Business Analytics

This technically-oriented course hones quantitative and computer techniques to assist students in exploring management issues and supporting decision-making within a business context.



Exposure to and practice of the latest cutting-edge qualitative and quantitative analysis techniques used in the fast-growing field of analytics as applied in business

Development of the necessary computer software skills and an understanding of the theory and practice of applied information systems, as required in consultancy and business

The ability to develop new software solutions and implement mathematical and quantitative techniques in order to make effective business decisions and boost performance

Subjects taught

Students complete 9 core modules over the course of 12 months.

In both the Autumn and Spring Trimesters, students complete 4 core modules.

In the Summer Trimester, students complete 1 core module plus 2 option modules.



Autumn Trimester:



Core Modules

Introduction to Business Analytics

Optimisation in Business

Statistical Methods

Programming for Analytics



Spring Trimester:



Core

Data Management and Mining

Technology Consulting

Decision and Behavioural Analytics

Business Decision Support Systems



Summer Trimester:

Capstone



Plus choose 2 Option Modules

Decision Modeling and Metaheuristics

Statistical Learning

Sports & Performance Analytics

Mastering Big Data

Hot Topics in Analytics



Please be advised that the above reflects the 2023/2024 curriculum structure and is subject to change each year. Option modules listed are indicative of what has been delivered in previous years and are also subject to change.

Entry requirements

A minimum second class honours primary degree (or equivalent) which includes quantitative techniques, including Engineering, Computer Science and other Sciences. Applicants with a Business studies background need to have taken MIS-Management Information Systems subjects, Maths or other quantitative courses.



A student may be asked to undertake the GMAT or GRE at the Director's discretion.

Assessment Info

You will be assessed by examination and continuous assessment, including individual and group assessments, presentations, reading assignments, and computer programming. Exams take place at the end of semesters 1 and 2.


In the summer term, the project (either dissertation or practicum) involves full-time work on a real analytics problem, generally with an Irish company. It is generally mathematically complex with a computer-programming element.

Duration

1 year Full-time B154

2 years Part-time B156

Fees

Fees Full-Time EU:

€14,460 (academic year 2020/2021)

Full-Time Non-EU:

€19,900 (academic year 2020/2021)

Part-Time EU:

€7,855 (academic year 2020/2021)

Part-Time Non-EU:

€9,950 (academic year 2020/2021)


Important Note: Tuition fees and other charges are subject to change each year.

Enrolment dates

Starting September 2024

Post Course Info

Career opportunities

Graduates of the MSc in Business Analytics go into analytics consultancy, data science, software/web/IT, customer analytics, finance, operations research, logistics, and more generally into analytics roles in a wide variety of industries.



97% of our graduates from this programme were employed after 6 months across a range of industry sectors. Source: Latest Graduate Outcomes Survey, published in December 2022.



Potential careers for our graduates include:



Business Analyst

Data Analyst

Data Scientist

Financial Analyst

Software Engineer

Acquisitions Analyst

Quantitative Analyst

Statistician

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Part time,Daytime

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    Course provider