MSc Business Analytics

1 Year On Campus Masters Program

University College Cork UCC

Program Overview

The MSc in Business Analytics at UCC equips students with a portfolio of business forecasting, business intelligence, data management, and sustainability tools. It is ideal for graduates in quantitative fields (mathematics, statistics, computer science, engineering, economics, finance) who want to pursue careers in analytics, consultancy, or IT management.

Curriculum Structure

Year 1 (Taught Modules – 60 credits)

Students begin with technical foundations in EC6011 Business Forecasting, IS6061 Python for Business Analytics, and IS6051 Business Data Analysis & Visualisation. These modules build strong quantitative and programming skills, enabling students to handle large datasets and communicate insights effectively. Courses like IS6017 AI as a Disruptive Technology and IS6025 Design Thinking for Business Analytics introduce innovative approaches to problem-solving and the impact of emerging technologies on business.

Focus Areas

Business forecasting, predictive analytics, prescriptive analytics, data visualization, AI, sustainability, Python programming.

Learning Outcomes

Graduates will be able to:

Apply advanced statistical and computational techniques to business problems.
Use Python and analytics tools to generate actionable insights.
Lead data-driven decision-making in consulting, finance, and IT management.

Professional Alignment (Accreditation)

The program is delivered by Cork University Business School (CUBS), ensuring strong alignment with industry needs. Faculty members have significant industry experience in IT organizations, banks, and research agencies.

Reputation (Employability Rankings)

UCC is ranked among the top 2% of universities worldwide, with CUBS recognized for strong graduate employability. The MSc in Business Analytics reports excellent outcomes, preparing students for roles such as Business Analyst, Data Specialist, Consultant, Project Manager, and IT Manager.

Experiential Learning (Research, Projects, Internships etc.)

At UCC, the MSc in Business Analytics is designed to give you hands-on, practical experience with the very tools and methods used by industry leaders. You won’t just learn analytics in theory—you’ll actively apply it through coding, visualization, and real-world projects. The program emphasizes applied research, digital fluency, and sustainability, ensuring you graduate with both technical mastery and the ability to deliver actionable solutions in business contexts.

To make this experiential learning tangible, the program integrates multiple opportunities and resources:

Specialist Software & Digital Tools: Training in Python for Business Analytics (IS6061) and Business Data Analysis & Visualisation (IS6051) ensures you gain proficiency in programming, data handling, and visualization platforms used by employers.
Applied Group Research Project: In IS6611 Applied Research in Business Analytics, students collaborate on real-world business problems, applying predictive and prescriptive analytics to deliver practical solutions.
Innovation & Design Thinking: Modules such as IS6025 Design Thinking for Business Analytics and IS6017 AI as a Disruptive Technology immerse students in creative problem-solving and the application of emerging technologies.
Laboratory & Research Environment: Delivered through Cork University Business School (CUBS), the program integrates UCC’s Connected Curriculum, giving students access to research-led teaching and sustainability-focused projects.
Library & Research Resources: Students benefit from UCC’s extensive library system, including specialized databases for analytics, forecasting, and management science.
Industry-Relevant Context: Faculty members bring experience from IT organizations, banks, and research agencies, ensuring that classroom learning is directly connected to professional practice.

In short: You’ll graduate not only with advanced analytical knowledge but also with the practical skills and applied experience employers demand, thanks to UCC’s blend of coding, visualization, applied research, and industry-informed teaching.

Progression & Future Opportunities

Graduates of UCC’s MSc in Business Analytics are highly sought after, with 93% of UCC graduates securing employment within nine months of graduation. Alumni move into roles such as Business Analyst, Data Scientist, IT Project Manager, and Analytics Consultant, applying their skills across consulting, finance, IT, and operations. The program’s strong industry connections and applied research focus ensure graduates are ready to deliver immediate impact in the workplace.

Here’s how UCC supports your career journey:

UCC Career Services: Provides tailored support including CV workshops, interview coaching, employer networking events, and access to the Graduate Outcomes Survey to track employability.
Employment Stats & Salary Figures: Around 93% of UCC graduates are employed within nine months, with Computer Science and analytics-related graduates reporting salaries ranging from €28,000 to €145,000 per annum, depending on experience.
University–Industry Partnerships: Faculty members bring experience from IT organizations, banks, and research agencies, ensuring strong links to employers and real-world projects.
Long-Term Accreditation Value: Delivered by Cork University Business School (CUBS), the program benefits from UCC’s global reputation as a top 2% university worldwide.
Graduate Outcomes: Alumni progress into analytics consultancy, IT management, financial services, and operations research, with many advancing quickly into leadership positions.

Further Academic Progression:
After completing the MSc in Business Analytics, students who wish to continue their academic journey can pursue a PhD in Business Information Systems, Data Science, or related fields at UCC. This pathway allows graduates to deepen their expertise in advanced analytics, optimization, and digital transformation, preparing them for careers in academia, high-level industry research, or strategic leadership roles.