Sept 2020 – Grangegorman Campus
The minimum admission requirements for entry to the MSc programme are a BSc (Honours) in Computer Science or a related discipline at level 2.1 or at level 2.2 with at least 2 years of relevant work experience. Applicants with other qualifications at Honours 2.1 level or better and relevant experience may also be considered.
Applicants must present a minimum IELTS English proficiency score of 6.5 overall with at least level 6.0 for each component.
Note: Due to the considerable competition for our postgraduate programmes satisfying the minimum entry requirement is not a guarantee of a place. Depending on the programme of study applications will be assessed based on academic grades and any work/life experience. Applicants may also be required to attend for interview.
The MSc in Computer Science (Advanced Software Development) aims to produce graduates with the knowledge and skills to develop the complex software solutions that organizations need to compete in the emerging global digital economy.
The target audience is those with an undergraduate qualification in computer science or software development. Students will study advanced technical modules in programming, design, databases, architecture and web development to acquire the technical knowledge needed to practice as software developers working on leading edge development projects. In addition students will be equipped with key professional, technical communications skills needed to practice as a professional in the computing industry.
Graduates completing the MSc will be qualified to take up strong technical roles in software development teams in a range of organisations. Specific opportunities include: software developer, software engineer, test engineer, software designer, systems analyst, web developer, technical consultant.
- Programming Paradigms: Principles & Practice
- Software Design
- Advanced Databases
- Systems Architectures
- Web Application Architectures
- Secure Systems Development
Critical Skills Core Modules
- Research Writing & Scientific Literature
- Research Methods and Proposal Writing
- Research Project & Dissertation
- Geographic Information Systems
- Universal Design
- Programming for Big Data
- Problem Solving, Communication and Innovation
- Social Network Analysis
- User Experience Design
- Deep Learning
- Speech & Audio Processing
Students can also take specialist core modules from the Data Science stream as option modules, subject to availability and schedules.
For the part-time route, teaching will be in the evening with classes starting at 18.00. Attendance on Saturdays is required for critical skills modules. Part-time students can progress through the programme at their own pace.
The recommended pathway to complete the part-time programme in 2 years requires either attendance for two evenings with Saturdays per week or for three evenings per week in each semester.