As part of the HCI Pillar 3 funding, the Advance Centre is offering subsidies on a range of offers a range of micro-credential, graduate certificate, and diploma courses across a range of different themes. It promotes increased participation in micro credential courses, by reducing the learner fee by between 50 and 80 percent to undertake a micro credential course.
delivered by UCD, ATU Sligo and TU Dublin
These courses and programmes are eligible for the Learner Fee Subsidy provided by the HEA. The courses cover a range of different themes.
The Professional Certificate in Digital Policy is designed to prepare graduates for careers in evaluating, implementing, and studying core topical, theoretical, and methodological issues that arise in digital policy today
The programme offers learners with basic machine reading techniques in subject areas that do not traditionally offer technical expertise.
It will also enhance the career prospects of learners across a broad range of disciplines by equipping them with transferable digital skills and the capacity to work with data relevant to their academic discipline and beyond.
This unique micro-credential integrates social and ethical perspectives to explore foundational issues in Artificial Intelligence (AI). It provides practical skills in analysing ethical frameworks, bias, privacy, and AI safety. It also examines AI’s influence on society, including the future of work and AI’s effect on the environment. Learners will also gain practical expertise in defining the scope of audit efforts, including determining the objective for assessment and specifying which aspects of the AI system will be scrutinised. It adopts multidisciplinary perspectives from various disciplines.
This is a fully online flexible where learners will receive the content fully online via skillsmove.eu learning platform (managed by European Institute of Innovation and Technology (EIT)). Upon completing the designated learning paths on skillsmove.eu platform, the learners will apply the acquired knowledge on a case study which will help them sharpen their skills further.
This micro-credential presents the latest theories on the strategic context of project, programme and portfolio management, to effectively deliver the full project within budget and on time.Core concepts will be applied through the use of case studies and computer simulations to show how they are used in business settings.
Introduction to probability and statistical inference, focusing on understanding concepts and methodologies.
Leadership in Security is a module about taking charge of security in an organisation and driving change to improve security.
This module focuses on providing in-depth knowledge on the field of network and communication security, with an emphasis on modern techniques used in the real world.
The module will provide a learning environment that will encourage learners to construct their knowledge through problem solving as part of a team, and to critically reflect on recent security breaches and vulnerabilities so they can develop their own and others leadership and advocacy skills.
Learners will be faced with a number of real world challenges while remaining inside an ethical sphere.
The course teaches core skills of binary code reverse engineering using disassembly, interactive debugging and dynamic monitoring of software behaviour.
Introduces learners to the world of information security addressing the major issues that security specialists encounter in the "real world".
Provides an introduction to the field of cryptography, with an emphasis on modern techniques used in the real world.
This module will address how threats develop, and how others have dealt with major incidents in the past. Incident response is a critical aspect of cybersecurity.
This module will enable learners to understand each of the key steps of a risk assessment, including how to identify risks, manage hazards and determine the likelihood of harm.
This cert has been developed in collaboration with industry and is aimed at Electronic, Computer, Mechanical and Mechatronic Engineers who wish to develop the skills required to design the next generation of technology for smart and autonomous vehicles.
This Postgraduate Certificate specialises in Environment Detection and Computer Vision for Advanced Driver Assistance Systems, the underlaying technology of smart and autonomous vehicles.
Offers students the opportunity to upskill their digital business skillset through flexible online delivery. Providing the learner with live virtual classes which can be revisited at their convenience should help those juggling the demands of part-time education and full-time employment.
This one-year Level 9 Certificate seeks to empower students as they consider how businesses support their own strategic ambitions and societal success simultaneously by understanding the interconnectedness of financial management, sustainability of business, society, and strategy.
Provide participants with enhanced problem-solving and analytical skills as well as the ‘soft skills’ required in interacting within teams and with peers and subordinates.
Six Sigma has become the fastest spreading and most successful approach to Quality across all industries. This 30 credit special purpose award is also mapped to the Six Sigma Black Belt Body of Knowledge (BOK) for the American Society for Quality (ASQ) Black Belt award.
The Certificate in Project Management is a one-year part-time programme designed for graduates or professionals who are interested in becoming involved in developing their skills and competencies in project management.
The Certificate in Digital Construction Technology has been developed in response to meeting the needs of the construction industry in providing graduates with knowledge and practical skills in the areas of Construction Technology, Site Surveying & BIM.
This 25 credit certificate programme will provide the participants with an appreciation, knowledge, tools, and techniques for effective Project Management incorporating BIM and Lean Construction principles.
Provides a Level 7 Certificate of Science qualification in Health Data Analytics affording an advanced level grounding in the applications of health data analytics.
This micro-credential allows learners to acquire fundamental skills to effectively engage in and manage data analytics projects. It provides insights into data analytics fundamental concepts, techniques/tools, and applications in an industrial environment. It covers, in detail, the principles and practices of decision analysis.
This micro-credential covers essential and fundamental principles of statistics as applied in biology, medicine, and related fields.
Professionals working in the pharmaceutical or medical device industry can learn a different set of skills preparing them to work in the pharmaceutical industry or government bodies (HIQA), and conduct a health economic evaluation.
This micro-credential covers principles of clinical research with particular emphasis on interventional trials.
This micro-credential covers methodologies used (narrative, systematic, scoping, and rapid reviews, meta-analysis, literature maps & frameworks.
Begineers introduction to the open-source statistical programming language R, and how to build programmes and handle datasets
Covers the essence of programming with data using the languages C and C++, focus on incorporating such code into the R statistical environment.
This micro-credential delivers a collection of techniques for discovering patterns in data and making predictions at the intersection of Machine Learning and Statistics.
Focuses on how to manipulate data and perform statistical calculations using SAS.
Learn how to manipulate data and perform statistical analysis using Python.
The micro-credential uses a variety of real-world examples to illustrate the use of different data analytical techniques and regression models, covering both theoretical and practical considerations.
The programme allows to build a focus either on the computational side of quantum engineering & computing and/or on the physics of quantum computing.
Introduces the concept of quantum computing for students familiar with linear algebra and introductory quantum mechanics.
Familiarise students with the fundamental theoretical concepts in machine learning and applying machine learning algorithms.
Quantum Machine Learning is a subject in the making that has to navigate the huge expectations of its parent disciplines. These expectations mean that there often is a large disparity between reality and fanciful hype.Today, quantum machine learning models cannot out-perform their classical counterparts. However, we cannot say for how much longer this will be the case: quantum technology is advancing at a tremendous speed.
This microcredential aims to equip students with a comprehensive understanding of the digital health ecosystem, focusing on the integration of: i) medical-grade devices and ii) consumer health devices (including fitness trackers, smartwatches, and health monitors) within healthcare.
Offers a unique opportunity for learners to enhance their digital competence and build their capacity to interpret data. It will familiarize them with basic machine reading techniques in subject areas that do not traditionally offer technical expertise. It will also enhance the career prospects of learners across a broad range of disciplines by equipping them with transferable digital skills and the capacity to work with data relevant to their academic discipline and beyond. Learners will benefit from a range of online lectures and workshops by experts in humanities and computer science.
This micro-credential delivers the basic techniques in Time Series Analysis. This course will mainly focus on examples in the world of economics and finance.
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Learn from 3 of Ireland’s leading universities with world renowned academic staff.
Our courses and modules range from levels 6 to 9 on the NFQ framework.
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Select from 11 key themes across Digital Transformation.
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Our corporate network is innovative and expansive across many sectors.
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Choose from a range of online, on-campus and blended learning modes designed to suit your needs.
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