Program start date | Application deadline |
2024-09-01 | - |
Program Overview
Course Overview
Almost everything we do results in data being created and stored somewhere. Individuals, communities, business and governments face major challenges in harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. There is an acute global shortage of talent and expertise in Data Analytics and Data Science. Due to the strong demand for these graduates and the leading edge quality of this particular programme, annual demand for places on the programme is extremely competitive.
This is an advanced MSc programme that is delivered full-time over one year, and provides graduates of Computer Science and closely related areas with in-depth knowledge and skills in the emerging growth area of Data Analytics and Data Science. The MSc in Data Analytics is delivered by a team of highly respected academics based in University of Galway that are considered international experts in their respective fields. Some of the topic areas include large-scale data analytics, advanced data-mining and machine learning, deep learning, information retrieval, natural language processing, data visualisation, web mining, linked-data analytics, simulation and modelling, and digital image processing.
This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, and students are expected to be already at a very high technical standard with regard to the technical elements of their computing background.
In addition to completing a range of advanced modules, students will then reinforce their newly gained skills through a 30-credit project that is completed during the summer and evaluated through a thesis (minor dissertation) format. For these projects, students work directly with an academic supervisor in their chosen area of specialisation, while they also can pursue the opportunity to collaborate with a research groups across University of Galway or with an industry partner.
The School of Computer Science Advanced MSc Scholarship (Artificial Intelligence, Data Analytics)
University of Galway, School of Computer Science is offering one scholarship for the MSc in Computer Science (Artificial Intelligence, Data Analytics) commencing September 2023; this scholarship, up to the full value of the EU tuition fee is awarded to the highest ranked graduate of the BSc Computer Science & IT undergraduate programme (GY350) among those who apply for the scholarship. This is open to all current GY350 final year students due to graduate in 2023, and all previous graduates of the programme.
Other scholarships available
Find out about our Postgraduate Scholarships here.
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You may also be interested in one of our other
Co
m
puter Science and Software Engineering
postgraduate programmes.
Applications are made online via the University of Galway Postgraduate Applications System.
Application requirements:
What is not required (please do not submit these)
Who Teaches this Course
Dr Enda Barrett
Prof Michael Madden B.E., Ph.D., M.I.E.I. View Profile
Dr Peter Paul Buitelaar PhD.
Senior Lecturer
School of Engineering
& Informatics
NUI Galway
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Dr Desmond Chambers B. Eng., M.Sc., Ph.D., C.Eng. View Profile
Prof Mathieu D'Aquin PhD View Profile
Dr. James Duggan B.E., M.Eng.Sc., Ph.D. View Profile
Dr Frank Glavin BSc; MSc, PhD.
LECTURER BELOW THE BAR
College of Engineering
& Informatics
NUI Galway
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Dr Josephine Griffith View Profile
DR CONOR HAYES B.A., M.Sc., Ph.D. View Profile
Mr Séamus Hill BA., MSc. View Profile
Dr Enda Howley B.Sc, Ph.D
Senior Lecturer
INFORMATION TECHNOLOGY
SCHOOL OF ENGINEERING
& INFORMATICS
IT BUILDING
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Dr. Edward Jones B.E., PH.D.
PERSONAL PROFESSOR
Electrical & Electronic Eng
Room 3044
Engineering Building
NUI Galway
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Dr Patrick Mannion B.Eng, Phd
Lecturer in Computer Science
IT Building
NUI Galway
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Dr. John Mc Crae M.Sc., PhD View Profile
Dr James Mc Dermott B.Sc., PhD View Profile
Dr. Cornelius Mulvihill View Profile
Dr Matthias Nickles BSc, MSc, PhD View Profile
Mr. Colm O'Riordan B.Sc, M.Sc, View Profile
Prof David O'Sullivan B.Sc., Dip.Mech.Eng., M.E.D., Ph.D. View Profile
Dr. Michael Schukat M.SC, PH.D View Profile
Dr Finlay Smith Ph.D View Profile
Program Outline
Course Outline
The MSc is a 90-ECTS course with three main elements: core modules (40 ECTS), optional modules (20 ECTS), and a substantial capstone thesis project (30 ECTS).
Core modules include:
Information Retrieval, Introduction to Natural Language Processing, Principles of Machine Learning, Programming for Data Analytics, Deep Learning, Web and Network Science, Data Visualisation, Case Studies in Data Analytics
Optional modules include:
Tools & Techniques for Large Scale Data Analytics, Modelling I, Statistics for Data Science 1, Applied Statistics I, Systems Modelling and Simulation, Discrete Mathematics, Knowledge Graphs, Advanced Topics in Natural Language Processing, Statistics for Data Science 2, Embedded Image Processing, Applied Statistics IIFrom Semester 2 onwards, students work on individual projects and submit them in August. Projects may have a research or applied focus.
Why Choose This Course?
Career Opportunities
Data analytics skills are required in every industry. Graduates will be excellently qualified to pursue exciting careers in national and multinational industries in a wide range of areas. Our graduates currently work for companies as diverse as IBM, SAP, Cisco, Avaya, Google, Fujitsu, Accenture, Paddypower.com, Merck Pharmaceuticals as well as many specialised companies and start-ups.
Opportunities include:
A career in Data Analytics?
Scholarships Available
Find out about our Postgraduate Scholarships here.
About University of Galway
Founded in 1845, we've been inspiring students for 178 years. University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching.
Prior Qualification:
this MSc is targeted at high-performing graduates of Level 8 (or equivalent) computer science programmes, or Level 8 (or equivalent) science/ engineering programmes that offer sufficient training in computing. The minimum academic requirement for entry to the programme is a First Class Honours (or equivalent) from a recognised university or third-level college. However, a good Second Class Honours (or equivalent) can be deemed sufficient on the recommendation of the Programme Director.
English Language Proficiency:
Overall, entry to the MSc requires a minimumIELTS
score of 6.5 in writing, with no less than 6.0 in any other band.TOEFL
: Overall 88, Listening 12–19, Speaking 18–19, Writing 24–26, Reading 13–18.PTE:
61 overall, no less than 61 in writing, and no less than 50 in any one other component.