MSc in Advanced Computer Science
Cardiff University
Key Information
Campus location
Cardiff, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 3 year
Pace
Full time, Part time
Tuition fees
GBP 9,700 / per year *
Application deadline
Request info
Earliest start date
Request info
* for full-time UK/EU students
Introduction
The MSc Advanced Computer Science offers students exposure to state-of-the-art topics that are driving key technological developments and trends.
Course Aims
Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline, this flagship programme offers exposure to state-of-the-art topics that are driving key technological developments and trends.
Special Features
- An advanced computer science course for computing graduates.
- In addition to coverage of core advanced computer science topics, students further differentiate themselves by selecting from up to two of three cutting-edge research topics to specialise in:
- Informatics
- Visual Computing
- Distributed and Scientific Computing.
Course Description
Computer Science is one of the fastest moving academic disciplines and the outcomes of research and innovation in this field have a massive social impact. The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.
Core to this programme is the opportunity to further develop the scope of your problem-solving skills by studying advanced programming languages and new programming paradigms. You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:
- Informatics
- Visual Computing
- Distributed and Scientific Computing
A module in e-commerce and innovation will enhance your transferable skills and employment prospects. In 2014-15, optional topics will include Web and Social Computing and Forensics, Trust and Identity (which includes the opportunity to gain external accreditation for use of forensic tools including the market-leading Micro Systemation XRY forensic software).
During the summer months, you will undertake an individual research project and complete a dissertation under the supervision of a member of academic research staff. The topic for this will be driven by your own interests.
Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning state-of-the-art computer science from a research and development perspective. 60 credits of the 180 credit programme concern the dissertation and individual supervision.
Admissions
Curriculum
Course Structure
Full-time students will take two compulsory modules per term with an additional two optional modules. Part-time students take one compulsory module per term with an additional optional module.
Core Modules
- Dissertation
- E-Commerce and Innovation
- Programming Paradigms
Option Modules
- Computational Operational Research
- Distributed and Cloud Computing
- Forensics, Trust and Identity
- High-Performance Computing
- Human-Centric Computing
- Informatics
- Information, Network and Cyber Security
- Pattern Recognition & Data Mining
- Visual Computing
- Web and Social Computing
Program Outcome
Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning state-of-the-art computer science from a research and development perspective.
Career Opportunities
Graduates from this course will be ideally placed to pursue a number of careers, such as systems architects, programmers and software developers, and could also pursue a research career via doctoral studies.