Who is this course for?

The MSc Business Analytics is designed for curious, ambitious individuals who want to turn complex data into meaningful decisions. Whether you're a recent graduate or an early career professional, this course suits those with backgrounds in: 

• Business and Commerce
• Engineering and Computer Science
• Economics and Finance
• Mathematics, Physics or Data Science 

If you enjoy solving problems, working with numbers, and creating impact through evidence-based decision-making, you’re likely a strong fit. 

You don’t need to be a coding expert before joining - just a willingness to learn and a solid foundation in analytical thinking. The course is particularly suited to those aiming for careers in business intelligence, data-driven strategy, digital transformation, or performance analytics in fast-evolving sectors. 

Whether you want to future-proof your skillset, influence strategic decisions, or contribute to global challenges with data, the MSc Business Analytics gives you the tools to lead in a data-centric world. 

What will I study?  

The MSc Business Analytics is a full-time, one-year programme delivered across two semesters, followed by a summer capstone. You’ll complete 90 ECTS through core modules, electives, and a major applied project. 

Core Modules Include: 

• Database Systems
• Statistical Techniques for Business Analytics
• Business Modelling & Analytics
• Decision Theory, AI and Analytics
• Data Science & Big Data Analytics
• Enterprise Systems
• Advanced Programming for Business
• Storytelling Through Data Visualisation
• Applied Analytics in Business and Society
• Philosophy of Information and Information Ethics 

Elective Options May Include: 

• Strategic Management
• Systems Development & Project Management
• Business Applications Programming 

Capstone Experience: 

• A 30-credit Major Business Analytics Project, combining seminars, research skills training, and applied problem-solving. You’ll work with real datasets and contemporary challenges, refining your ability to deliver data-driven insight with impact.
• Industry speakers in 2024/25 included Keith Griffin (Site Leader, Cisco Galway), Luke Stoughton (The Data School), Dora Trachana (Uni. Fund), Naman Jain (Health Informatics at Ontario Health).
• In conjunction with the Business Analytics Society, students go on site visits to companies such as Cisco, Microsoft, and Accenture.

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

• Career-Ready Capstone Project: Tackle a real-world analytics challenge through a 30 ECTS applied project.
• Future-Focused Curriculum: Blend AI, ethics, data science, and decision theory in a modern syllabus.
• Specialisation Through Electives: Tailor your learning with options in strategy, systems development, and programming.
• Industry Collaboration: Learn from guest speakers, case studies, and projects shaped by employer input.
• In-Demand Skillset: Build expertise in Python, R, data visualisation, modelling, and storytelling.
• Real-Life Application: Work with live datasets and business scenarios to solve practical problems.
• Sustainability Integration: Explore how analytics supports ethical decision-making and responsible innovation. 

Graduates of the MSc in Business Analytics at University of Galway are entering a rapidly expanding field where data-driven decision-making is transforming industries across the globe. The programme equips students with the technical, analytical, and strategic skills needed to thrive in a variety of roles and sectors. 

Sectors & Employers:

Business analytics professionals are in high demand across multiple sectors, including: 

• Technology & Software: SAP, Dell Technologies, Genesys
• Healthcare & Life Sciences: Optum, Johnson & Johnson, MSD Dunboyne
• Finance & Banking: Bank of Ireland, Citi Group, AIB
• Consulting & Professional Services: EY, PwC, Accenture
• Telecommunications & Mobile Services: Anam Technologies
• Public Sector & Law Enforcement: An Garda Síochána
• Startups & SMEs: Regional employers in Galway and across Ireland 

Graduates have secured roles both regionally and internationally, with many working in Ireland, the EU, and beyond. 

Graduate Roles:

Recent graduates of this course have gone on to work for companies including: 

• Amazon
• Meta
• Pinterest
• EY
• SAP
• IBM
• Fidelity Investments
• Permanent TSB
• Johnson & Johnson
• Bank of America
• Ericsson
• Deloitte 
• First Derivatives
• Eir
• Wayfair
• PwC
• Bank of Ireland
• Scotiabank
• Microsoft
• TATA
• Accenture
• Hewlett Packard
• Boston Scientific
• Microsoft 

These positions offer strong starting points for career development, with many graduates progressing quickly due to their industry-ready skillsets. 

