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This new and innovative course, developed by a team of engineers, designers, entrepreneurs and business leaders, offers a truly unique learning experience and opens up the path to an exciting career in technology design. You’ll come to understand the design process from concept through to market, and study business as well as design and technology modules. You don’t need prior technical skills but should have an interest in technology and how it can be applied creatively in the design process. You’ll gain hands-on experience of managing, designing, prototyping and testing new technology systems and products. Your learning will be project-based, with learning blocks in design methodologies, maker technologies, digital fabrication & project design. You can tailor your own journey, with three specialist stream options: Wearable Technologies, Smart Systems or Entrepreneurship. You’ll have access to ideation spaces, technical labs and prototyping hubs to develop ideas and create designs, with access to 3D printing, laser cutting and CNC machining. You’ll have opportunities throughout for industry collaboration and feedback, with learning based on real-world scenarios.

This is a one-year, NFQ (National Framework of Qualifications) Level-8, honours degree course leading to the award of the Bachelor of Science (Honours) in Networking Applications & Services. Graduates of this course will be key players in IT (information technology) and communications network management teams. The course provides a solid grounding in the principles of network security and distributed systems, mobile applications, system administration, software development, and M2M (Machine-to-Machine) technology, together with knowledge of management, marketing and law. A significant technical project will complement students’ academic learning outcomes and ensure that on graduation they can immediately apply their skills. The modules of the course rely heavily on computer programming skills, with one module devoted entirely to developing skills in this area, including an examination of Object-Oriented (OO) programming and design techniques. Students will have the opportunity to build mobile applications for iOS, Android, Windows Phone and BlackBerry, and to learn how to deploy them in the market place. Students will learn to install and configure a range of internet server applications such as a Web server and a mail server. Students will study the principles of cryptography and network security, the architecture, algorithms and designs upon which modern distributed systems are based, and the interconnection of systems that employ microcontrollers. Students will learn of the lifecycle of production and delivery and the benefits of adhering to the 7 principles of Universal Design. Finally, a project will provide a challenging practical opportunity to demonstrate students’ assimilation and integration of technical knowledge, analytical competence, aptitude for problem-solving, design creativity, organizational ability, awareness of commercial factors, and interpersonal and communication skills.

The Master of Science in Computing in Applied Cyber Security is designed to produce highly knowledgeable and skilled graduates to counter the cyber security threat. This course focuses on developing hands-on skills backed by theoretical knowledge. An essential part of the master’s degree is the creation of a body of work presented as a thesis which demonstrates ability in research methods, analytics and report writing. The graduates of this course will be independent learners, good problem solvers and experienced researchers.

The MSc in Computing in Information Systems Processes combines the human, the organisational, and the technological to provide a broad perspective of modern information systems and their development. The human aspects of the programme explore issues such as human-computer interaction, psychology, computer ethics, and systems development in the human-centred tradition.

This MSc programme is designed to develop and refine a set of skills essential for successful engagement of enterprises with information and communications technology (ICT). The main themes of the programme are business systems analysis and enterprise software development, supporting the entire business systems lifecycle.

This exciting Masters programme in Information Technology Management will provide students with a comprehensive skillset to fulfil and succeed in a variety of roles in the field of IT Management.

The MSc in Data Science NFQ Level 9 programme is designed to meet current industry needs and provides students with a thorough theoretical and practical grounding in the analysis and utilisation of large data sets, together with experience in conducting data science development projects, thereby preparing graduates for positions of responsibility in the Big Data and IT industries.

Unfortunately, terms such as phishing, piracy, the dark web, online scams and cyber fraud have become familiar to both the general public and businesses alike. This programme will develop graduates that are skilled in the latest cybersecurity techniques and technologies. Graduates will be able to propose solutions to solve some of the most pressing issues in cybersecurity that enhance both privacy and trust in ICT systems.

Artificial Intelligence (A.I.) has become one of the most exciting topics in computing today. Brought about by the improvement in available hardware and an array of free, open-sourced A.I. software libraries, it is one of the fastest growing areas within the ICT industry. It is already being used to develop smarter products and services, from self-driving cars and automated warehouses, to computer games and online chatbots.

Artificial intelligence (AI) is a field of computer science that enables computers and machines to perform tasks normally requiring human intelligence. Its many applications range from chess-playing robots and autonomous cars to speech, image, and language processing, robotic manufacturing, and surveillance systems. AI simulates human intelligence processes by combining large datasets, machine learning, and computational power with algorithms capable of solving problems.

The MSc in Cybersecurity full-time offering is taught on the Bishopstown Campus, and some elective modules may be delivered online. It is designed specifically for computing professionals working in the IT industry. The programme is hands-on in nature and provides the learner with detailed working knowledge of the techniques and tools used in the field of Cybersecurity.

The growth in the field of Data Science and Analytics has been enormous in recent years with a growing demand for practitioners in a variety of industries. With the ever-increasing growth in data generation and collection, industries now rely heavily on appropriate analyses. Consequently, data science and analytics has become a core component of both the public and private sectors who seek to gain a competitive advantage.

Cloud-native applications are designed to capitalize on the scalability and flexibility of the cloud. In contrast to traditional monolithic applications, cloud-native applications are built using multiple, independent microservices that are deployed in cloud environments. Cloud-native development takes an agile approach to creating new applications. Using a DevOps-based continuous delivery model, software development teams can quickly, iteratively and automatically add new features to an application. The course will provide students with both theoretical and practical skills to develop software systems which use Infrastructure-as-a-Service (IaaS) in order to run applications on servers that can be flexibly provisioned on demand.

The aim of this programme is to provide an opportunity for computer professionals and engineers to enhance their knowledge and expertise in areas of current active research and development in software engineering. Participants gain exposure to the various techniques for performing academic research. The course also aims to provide an environment in which the participant is exposed to new technological developments, to ethical and social issues affecting the computer industry, and to the requirement to uphold general professional standards.

Ireland’s reputation as a centre of software excellence is unrivalled in Europe. It is home to multinational and indigenous firms generating €16 billion of exports annually. The sectors wide-ranging activities include software development, R&D, business services and EMEA/International headquarters. As computers become smarter Artificial Intelligence (AI) is making strides in simulating human thinking. Creating computer systems that automatically improve with experience has many applications including robotic control, data mining, autonomous navigation, and bioinformatics. This course provides a broad introduction to machine learning and statistical pattern recognition. Students will learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control.

The course will provide students with both theoretical and practical skills to understand and respond to computer security threats in the modern enterprise. It will arm them with a broad range of competencies to successfully engage in many different security career roles in the enterprise. Students will be given a comprehensive insight of the role and practice of security in the enterprise that will enable them to holistically understand the security context and to relate the security processes and lifecycle to the business activities of the organisation and to hence identify and prioritize security activities. This activity will be supported by developing key security technology competencies in the student cohort. The course will provide a student with a thorough introduction to cryptography developing an understanding of cryptographic algorithms and mechanism. This will, in turn, inform the development of skills in the key areas of network security and computer security – the combination of which provides the security bedrock for the enterprise information technology infrastructure on which the enterprise conducts its business.

Financial analytics arms decision makers with the tools to make sense of an increasingly complex world. By combining internal financial information and operational data with external information such as social media, demographics and big data, financial analytics may address critical business questions with unprecedented ease, speed, and accuracy.

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational, analytical and business strategy skills who can inform business decisions to increase efficiency and an organisation’s value.

In computer science, Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

According to ‘Cyber Ireland’, Cybersecurity is a rapidly growing industry internationally, for which there are a number of opportunities and challenges including $248 billion in cybersecurity spending worldwide by 2023.