Dublin, Ireland
DEGREE TYPE
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest start date
TUITION FEES
EUR 25,000
STUDY FORMAT
On-Campus
Key Summary
Introduction
The MSc in Computing offers a choice of Majors, designed to equip graduates with a range of cutting-edge skills, enabling them to produce high-quality software and systems that deliver solutions to business and the economy.
Natural Language Processing (Full Time Only)
Natural Language Processing (NLP) combines computer science, linguistics and artificial intelligence. The aim of NLP is to develop computer programs with the ability to understand and produce text, as demonstrated in recent chatbots like ChatGPT, LaMDA, and BARD. NLP is an exciting field, because it has the potential to transform the way we interact with machines and each other, and to make our lives easier and more efficient. In cutting-edge research, large language models like the one at the heart of ChatGPT are even beginning to be used for increasingly general AI system development.
Natural Language Processing specialists are in high demand. They are needed to develop and improve technologies such as text classifiers, chatbots, virtual assistants, and language translation systems, which are used by many industries, including e-commerce, healthcare, finance, and more. With the increasing amount of data being generated, the ability to process and understand human language has become crucial for many businesses to make informed decisions. As a result, there is a shortage of skilled NLP professionals, and companies pay highly competitive salaries to attract talent in this field.
This is the first Natural Language Processing master’s degree in Ireland. It has been developed by world-leading academics working in NLP, and is taught by a team of experts from a diverse range of computer science backgrounds including natural language processing, data science, artificial intelligence, and machine learning. An expert panel of industry NLP professionals will deliver a series of guest lectures and engage in practicum supervision. Taught intensively over nine months and building on your background in computer science, this master’s will equip you with the skills you need for a successful career in this fast-growing field.
Data Analytics (Full Time and Part Time)
This exciting new Major, delivered in conjunction with leading industry players, builds on the School of Computing's expertise and its involvement with Insight, Science Foundation Ireland's Centre for Data Analytics and ADAPT, the centre for new Human Centric AI techniques. Technologies such as the internet, sensor nets, social media and cloud computing are generating vast amounts of data. To say we are drowning in information is an understatement. Yet in this vast amount of raw data, there are gems of knowledge that can be used to improve processes and generate value. This Major provides students with a deep understanding of the issues, techniques and tools to examine large amounts of raw data in order to extract meaningful conclusions from the information these contain.
Artificial Intelligence (Full Time Only)
There is a strong demand for graduates with the highly specialised multi-disciplinary skills that are required in AI, both as practitioners in the development of AI applications and as researchers into the advanced capabilities required for the creation of next-generation AI systems. This Major is designed to meet this educational need, by providing a balanced programme of instruction across a range of relevant areas.
Secure Software Engineering (Full Time and Part Time)
In this modern age of increased data usage and ubiquitous computing the security of software is more important than ever. This updated and revised MSc. Major in Secure Software Engineering builds a firm base of advanced software engineering skills and emphasises security from start to finish. It will be appropriate for all those tasked with building and researching secure software systems.
Please Note: Part time lectures are scheduled between 4-7pm two evenings a week
Admissions
Curriculum
The strong practical focus of the programme culminates in a project practicum, carried out over the summer months. Typically, students will develop a prototype software system in their Major area that targets a real-world problem. They may also analyse processes or techniques, and propose and evaluate alternatives. Most projects are individual but, exceptionally, may be carried out as part of a team.
Students may also be sponsored by external clients or develop their own ideas. Typically, projects commence with a feasibility study, followed by the creation of a project plan and development of a software application or rigorous theoretical analysis.
Over the duration of the programme, students will develop employment-enhancing skills across a number of key areas. These include:
- Enhancement of proven ability to engineer software
- Improvement of knowledge of operating systems and networks
- Development of strong, team-based skills, developed through significant project work during the course
- Enhanced communication skills through scheduled presentations to lecturers and peers
- Improved understanding of the business and social context of their work and awareness of new directions
- Development of research skills to enable contribution of novel ideas, methods and tools to new challenges in their professional careers.
Please Note: Part time lectures are scheduled between 4-7pm two evenings a week
Natural Language Processing
- Foundations of Natural Language Processing
- Introduction to Machine Learning
- Professional & Research Practice
- Human Factors in NLP
- Deep Learning for Natural Language Processing
- Advanced Machine Learning
- Data Analytics & Data Mining
- Machine Translation (Elective)
- Mathematical Methods/Computational Science (Elective) (all of the above are 7.5 ECTS each)
- NLP Practicum (30 ECTS)
Data Analytics
- Professional & Research Practice (7.5 ECTS)
- Statistical Data Analysis (7.5 ECTS)
- Cloud Technologies (7.5 ECTS)
- Data Management and Visualisation (7.5 ECTS)
- Mathematical Methods/Computational Science (7.5 ECTS)
- Artificial Intelligence, Information and Information Seeking (7.5 ECTS)
- Data Analytics and Data Mining (7.5 ECTS)
- Machine Learning (7.5 ECTS)
- DA Practicum (30 ECTS)
Artificial Intelligence
- Professional and Research Practice (7.5 ECTS)
- Foundations of Artificial Intelligence (7.5 ECTS)
- Statistical Data Analysis (7.5 ECTS)
- Data Analytics and Data Mining (7.5 ECTS)
- Machine Learning (7.5 ECTS)
- Artificial Intelligence, Information and Information Seeking (7.5 ECTS)
- Data Management and Visualization (7.5 ECTS)
- Statistical Machine Translation (Elective) (7.5 ECTS)
- Mechanics of Search (Elective) (7.5 ECTS)
- AI Practicum (30 ECTS)
Secure Software Engineering
- Professional & Research Practice (7.5 ECTS)
- System Software (7.5 ECTS)
- Secure Programming (7.5 ECTS)
- Cryptography and Number Theory (7.5 ECTS)
- Formal Programming (7.5 ECTS)
- Concurrent Programming (7.5 ECTS)
- Software Process Quality (7.5 ECTS)
- Network Security (7.5 ECTS)
- SSE Practicum (30 ECTS)
Scholarships and Funding
Faculty of Engineering & Computing International Scholarship
This scholarship is available for Non-EU applicants who have received an offer to study on eligible postgraduate programmes in the Faculty of Engineering and Computing. Successful recipients will receive a €5,900 fee reduction on the full-time 2025–2026 Non-EU Tuition fee.
Career Opportunities
The MSc in Computing aims to help meet the demand from industry for recruitment of personnel with significant exposure to relevant, advanced topics in computing. This programme is suitable for both experienced professionals and recent graduates. It enables software professionals with a number of years' experience to improve proficiency across a range of key disciplines in the field and to update skills beyond the narrow remit of training courses. It also supports recent graduates of computing and cognate disciplines to gain specialised knowledge and skills for higher-level industry entry at an early stage in their careers.
The focused nature of the majors on our MSc in Computing will ensure that you are in a pole position to gain employment in a wide range of jobs in Ireland and overseas. Graduates of this course have gained employment as a:
- Software Engineer
- Computer Programmer
- IT Project Analyst
- Performance Engineer
- Python/Java Developer
- Web Applications Developer
- Business Analyst
- Technical Analyst
- Technical Consultant
- Data Analyst
Our graduates have gone on to successful careers in leading companies including Google, Facebook, Hubspot, Intel, Apple, Amazon, Microsoft and much more.