Course Overview

The MSc in Business Analytics provides students with the skills and knowledge to manage and develop business analytics within organisations. The programme is designed as a specialist course, which assists students in blending their existing talents with the technological skills and business knowledge needed to use and manage big data and business analytics in modern knowledge-based organisations.


Applications and Selections

Applications are made online via The Postgraduate Applications Centre (PAC). Relevant PAC application code(s) above.

Who Teaches this Course

Requirements and Assessment

Semester One exams: December. Semester Two exams: April/ May. A range of assessment methods are integrated and assessed throughout the programme. These include projects, reports, presentations, and case studies.

Key Facts

Entry Requirements

Applicants should normally hold a qualification from a university or other internationally recognised academic institution or authority, corresponding to Level 8 of the Irish National Framework of Qualifications (NFQ), to a minimum standard of Second Class Honours (or equivalent). The qualification must include an element of quantitative techniques, for example, graduates of Business Studies, Engineering, Computer Science, other Sciences, Mathematics or other courses that have some quantitative content.

Additional Requirements


1 year, full-time

Next start date

September 2017

A Level Grades ()

Average intake


Closing Date

Please refer to the offer rounds/closing date webpage.

Next start date

September 2017

NFQ level


Mode of study


ECTS weighting





PAC code


Course Outline

The programme is a taught Masters programme and consists of lectures, workshops, guest lectures from industry experts, and hands-on technology tutorials. Modules are assessed via continuous assessment, written assignments, applied projects and written examinations. The programme is comprised of the following modules:
• Database Systems (5 ECTS [credits])
• Business Applications Programming (5 ECTS)
• Strategic Management (5 ECTS)
• Decision Systems & Business Analytics (5 ECTS)
• Statistical Techniques for Business Analytics (5 ECTS)
• Decision Theory & Analysis (5 ECTS)
• Advanced Applications Programming (5 ECTS)
• Enterprise Systems (5 ECTS)
• Information Systems Security & Ethics (5 ECTS)
• Information Systems Strategy & Innovation (5 ECTS)
• Applied Customer Analytics (5 ECTS)
• Data Science & Big Data Analytics (5 ECTS)
• Business Intelligence with SAP (10 ECTS)
• Project (20 ECTS).

Why Choose This Course?

Career Opportunities

The Expert Group on Future Skills Needs in Ireland, expect that in the next 7 years between 4,000 and 17,000 additional jobs in Business Analytics will be created in Ireland. This programme has been designed to meet the growing demand for graduates with Business Analytics capabilities identified by the Expert Group on Future Skills Needs in Ireland.

Who’s Suited to This Course

Learning Outcomes


Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€6,755 p.a. 2017/18

Fees: Tuition

€6,531 p.a. 2017/18

Fees: Student levy

€224 p.a. 2017/18

Fees: Non EU

€13,250 p.a. 2017/18

Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €2,000 towards your tuition.  You will be liable for the remainder of the total fee.  An F5 grant is where SUSI will pay TUITION up to a maximum of €6,270.  SUSI will not cover the student levy of €224.

Postgraduate fee breakdown = tuition (EU or NON EU) + student levy as outlined above.

Find out More

Ms Emma Brinton
T +353 91 492 308

Meet our Graduates


Emma Beatty |   Cloud Product Support Engineer, SAP

“The MSc. Business Analytics gave me a great introduction into the areas of analytics and big data. It was an invaluable learning experience, the course was consistently engaging and the mixture of different subjects was particularly advantageous. The different modules provided me with the necessary tools and techniques that have allowed me to find employment in SAP, working as a Cloud Product Support Engineer.”