Career Progression: 

With experience, graduates can advance into senior and strategic roles, including: 

• Senior Business Analyst
• Analytics Consultant
• Data Scientist
• Project Lead in Cloud or AI Solutions
• Chief Data Officer
• Director of Business Intelligence 

The programme’s emphasis on leadership, communication, and decision-making prepares students to take on managerial and cross-functional responsibilities as their careers evolve. 

Skills & Expertise: 

The field of business analytics is experiencing explosive growth, driven by: 

• Increased reliance on AI and automation
• Expansion of data governance and ethics
• Demand for real-time analytics in customer experience and supply chains
• Skills shortages in data science, predictive modelling, and data visualisation 

Employers consistently seek candidates with: 

• Proficiency in data analytics tools (e.g., Tableau, SAP BI, Python, R, SQL)
• Strong problem-solving and decision-making abilities
• Knowledge of AI, machine learning, and big data
• Business acumen and strategic thinking
• Effective communication and storytelling through data 

This MSc programme blends technical modules with business-focused learning, ensuring graduates can translate complex data into actionable insights. 

Graduates interested in research or academia can pursue PhD programmes in data science, information systems, or AI ethics, Postdoctoral fellowships or teaching and research roles in universities or research centres.

• Prof. Eoin Whelan
• Dr. Pierangelo Rosati
• Dr. Anatoli Nachev
• Dr. Anastasia Griva
• Dr. Mona Isazad Mashinchi
• Dr. Umair Ul Hussan
• Dr. Blair Wang
• Dr. Lorraine Morgan
• Dr. Sharon Coyle
• Dr. David Kreps 

How will I learn?

The MSc in Business Analytics combines innovative teaching methods with practical, hands-on learning to ensure a comprehensive educational experience. You will learn through a mix of interactive lectures, seminars and workshops led by expert faculty. Real-world case studies, data-driven projects and coding exercises will enable you to apply theoretical knowledge to practical problems. 

Group projects and collaborative activities will enhance your teamwork and communication skills, while individual assignments and will help you develop independence and critical thinking.  

Throughout the programme, you will have access to cutting-edge resources, including industry-standard software and real-world datasets, to support your learning and professional growth 

How Will I Be Assessed? 

The programme is assessed in a variety of ways, including coursework, examinations, and a major project which is completed over the duration of the programme. Modules are assessed through a combination of written examinations, continuous assessment, assignments, and applied projects. In addition to traditional written reports, the program's deliverables encompass a diverse array of media and outputs, reflecting the multifaceted nature of contemporary business analytics. Students are encouraged to broaden their communication skills and leverage technology in innovative ways to convey their findings and insights effectively. 

Staff who teach on the MSc Business Analytics engage in research-led teaching to inform contemporary aspects of curriculum content. This includes their own research findings or the research outputs of others for example, using academic and industry published articles for case study or student reading material. Staff teaching on the MSc Business Analytics programme are also team members of various School research groups such as: 

• Insight, the SFI Centre for Data Analytics: the mission of this research centre is to derive value from Big Data and provide innovative technology solutions for industry and society by enabling better decision-making.
• Lero, the SFI Software Research Centre: the mission of the research group is to deliver world-class, high-impact research through industry collaboration. It develops, implements and evaluates leading software development and management practices. 

Programme Administrator

Ms Melissa O’Hea 
E: bis@universityofgalway.ie 

Programme Director(s):  

Dr Pierangelo Rosati 
E: pierangelo.rosati@universityofgalway.ie  

Professor Eoin Whelan 
E: eoin.whelan@universityofgalway.ie  

Q: Who is this course suitable for?
A: If you are analytical, curious, and eager to turn data into decisions, this course is for you. It is ideal for graduates from business, economics, engineering, IT, or science backgrounds who want to build advanced skills in analytics and strategy. Whether you are launching your career or pivoting into a data-focused role, you'll find the tools and support to thrive. 

