The programme aims to enable students to develop a systematic understanding of the software development process and the associated professional skills necessary in software engineering practice.
Students will develop expertise to:
- conduct requirements analysis and specification
- create and evaluate software architecture and design solutions
- develop dependable software units
- verify software systems and make informed decisions in the management of software projects
which are all key to a professional software engineering career.
Graduates will be equipped with the essential analytical skills and knowledge for development and maintenance of large-scale software systems, and with the ability to apply this knowledge to real-world applications.
Deep knowledge of object-oriented analysis and design, making use of UML-based techniques and the intellectual skills to create well-designed solutions will be developed.
Students will develop an understanding of the management issues involved in creating software systems, and how they can be addressed from the viewpoint of the organisation, the software developers and the end-users.
Practical experience of a substantial software development project from the initial analysis of a problem, through design and planning, implementation, testing, evaluation and documentation will be provided.
Modules
Jump to:
BSc Honours in Computer Science or an alternative degree with substantial computing content with at least grade 2.2 (or equivalent).
English Language Requirements (for candidates whose first language is not English):
- A TOEFL score of at least 600 (paper-based) or 250 (computer-based) or 100 (internet-based with a minimum score of 23 in speaking and 20 in all other bands)
- An IELTS score of 6.5 overall with no less than 5.5 in each band.
This programme is suitable for candidates seeking to develop their career towards Software Engineering, with the potential to reach a leadership role.
Students will acquire analytical, presentation skills, team working, report writing, negotiation and IT skills necessary for a successful software engineer career.
Dr Aniko Ekart Dr Ekart is involved in the €1.9 million European-funded FP7 project entitled Advanced Predictive-Analysis-Based Decision-Support Engine for Logistics (ADVANCE), which aims to develop a computer system to improve goods delivery across large-scale European transport networks. Her research interests include: data mining, machine learning, genetic programming theory and applications, evolutionary computation.
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