |
Credit |
| CA640 |
Professional & Research Skills |
7.5 |
| CA660 |
Data Analysis |
7.5 |
| CA659 |
Computation Science / Mathematical Modelling |
7.5 |
| MS401 |
Numerical Solution of Partial Differential Equations |
7.5 |
Semester 2
| Code |
Title |
Credit |
| CA671 |
Complex Systems |
7.5 |
| CA661 |
Pattern Recognition Methods |
7.5 |
| CA670 |
Concurrency & Distributed Systems |
7.5 |
| CA658 |
Biocomputing OR |
7.5 |
| MM532 |
Computational Thermo-Fluid Dynamics OR |
7.5 |
| CA656 |
Supply Chain Management |
7.5 |
Summer/Autumn
| Code |
Title |
Credit |
| CA617 |
Practicum |
30 |
Practicum
The "practicum", or extended project, will take place over the summer period during which teams of
students will typically either build a prototype system to solve a real-world problem (innovative) or
design an experiment/manipulate/analyse laboratory or field-generated data (experimental) or seek to model
a novel approach or idea (theoretical). The projects, formulated and researched in the first two semesters,
may be provided by corporate clients or may involve some of the student's own ideas or may be suggested
by lecturing staff. Normally, students will be organised into pairs or appropriately sized teams comprising
individuals from different backgrounds and skill sets, with the aim of achieving complementary input to
the problem. Where applicable, students may carry out their practicum work remote from Dublin City University,
for example at a suitable international research centre.
|