| Entry Requirements |
Expand+Requirements
Candidates must have:
1. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) in computer science or mathematical sciences or
2. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) with a strong ...
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Candidates must have:
1. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) in computer science or mathematical sciences or
2. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases, the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a Second Class Honours Grade II in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered under Recognition of Prior Learning (RPL) if they have an undergraduate degree (NFQ, Level 8) and a minimum of 5 years of verifiable relevant industrial experience.
Applicants who do not have a primary degree will only be considered with a minimum of 10 years of verifiable relevant industrial experience.
Candidates from Grandes Écoles Colleges are also eligible to apply if they are studying a cognate discipline in an ENSEA or EFREI Graduate School and are eligible to enter the final year (M2) of their programme.
Shortlisted applicants who do not meet the standard entry requirements will be invited for an interview.
English Language Requirements
Applicants that are non-native speakers of the English language must meet the university approved English language requirements available at https://www.ucc.ie/en/study/comparison/english/postgraduate/
For applicants with qualifications completed outside of Ireland
Applicants must meet the required entry academic grade, equivalent to Irish requirements, available at https://www.ucc.ie/en/study/comparison/
International/non-EU applicants
For full details of the non-EU application procedure please visit our how to apply pages for international students. In UCC, we use the term programme and course interchangeably to describe what a person has registered to study in UCC and its constituent colleges, schools, and departments.
Not all courses are open to international/non-EU applicants, please check the fact file above.
For more information please contact the International Office.
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| Course Content |
Expand+Course Outline
Our MSc in Data Science & Analytics, jointly offered by the School of Computer Science and Information Technology and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combin...
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Our MSc in Data Science & Analytics, jointly offered by the School of Computer Science and Information Technology and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combination of sophisticated computing and statistics modules will develop your skills in database management, programming, summarisation, modelling, data visualisation, and interpretation of data. The programme provides graduates with an opportunity, through the development of a research project, to investigate the more applied elements of the disciplines.
Students must attain 90 credits through a combination of core modules (30 credits), elective modules (30 credits) and a dissertation (30 credits).
Why Choose This Course
This programme entails a significant collaboration between the School of Computer Science and Information Technology, and the Department of Statistics. It is designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever-increasing and complex data. We emphasise the application of Computer Science and Statistics methodologies helping transform data into useful information that can support decision making.
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| Careers or Further Progression |
Expand+Skills and Careers Information
Our MSc programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Our graduates will design, compare and select appropriate data analytic techniques, using software tools for...
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Our MSc programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Our graduates will design, compare and select appropriate data analytic techniques, using software tools for data storage/management and analysis, machine learning, as well as probabilistic and statistical methods. Such abilities are at the core of companies that constantly face the need to deal with large data sets.
Companies currently seeking graduates with data analytics skills include: firms specialising in analytics, financial services and consulting, or governmental agencies.
Companies actively recruiting our graduates:
Accenture, Aer Lingus, Agility M3, Allied Irish Banks, Altada Technology Solutions Ltd, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Central Statistics Office, Cisco, CiTi-Technology, Clearstream, Cloudreach, Dell EMC, Deloitte, Deutche Bank, Enterprise Ireland, Ericsson, Ernst & Young, Ervia, Facebook, First Derivatives, Google, Guidewire, Intel, IBM, Janssen, KPMG, Logitech, Microsoft, Open Text, Paddy Power, Pfizer, Pilz, PWC, SAP Galway, Screendragon, Transverse Technologies, Trend Micro, Tyco, Uniwink, Verizon Connect, Snipp Interactive, Version 1 (Software), Virgin One, VMware and more.
Starting salaries
There is an increasing demand for graduates that can collate, interpret, manage and store large volumes of data. Graduates can be employed as analysts, database administrators, data warehouse consultants, business intelligent consultants to name but a few. Employment agencies report typical salaries ranging from €45,000-€95,000 depending on industry and experience.
Salaries are in general higher than many other industries; see the Brightwater Salary Survey 2020 for an overview of salaries across relevant industries.
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