Data Science & Analytics

University College Cork

Ireland, Cork

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University College Cork

Ireland , Cork

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines8-Sep-2026

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Next Intake 8-Sep-2026

Data Science & Analytics

About

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.

Disciplines

Science

Engineering and Food Science

Requirements

Entry Requirements

For full details of the non-EU application procedure 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.
Note that not all courses are open to international/non-EU applicants, please check the fact file above. For more information contact the International Office.

English Language Requirements

Applicants who are non-native speakers of the English language must meet the university-approved English language requirements. Visit our PG English Language Requirements page for more information.

English Program Requirements

English Language Requirements (for Non-Irish EU applicants)

Teaching in Irish Higher Education Institutions (HEIs) is normally through the medium of English; therefore all applicants are required to demonstrate a high level of competence in the English Language.

Applicants whose first language is not English must provide evidence of equivalent competence in English Language through their school leaving examination or matriculation examination or by achieving the minimum standard (there may be higher levels for matriculation and/or particular programmes in individual institutions) in a recognised English language test, as specified below (note applicants are assessed on the results of a single sitting only):

UCC Language Centre Pre-sessional Programmes

These programmes are available to assist students who:

Have not achieved their required level of English for acceptance onto their undergraduate or postgraduate programme
Feel they do not have the academic or general English language skills necessary to succeed at the University

Find out more about the Language Centre's Pre-Sessional Programmes.

Career

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.