The MSc Computer Science is a specialist programme designed to prepare students for an industrial career by providing a comprehensive understanding of advanced concepts, paradigms, algorithms, theories, and techniques in advanced computing systems. The course covers leading-edge subjects in Advanced Computer Science, Artificial Intelligence, and Internet of Things. The MSc in Computer Science aims to address the growing demands in the sector by training a new type of Computing specialist who can manage data, understand business processes, and implement solutions. The course is supported by a multi-million-pound infrastructure, contemporary sensing technologies, and rapid prototyping facilities. The course is accredited by BCS, The Chartered Institute for IT, Partial CITP (Chartered IT Professional) and Partial CEng (Chartered Engineer). The School of Computing at Ulster University holds the Athena Swan Bronze Award since 2016 and is committed to promoting gender equality in Higher Education.
Ulster University
MSc Computer Science
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.
Career Prospects
The UK economy is facing a digital skills gap, costing £63 billion annually in potential GDP. The government is launching initiatives to address this issue, including institutes of coding and a Digital Skills Strategy. By 2025, there are predicted to be 3 million new tech vacancies in the UK and 149 million worldwide, affecting the global labour market. The MSc Computer Science specialist programme aims to provide postgraduate education and training in Computer Science and its application to the industrial community. Graduates from the MSc Computer Science program are well-positioned to progress into various careers across various industrial settings and application domains. Additionally, graduates can pursue further research through PhD studies in Pervasive Computing and Artificial Intelligence within the School of Computing.
Course Details
The MSc award offers a comprehensive education in various fields, including scalable advanced software solutions, data science and machine learning, cyber security, deep learning, digital transformation, big data and infrastructure, IoT networks and protocols, software product management, robotics and AI, pervasive computing, knowledge engineering, intelligence engineering and infrastructure, and emerging and advanced topics in AI. The compulsory modules cover modern development and deployment concepts in scalable and high-performance computing services, such as containerisation, continuous integration, continuous delivery, cloud architectures, and infrastructure. The optional modules cover cyber security, deep learning, digital transformation, big data and infrastructure, IoT networks and protocols, software product management, robotics and AI, pervasive computing, knowledge engineering, and emerging and advanced topics in AI.
Core Modules
Scalable Advanced Software Solutions
Data Science and Machine Learning
Optional Modules
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
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