Computer Science with or without Industrial Placement
The course covers leading-edge subjects of programming, networks, sensor technologies, machine learning and statistical modelling, and the areas of computer science, artificial intelligence, and internet of things.
| Award Name | Postgraduate Diploma at UK Level 7 |
|---|---|
| NFQ Classification | |
| Awarding Body | Ulster University |
| NFQ Level | |
| Award Name | Degree - Masters at UK Level 7 |
| NFQ Classification | |
| Awarding Body | Ulster University |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Postgraduate Diploma at UK Level 7 | Ulster University | ||
| Degree - Masters at UK Level 7 | Ulster University |
Entry Requirements
Standard entry conditions
To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.
Entry Requirements
Applicants must:
(a) have gained
(i) a second class honours degree or better, in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline, from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or
(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification excluding Conversion courses; and the qualification must be in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline.
and
(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). For applicants whose first language is not English the minimum English language requirement is an Academic IELTS 6.0 with no band score less than 5.5, Trinity ISE: Pass at level III or equivalent English language tests comparable to IELTS equivalent score.
In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.
Careers / Further progression
Career options
Recent predictions from the US Department of Labor Bureau of Labor Statistics have indicated that the Computer and IT field will grow by 13% between the period 2016-2026. This is faster than the average rate of growth of all occupations. Graduates from the MSc Computer Science will be well placed to progress into a wide variety of careers, across a range of industrial settings and application domains. There are also opportunities for graduates from the MSc Computer Science to embark on further research by enrolling for PhD study affiliated with the research centres within the School of Computing. Computing related PhD studies in the areas of Pervasive Computing and Artificial Intelligence can be perused within the School of Computing.
Further information
Start Dates: September 2024 and January 2025
Your Application
Application is through the University's online application system (see "Application Weblink").
This is a specialist programme that prepares you for an industrial career with a comprehensive understanding and practical experience of the advanced concepts, paradigms, algorithms, theories, and techniques underpinning advanced computing systems. The course covers leading-edge subjects of programming, networks, sensor technologies, machine learning and statistical modelling, and the areas of computer science, artificial intelligence, and internet of things.
This course addresses the growing demands in the sector by training a new kind of computing specialist who is able to both manage data, understand business processes, and implement solutions which interconnect them as part of a larger system.
The delivery of the course is supported by multimillionpound infrastructure of a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies, and rapid prototyping facilities.
Full-Time/Part-Time
Industrial Placement available full-time only
For further course details please see "Course Web Page".
The MSc award consists of two compulsory taught modules (totaling 40 credits), four optional taught modules (totaling 80 credits) from a wide range of topics, in addition to a substantial piece of independent Masters Project (60 credits).
The two compulsory modules are:
• Scalable Advanced Software Solutions
• Data Science and Machine Learning
Optional modules are
• Cyber Security
• Deep Learning and Its Application
• Digital Transformation
• Big Data and Infrastructure
• IoT Networks and Protocols
• Software Product Management
• Robotics & AI
• Pervasive Computing
• Knowledge Engineering
• Intelligence Engineering and Infrastructure
• Emerging and Advanced Topics in AI
• Embedded Systems and Sensors
• Human Computer Interaction and UX research
Contacts
Support with admissions and entry requirements UK, ROI & EU admissions@ulster.ac.uk
Support with admissions and entry requirements International (excluding EU) global@ulster.ac.uk
Support with course information
Dr Shuai Zhang
s.zhang@ulster.ac.uk