Business Analytics - MSc

During this programme, you will:  

• Learn how to use business analytics to solve problems and make smart, well-rounded decisions that consider all areas of a business. 

• Build critical thinking and decision-making skills using both numbers (quantitative tools) and context (qualitative insights). 
  
• Develop leadership and teamwork skills, like emotional intelligence, curiosity, and strategic thinking, that are essential for managing people and driving change. 

• Cultivate a strong sense of ethics and responsibility, encouraging graduates to make a positive impact on society and the business world. 

Key Information:  

• Complete full-time over one year  
   
• Modules taught during autumn, spring and summer semesters   

• In the first semester, you will develop strong quantitative skills 

• In the second semester, you will learn how to apply these skills to real-world business contexts 

• In the summer semester, you will apply your skills to complex scenarios with our innovation lab and simulation modules  

• Option to exit with Graduate Diploma after spring semester  

• Option to pursue a dual degree with a choice of five prestigious French business schools. For more information, please see here: Masters Dual Degree | University of Limerick 

You will learn through a blend of:   

• Lectures, workshops, and hands-on activities   
   
• Regular feedback from faculty and peers   

Year 1 

Autumn Semester 

• Data and Analytical Decision Making (MI6201) will examine how data analysis technologies can be used to improve decision-making and the changing nature of decision making in an organisational context.
   
• Statistics for Data Analytics 9 (MA6101) is a module focusing on data collection, visualization, probability distributions, hypothesis testing, correlation, and regression models for predictive analytics. 

• Database Systems in Practice (CS6401) aims to introduce the relational data model alongside NoSQL data models with an emphasis on the development of practical skills for work with database management systems. 

• Machine Learning & Applications (CS6501) equips students with an understanding of the key principles and methods in the field of Machine Learning. 

• Project Management in Practice (MN6041) provides the knowledge, skills and understanding to apply project management principles, tools and techniques to deliver value to the organisation. 

 
Spring Semester  

• Data Governance & Ethics (IN6062) provides a conceptual framework relating to ethics, and governance, that informs data analytics activities and research. 

• Applied Econometrics for Business (EC6062) covers a range of techniques widely used in modern applied econometric work and demonstrates how they are applied to specific areas of economic enquiry. 

• Digital Organisations, Markets & Consumers (MK6102) introduces you to the complexities and dynamics of digital markets, organisations and consumers. 

• Applied Big Data & Visualisation (CS6502) serves as an introduction to big data management and associated issues. 

• Leadership, Influence & Change (PM6072) examines the nature of leadership and how it is linked to organisational culture and change management. 

Students have the option to exit with a Graduate Diploma in Business Analytics.  

Summer Semester 

• Digital Futures Lab (MI6103) uses a design approach to address complex organisational and societal problems through mapping, analysis and creative thinking. 

• Business Simulation (MI6303) provides an interactive, self-directed, experiential learning experience, engaging and developing students in strategic decision making. 

Books and journal articles needed for the course will be available online through the UL Glucksman Library. 

For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules 

• Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honours, grade 2 (2:2) in a relevant discipline e.g. business, finance, economics mathematics, engineering, computer science, etc.  
   

Other Entry Considerations: 

We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme. 

At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy. 

International students:  

• For details on country-specific qualifications visit postgraduate entry requirements for international students. 

Checklist of Documents: 

• *Academic transcripts and certificates
  • UL graduates only need to provide their student ID.
• Copy of your birth certificate or passport
• English translation of your qualifications and transcripts
• Copy of your CV 

English Language: 

• English Language Competency certificate 

• For details on accepted language qualifications visit English Language Requirements 

Guidelines on Completing your Application  

• To make sure we can review your application quickly, please:
  • Upload all documents. Your application can’t be reviewed until we have all the documents on the checklist.
  • Title the documents you are uploading. For example, "Personal Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
• *If you are waiting to graduate, submit your application with the documents you have to date, you don’t need to have finished final exams before applying.

EU - €12,200

Non- EU - €20,400

Annual fees are billed by semester. Once registered, students may be eligible to apply for a monthly payment plan.  

Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie).  

Funding 

Find further information on funding and scholarships.

This course can lead to the following sectors and careers:  

• Business analyst
• Financial Analyst
• Quantitative Analyst
• Management Consultant
• Data Analyst
• Data Scientist
• Project Manager
• Supply Chain Manager
• Research Analyst