Q: What will I study on this programme? 
A: You’ll explore everything from data science and programming to decision theory and ethical analytics. Core modules include: 

• Database Systems
• Business Modelling & Analytics
• Data Science & Big Data Analytics
• Advanced Programming
• Applied Analytics
• Information Systems Strategy and Innovation 

You’ll also choose electives and complete a 30 ECTS Major Business Analytics Project, applying your learning to a real-world challenge. 

Q: How is the programme assessed? 
A: Assessment is varied and practical. You’ll complete: 

• Individual and group assignments
• Presentations and case studies
• Written exams
• A final Major Applied Project instead of a traditional dissertation

This mix ensures you’re evaluated on both technical ability and strategic thinking. 

Q: What kind of practical experience will I gain? 
A: Plenty! You’ll work with live datasets, tackle real business problems, and engage in seminars led by industry experts. The capstone project lets you apply your skills in a hands-on setting, often shaped by current industry challenges. You’ll also gain exposure to tools like Python, R, Tableau, and SAP. 

Q: What roles do graduates go on to?
A: Graduates land roles such as: 

• Business Analyst
• Data Analyst
• Business Intelligence Consultant
• Credit Risk Analyst
• DevOps & Security Consultant
• Operations Specialist 

Many progress into senior roles like Analytics Manager, Data Scientist, or Strategy Lead within a few years. 

Q: What companies hire MSc Business Analytics graduates? 
A: Employers include: Amazon, Meta, Pinterest, EY, SAP, IBM, Fidelity Investments, Permanent TSB, Johnson & Johnson, Bank of America, Ericsson, Deloitte, First Derivatives, Eir, Wayfair, PwC, Bank of Ireland, Scotiabank, Microsoft, TATA, Accenture, Hewlett Packard, Boston Scientific, and Microsoft 

Graduates are working across Ireland, the EU, and globally. 

Q: Are industry connections part of the programme? 
A: Absolutely. The course features: 

• Guest lectures from leading professionals
• Industry-led seminars
• Employer-designed projects
• Career workshops and networking events 

These connections help bridge the gap between classroom and career. 

Q: What transferable skills will I develop? 
A: You will graduate with a toolkit that’s valuable across industries: 

• Data Analysis & Interpretation - Make sense of complex datasets
• Programming - Use Python, R, and SQL to build solutions
• Business Modelling - Simulate scenarios and forecast outcomes
• Data Visualisation - Communicate insights through dashboards and storytelling
• Strategic Thinking - Solve problems with a business-first mindset
• Ethical Reasoning - Navigate data governance and responsible AI
• Communication & Collaboration – Work effectively in teams and present with impact
• Project Management - Deliver results in agile, deadline-driven environments

University of Galway recognises that knowledge and skills can be acquired from a range of learning experiences. This is in line with the National Framework of Qualifications (NFQ) goals which aim to recognise all learning achievements by supporting the development of alternative pathways to qualifications (or awards) and by facilitating the recognition of prior learning (RPL). 

The following are a list of the transferrable skills you will acquire upon completion of this programme:

Data Analysis & Interpretation: Ability to extract insights from complex datasets using statistical and computational techniques. 

Programming Proficiency: Skills in languages like Python, R, and SQL for data manipulation, modelling, and automation. 

Business Modelling: Designing analytical frameworks to simulate scenarios, forecast outcomes, and support strategic decisions. 

Data Visualisation & Storytelling: Presenting data clearly and persuasively using tools like Tableau and Power BI to influence stakeholders. 

Critical Thinking & Problem Solving: Applying logic and creativity to solve real-world business challenges with data-driven solutions. 

Decision Theory & Strategic Insight: Understanding how organisations make decisions and how analytics can improve outcomes. 

