University College Dublin

Overview

The MSc in Advanced Artificial Intelligence at University College Dublin delves into the complexities of machine learning and generative AI, emphasizing their real-world applications across various domains such as computer vision, healthcare analytics, speech and audio processing, time series analysis, and recommender systems. This program not only equips students with technical proficiency but also fosters a strong commitment to ethical AI development and responsible deployment practices.

What you'll study

The program comprises advanced taught modules, culminating in a final trimester dedicated to practical application. Core modules cover a range of critical topics, including:

• Foundations of Deep Learning
• Applied AI in Vision & Imaging
• Responsible Artificial Intelligence
• Advanced Machine Learning
• Optimisation Techniques
• AI and Ethics
• Advanced Generative AI & Large Language Models
• Machine Learning System Deployment

Students may also choose from a selection of optional modules, which may include:

• Artificial/Human Intelligence
• Human-Centred AI
• Introduction to Quantum Computing
• Optimisation Algorithms
• Recommender Systems
• AI for Time Series Analysis
• AI for Health
• Speech and Audio Processing
• Quantum Machine Learning
• Information Visualisation

In the final trimester, students can select one of the following pathways:

• Internship: Collaborate with an industry partner to apply AI methodologies in a professional environment.
• Dissertation: Undertake a research project with academic oversight.
• AI Project: Design and assess an AI solution for a specific challenge.

Note: Opportunities for internships and dissertations are competitive and not guaranteed.

Entry requirements

Applicants should possess a 2:1 honours bachelor’s degree (or equivalent) in Computer Science or a closely related field such as Computer Engineering, Informatics, Artificial Intelligence, Mathematics, or Physics. Additionally, candidates should meet the following minimum academic criteria:

• Completion of at least one module in machine learning, artificial intelligence, data science, or data mining.
• A module with a substantial programming component in one or more of the following languages: C, C++, C#, Java, Python, or R.

Career prospects

Graduates of the MSc in Advanced Artificial Intelligence will be well-prepared for a range of career opportunities in the rapidly evolving AI landscape. Potential roles include AI researcher, machine learning engineer, data scientist, and AI consultant across diverse sectors, including technology, healthcare, and finance. The program's strong focus on ethical AI development also positions graduates to lead responsible AI initiatives in their future workplaces.