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 a global shortage of talent and expertise in Data Analytics and Data Science.

This MSc and Diploma programme will provide graduates of Computing or related degrees with the deep technical knowledge and analytical skills to succeed in this growth area.

 Applicants may apply for the following programme options:

  • 1-year MSc full-time (GYE06)
  • 2-year MSc part-time (GYE07)
  • 1-year Diploma (GY27) 

This is an advanced MSc programme that provides graduates of Computer Science and closely related areas with in-depth knowledge and skills in the emerging growth area of Data Analytics. It includes topics such as large-scale data analytics, advanced data-mining and machine learning, applied regression modelling, information retrieval techniques, natural language processing, data visualisation, Web mining, Linked-Data analytics, simulation and modelling, digital image processing. 

The course provides several foundational modules in topics such as probability and statistics and  programming techniques for data analytics. Students on the programme further deepen their knowledge of data analytics and science by working on a project either in conjunction with a research group or with an industry partner. 

Applications and Selections

Who Teaches this Course

Requirements and Assessment

 

Key Facts

Entry Requirements

This MSc is targeted at high- performing graduates of level 8 computer science programmes or level 8 science or engineering programmes that offer sufficient training in computing. Eligibility will be determined by the programme director. The minimum requirement for entry to the full-time and part- time programme is normally a 2.1 degree. Additionally, part-time applicants should have 3+ years of relevant industry experience and availability to attend lectures in NUI Galway. 

More information on the part-time option for this programme can be found here.

On an exceptional basis, candidates who do not meet the requirements stated above but are deemed by the programme director to have reached an equivalent standard may also be considered. 

English Language Requirement, MSc full-time, 1 year (PAC Code GYEO6): Overall, entry to the Data Analytics MSc GYE06 programme requires a minimum score of 6.5 IELTS, with  no less than 6.5 in the writing ability category and no less that 6 in the other categories.


Additional Requirements

Duration

Full-time MSc: 1 year;
Part-time Diploma: 1 year;
Part-time MSc: 2 years.

Next start date

September 2018

A Level Grades ()

Average intake

30

Closing Date

Please refer to the offer rounds/closing date webpage.

Next start date

September 2018

NFQ level

Mode of study

ECTS weighting

90

Award

CAO

PAC code

Full-time 1-year MSc: GYE06;
Part-time 2-year MSc: GYE07;
Part-time 1-year Diploma: GY27

Course Outline

The MSc option is an 90-ECTS course with three main elements: foundational modules (20 ECTS), advanced modules (40 ECTS), and a substantial capstone project (30 ECTS).

Students taking the 2-year part-time option will undertake a larger capstone project (40 ECTS) and take 10 ECTS less in taught module.

The 1-year part-time Diploma in Computer Science Data Analytics is a 30 ECTS programme. Diploma students will be eligible to progress to the 2nd year of the part-time MSc if they achieve a minimum of a 2.1 in the diploma year.

Foundational modules include: modules in Statistics & Probability; Machine Learning and Data Mining; Programming for Data Analytics; Tools and Techniques for Large Scale Data Analytics; Applied Regression Modelling; Digital Signal Processing.

Advanced modules include: Advanced Topics in Machine Learning and Information Retrieval; Natural Language Processing; Web-Mining; Linked-Data Analytics; Modern Information Management; System Modelling & Simulation; Embedded Image Processing; Data Visualisation and Case Studies in Data Analytics.

From semester II onwards, students work on individual projects and submit them in August. Projects may have a research or applied focus. 

Application requirements for the GYE06 (full-time)

Required:

  • 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

Application requirements for GYE07/GYE27 (part time options):

  • A personal statement
  • A CV
  • University Degree Transcripts
  • A letter of support from your employer

What is not required (please do not submit these)

  • secondary school certificates
  • training certificates
  • membership certificates

Further Education

  • This is a distinctive programme that is closely aligned to the research and teaching expertise of the Information Technology discipline and the Insight Centre for Data Analytics in NUI Galway.
  • It will opens the door for graduates  to new career opportunities in industry, in starting new ventures or  in PhD-level research.

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 startups.

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 NUI 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. 

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€6,800 p.a. (FT) €3,455 p.a. (PT) 2017/18

Fees: Tuition

€6,576 p.a. 2017/18

Fees: Student levy

€224 p.a. 2017/18

Fees: Non EU

€13,750 p.a. 2017/18

Information on International Scholarships is available here.

For EU students only 2017/18:
GYE06 full time EU €6,800;
GYE07 part time EU €3,455. p.a.

Find out More

Ms Mary Hardiman
T +353 91 493 836
E postgrad@it.nuigalway.ie
Information Technology .
More information on this course available here.