Ethical Reasoning & Information Governance: Navigating data privacy, bias, and responsible AI use in line with global standards. 

Communication & Collaboration: Translating technical findings into actionable business language and working effectively in cross-functional teams. 

Project Management: Planning, executing, and delivering analytics projects on time, often in agile or iterative environments. 

Adaptability & Lifelong Learning: Staying current with emerging technologies, tools, and trends in a fast-evolving digital landscape. 

These skills empower graduates to work across sectors - from finance and healthcare to tech and consulting - and to grow into leadership roles as data-driven decision-makers. 

Minimum Entry Requirements  

Normally a H2.1 degree (NFQ Level 8 or equivalent). However, candidates with a H2.2 honours degree and who have a minimum of 2 years relevant work experience will also be considered.. IELTS score of 6.5 or equivalent, if applicable. 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. 

Academic entry requirements standardised per country are available here.  

English Language Entry Requirements  

For applicants whose first language is not English, an English language proficiency of IELTS score of 6.5 is required (with no less than 6.5 in Writing and no less than 6.0 in any other band) or equivalent.  

More information on English language test equivalency are available here.  

Supporting Documents

You will be required to provide supporting documentation as part of your application. You can check here what supporting documents are required for this course.   

You can apply online to the University of Galway application portal here.  

Please review the entry requirements set out in the section above.  

You will be required to upload supporting documentation to your application electronically. See the section above on entry requirements for further information on the supporting documentation required for this course.  

Closing Dates 

For this programme, there is no specific closing date for receipt of applications. Applications will be accepted on a rolling basis and course quotes will be reviewed continuously throughout the application cycle.  

Notes 

• You will need an active email account to use the website and you'll be guided through the system, step by step, until you complete the online form.
• Browse the FAQ's section for further guidance.

Fees for Academic Year 2025/2026

Course Type	Year	EU Tuition	Student Contribution	Non-EU Tuition	Levy	Total Fee	Total EU Fee	Total Non-EU Fee
Masters Full Time	1	€11,500		€21,000	€140		€11,640	€21,140

For 25/26 entrants, where the course duration is greater than 1 year, there is an inflationary increase approved of 3.4% per annum for continuing years fees.

Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €4,000 towards your tuition (2025/26).  You will be liable for the remainder of the total fee.  A P1 grant is where SUSI will pay tuition up to a maximum of €6,270. SUSI will not cover the student levy of €140.

Note to non-EU students: learn about the 24-month Stayback Visa here. 

Postgraduate Excellence Scholarships 

This scholarship is valued at €1,500 for EU students applying for full-time taught master's postgraduate courses. You will be eligible if: 

• You have been accepted to a full-time taught master's course at University of Galway,
• You have attained a first class honours (or equivalent) in a Level 8 primary degree.  

An application for the scholarship scheme is required (separate to the application for a place on the programme). The application portal for 2025 is now open and available here. Applications will close on the 30th September 2025. Full details available here.  

Global Scholarships 
University of Galway offers a range of merit-based scholarships to students from a number of countries outside of the EU. Visit here for schemes currently available.  

Business Merit Postgraduate Scholarships 

At J.E. Cairnes School of Business and Economics, we are committed to attracting top students from around the world. Our Merit Scholarships provide up to 50% tuition fee coverage across our Taught Master's programmes for high-achieving students. 

Key Highlights: 

No application required - All eligible candidates are automatically considered. 
Eligibility - Achieve a H1 (or international equivalent) in your primary degree. 
Competitive selection process - Scholarships are awarded based on merit. 

 How to Qualify: 

✔ Accept your offer on a Taught Master's programme. 
✔ Pay the required deposit to secure your place. 

Application Process 

Students applying for full time postgraduate programmes from outside of the European Union (EU), You can apply online to the University of Galway application portal here.  

Our application portal opens on the 1st October each year for each the following September.   

Further Information 

Please visit the postgraduate admissions webpage for further information on closing dates, documentation requirements, application fees and the application process.