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