Computer Science with High Performance Computing (BSc)
3 years (Full-time) / n/a (Part-time) / n/a (Distance / E-Learning)
BSc Computer Science with High Performance Computing is concerned with the efficient application of often large-scale, distributed computing resources, such as groups of computers or dedicated graphics processing hardware. You will focus your studies on understanding and applying sound computing principles in this complex and evolving area of computer science. Your year 3 modules will emphasis the nature of parallel and distributed computation in these environments and some of the challenges presented by cloud computing.
|How to apply||www.cardiff.ac.uk/howtoapply|
|Typical places available||The School admits 115 students each year to its undergraduate degree programmes|
|Typical applications received||570|
|Scholarships & Bursaries||www.cardiff.ac.uk/scholarships|
|Typical A-level offer||ABB-AAB|
Dr Jianhua Shao
|Tel Number||029 2087 4812|
This three-year programme starts by introducing the basic computing skills and concepts which will underpin your degree and future career.
Short projects in year 1 are followed by a substantial team project in year 2, when you will use your new skills and knowledge to design and implement a software system. In your final year of study, you will focus on emerging technologies and undertake an individual project centred on your own interests.
In year 1 you will follow the same structure as the Computer Science BSc degree programme. The modules taught in your first two semesters are designed to introduce the fundamental computing skills and concepts that will form the basis of your degree. These include the programming of algorithms using the Python and Java™ languages, an understanding of Internet and web technologies, computer architecture and operating systems. You will demonstrate the skills you have acquired and show individual creativity and originality throughout the year as you complete short projects.
Year 1 modules:
- Architecture and Operating Systems
- Computational Thinking
- Developing Quality Software
- Fundamentals of Computing with Java
- Problem Solving with Python
- Professional Skills
- Web Applications
Year 2 will build on the foundations of the first year whilst introducing more specific modules. These targeted sessions offer an introduction to areas related to high performance computing such as the development of networked software applications and parallel programming methodologies used in Computer Science.
Year 2 modules:
- Advanced Programming *
- Algorithms and Data Structures
- Communication Networks and Pervasive Computing
- Database Systems
- Human Computer Interaction
- Informatics *
- Object Oriented Applications
- Scientific Computing and Multimedia Applications *
- System Design and Group Project
* Option Modules
You will study a range of modules that either focus on, or complement the field of high performance computing. Themes like the management of large scale information and knowledge systems (using industry standard products such as Oracle™) or artificial intelligence are explored alongside contemporary, emerging technologies. You will also have the opportunity to gain first hand knowledge by attending lectures by experts in the field of High Performance Computing.
During this year you will complete an individual project under the supervision of a member of our academic staff. The subject of this project is driven by your own interests.
Year 3 modules:
- Computational Intelligence *
- Emerging Technologies
- High Performance Computing
- Individual Project
- Knowledge Management *
- Large Scale Databases
* Option modules
For more information about the modules currently running for this degree, please visit the Cardiff School of Computer Science & Informatics
The School of Computer Science & Informatics aims to educate and inspire the next generation of national and international leaders in the discipline. In 2010 the School substantially updated its programmes to ensure the content is contemporary and relevant, placing emphasis on both research-led teaching (through specialist modules and programmes) and employability (through placements, internships and widening access).
The School prides itself on offering a comprehensive support structure to ensure good student/staff relationships. Every student is assigned a member of staff to act as their personal tutor. Dedicated Professional Tutors are also on hand to advise and respond to any matters and are backed up by the University’s many student support services.
The School make use of a wide variety of appropriate methods to engage with all its students. These include hour-long, classroom based lectures, follow-up tutorials, support classes, guided laboratory sessions, an on-site library and 24-hour access to teaching laboratories to aid private study.
Module assessment is often by exam. The final mark for some modules may include one or more pieces of course work set and completed during the module. Project work is assessed by written report and presentation.
|Typical A-Level Offer||ABB-AAB from three A Levels|
|Typical WBQ Offer||Grade A in the core plus two A-levels at Grade BB-AA.|
|Typical Int Bacc Offer||33 points|
|Other||Applications from those offering alternative qualifications are welcome. Please see detailed information about alternative entry requirements here|
Please find here further information about admissions and selection criteria for this degree programme.
Our graduates have excellent employment prospects in the computing and ICT industry, as well as in other areas of the economy. Recent statistics show that the vast majority are following their chosen career paths within six months of graduating.
Recent graduates have taken up positions with BAE Systems, BT, Civil Service, Confused.com, Deloitte, EADS, Fujitsu, GCHQ, General Dynamics UK, IBM, MoD, Red Hat and Thomson Reuters or have chosen further study or research.
In 2010, 88% of the School’s graduates were either in employment (73%) or engaged in further study (15%) within six months of graduation.
Next intake: September each year
Name: Dr Jianhua Shao
Telephone: 029 2087 6757
Fax: 029 2087 4598