The University of Limerick is a prestigious institution known for its excellence in teaching, research, and innovation. Situated on a beautiful riverside campus, the university offers a diverse range of programs across disciplines such as arts, humanities, social sciences, business, education, engineering, science, and health sciences. With a strong commitment to experiential learning and industry engagement, the University of Limerick provides students with opportunities to gain practical skills, work experience, and develop a global perspective. The university's vibrant campus life, state-of-the-art facilities, and supportive community contribute to a transformative educational experience.

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Digital transformation is the process by which companies embed technologies across their businesses to drive fundamental change. The benefits of such a strategy lead to increased efficiency, greater business agility and the unlocking of new value for employees, customers and shareholders. While digital transformation might include digitalization efforts, it goes beyond the project level and affects the entire organization. For most companies, digital transformation requires a shift away from traditional thinking and toward a more collaborative, experimental approach. These new ways of approaching work reveal new solutions which, in turn, can improve customer experience, drive employee innovation and spur company growth at the fundamental level. This programme will equip graduates with the competencies to act as a ‘Digital Support’ to operate within an enterprise. These competencies will allow the graduate to focus on the integration of systems, analysis of key data and the demonstration of opportunities and added value for the business through process digitalisation. The delivery of the programme is through mainly online blended learning, and self-directed study, and focuses on the undertaking of a set of Artificial Intelligence related modules. It will be delivered primarily via on-line lectures, supported with tutorials and assignments and if necessary some on-campus workshops. Formative assessment will be based on assignments and project work with a focus on acquiring knowledge and skills, with opportunity for creativity and innovation. Summative assessment will typically be continuous assessment and /or exam based except for the dissertation which will be report and presentation based. Show less

Semester 1
Digitalisation Of Process (M)

This module will investigate the increasing digitalisation of business processes, from design through to process execution, establishing a robust process for understanding the digitization requirements, paths to digitising the process and methods of process visualization and analysis using platforms like SAS JMP Pro Software.

Introduction To Cyber-Physical Systems & Internet of Things (M)

The aim of this module is to enable the learner to programme standard ICT Boards, I/O, sensors and gateways in order to collect time-series data streams with an applied learning approach to understanding embedded systems, the Internet-of-things (IoT) and the cyber-physical systems (sensors, control boards) necessary for data acquisition in business environments.

Semester 2
Introduction To Data Analytics/Visualisation & Machine Learning (M)

The aim of this module is to introduce the learner to standard business systems to collect and interpret datasets for data-driven intelligence, therefore developing an understanding of the need to design and develop database systems, collect, clean, visualise and interpret data rooted in best data analysis practice.

Applied Research Project in Business Process Digitalisation

The applied research project will be self-directed by the student with support from the academic supervisor. The completion of the project will bring significant advances in terms of professional and personal development, communication skills and confidence to present proposals and results.

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