MSc Business Analytics

1 Year On Campus Masters Program

University of Limerick

Program Overview

The MSc in Business Analytics at UL is a one-year, full-time program designed for graduates who want to harness data-driven insights to solve complex business challenges. It suits students from business, finance, economics, engineering, computer science, and related fields, offering advanced training in analytics, decision-making, and digital transformation.

Curriculum Structure

Autumn Semester
Students begin by mastering core quantitative and technical skills. Modules such as Data and Analytical Decision Making (MI6201), Statistics for Data Analytics (MA6101), and Database Systems in Practice (CS6401) build strong foundations in statistical modeling, database management, and decision-making frameworks. Courses like Machine Learning & Applications (CS6501) and Project Management in Practice (MN6041) ensure students can apply predictive models and manage projects effectively in real-world contexts.

Spring Semester
The focus shifts to applying analytics in business environments. Students explore Data Governance & Ethics (IN6062), Applied Econometrics for Business (EC6062), and Digital Organisations, Markets & Consumers (MK6102), gaining skills in ethical data use, econometric analysis, and digital market dynamics. Modules such as Applied Big Data & Visualisation (CS6502) and Leadership, Influence & Change (PM6072) combine technical expertise with leadership development, preparing students to drive organizational change.

Summer Semester
Experiential learning takes center stage with Digital Futures Lab (MI6103) and Business Simulation (MI6303). These modules immerse students in design-led problem solving and strategic decision-making through interactive simulations, ensuring graduates can translate analytics into actionable business strategies.

Focus Areas

Data analytics, machine learning, econometrics, big data visualization, digital markets, leadership, and project management.

Learning Outcomes

Graduates will be able to analyze large datasets, apply predictive models, manage projects, lead organizational change, and design innovative digital strategies.

Professional Alignment (Accreditation)

The MSc is a Level 9 NFQ qualification, internationally recognized and aligned with professional and industry standards.

Reputation (Employability Rankings)

UL is consistently recognized for graduate employability, with strong industry partnerships through the Kemmy Business School. The program offers pathways into roles such as Business Analyst, Data Scientist, Financial Analyst, and Management Consultant, supported by UL’s reputation in Ireland and internationally.

Experiential Learning (Research, Projects, Internships etc.)

The Kemmy Business School equips you with advanced digital tools, access to the Glucksman Library’s extensive resources, and dedicated innovation spaces where you’ll practice solving complex problems with data.

From classroom learning, you’ll transition directly into applied experiences such as the Digital Futures Lab and Business Simulation modules, where you’ll work in teams, use industry-standard software, and sharpen your decision-making in realistic scenarios. This blend of theory and practice ensures you graduate with both technical expertise and the confidence to lead in data-driven environments:

Digital Futures Lab (MI6103): A design-focused lab tackling complex organisational and societal problems through mapping, analysis, and creative thinking.
Business Simulation (MI6303): Interactive, self-directed projects that replicate strategic decision-making in real companies.
Database Systems in Practice (CS6401): Training in relational and NoSQL databases, giving you practical skills with database management systems.
Machine Learning & Applications (CS6501): Hands-on exposure to machine learning methods and their business applications.
Applied Big Data & Visualisation (CS6502): Work with big data management tools and visualization platforms to present insights effectively.
Project Management in Practice (MN6041): Group projects applying project management principles with professional tools.
Glucksman Library: Access to books, journals, and digital resources tailored to analytics and business research.
Innovation Lab & Simulation Modules: Summer semester experiences designed to integrate all your skills in real-world contexts.
Dual Degree Option: Opportunity to study at one of five prestigious French business schools, expanding your international exposure.

These facilities and modules ensure you’re not just learning analytics — you’re practicing it in environments that replicate the challenges you’ll face in your career.

Progression & Future Opportunities

Graduates of this program are highly sought after in Ireland and internationally, moving into roles such as Data Analyst, Business Intelligence Consultant, Analytics Manager, and Project Manager. Employers value the blend of technical expertise and strategic insight you’ll gain, ensuring strong career prospects across industries.

And here’s how UL supports your progression with concrete outcomes:

Career Services & Cooperative Education Division: UL’s dedicated team provides tailored career guidance, employer connections, and access to the Graduate Outcomes survey, which tracks employment trends nine months after graduation.
Employment Stats: UL consistently reports high employability rates, with over 90% of graduates employed or in further study within nine months of finishing their degree .
Salary Figures: According to UL’s Graduate Outcomes survey, MSc graduates in analytics-related fields report competitive starting salaries, often exceeding the national average for postgraduate employment .
University–Industry Partnerships: The Kemmy Business School collaborates with leading companies in finance, technology, and consulting, ensuring students engage with real-world projects and employer-led initiatives.
Accreditation Value: The program is internationally recognized and benefits from UL’s AACSB accreditation, a mark of long-term credibility and global quality.
Graduate Outcomes: Alumni progress into analytics leadership roles across multinational corporations, consultancy firms, and public sector organizations, reflecting the program’s strong industry alignment.

Further Academic Progression:
After completing the MSc in Business Analytics, you could continue your academic journey by pursuing a PhD in Business Information Systems or related analytics fields at UL, deepening your expertise in data science, machine learning, and decision support systems. This pathway allows you to contribute to cutting-edge research while building a profile for academic or advanced industry leadership.