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Students
Tuition Fee
USD 30,108
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Computer Science | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 30,108
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

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:

  • A personal statement
  • A CV
  • University Degree Transcripts
  • Two references
  • IELTS/TOEFL certificate—only if English is not your mother tongue
  • What is not required (please do not submit these)

  • secondary school certificates
  • training certificates
  • membership certificates




  • 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

    View Profile

    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

    View Profile

    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

    View Profile

    Dr. Edward Jones B.E., PH.D.

    PERSONAL PROFESSOR

    Electrical & Electronic Eng

    Room 3044

    Engineering Building

    NUI Galway

    View Profile

    Dr Patrick Mannion B.Eng, Phd

    Lecturer in Computer Science

    IT Building

    NUI Galway

    View Profile

    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 II

    From 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:

  • The development of  innovative new services and products based on data analytics
  • The development of new types of data analysis services and solutions
  • The creation of leading-edge start-ups that provide analytics solutions and products.
  • PhD-level research in University of Galway, elsewhere in Ireland, or abroad
  • A career in Data Analytics?

  • Accenture, Gartner and McKinsey have all identified Data Analytics as one of the fastest growing employment areas in computing and one most likely to make an impact in the future.
  • The Irish Government’s policy is for Ireland to become a leading country in Europe for big data and analytics, which would result in 21,000 potential new employment opportunities in Ireland alone.
  • CNN has listed jobs in this area in their Top 10 best new jobs in America.
  • 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.

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    Admission Requirements

    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 minimum

    IELTS

    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.

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