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.
Provides an introduction to the field of cryptography, with an emphasis on modern techniques used in the real world.
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.
Introduction to probability and statistical inference, focusing on understanding concepts and methodologies.
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.
Introduces learners to the world of information security addressing the major issues that security specialists encounter 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 micro-credential covers essential and fundamental principles of statistics as applied in biology, medicine, and related fields.
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.
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.
Covers advanced use of R and Rstudio, following on from the Data Programming with R module.
Focuses on the analysis of relational data and reviews the available methodologies and algorithms that can be employed to model network interactions.
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.
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.
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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