Business Analytics

Course Overview

Our M.Sc. in Business Analytics is designed for students with a quantitative background. The programme equips graduates with the skills and knowledge to launch a career in this fast-expanding field. In an increasingly digital world, organisations now need evidence-based reports to inform decisions and organise vast amounts of data from multiple sources.



This semi-technical course will focus on the application of modern operational research and management science techniques to solve business problems and support management decisions. Gain a wide range of capabilities including technical skills, business knowledge, and advanced problem-solving methods. Students will be introduced to various analytic frameworks like CRISP-DM and gather an understanding of the rising global legislation in the area of data management. In the final term, students can choose to complete an industry project to gain real business experience or pursue a dissertation on a topic of their choosing.



Trinity Business School: More than a degree

We are a globally renowned, triple-accredited business school delivering an ultra-modern educational experience and innovative research from the heart of Dublin’s thriving capital city. At Trinity Business School, we offer programmes that will push you to reach your full potential. Immerse yourself in the latest business theory and practice, unlock powerful alumni and career networks, and accelerate your career prospects and success.



We aim to produce graduates who will become future change-makers and who seek to shape and transform business for good.

Course Content

This one-year full-time course delivers 12 core modules designed to build knowledge and understanding of Business Analytics.



Modules may include: Foundations of Business Analytics; Data Management and Visualization; Business Data Mining; Business Forecasting; Strategy for Analytics; Ethical and Privacy Issues in Business Data; Business Decision Optimisation; Marketing research and Analytics; Financial Modelling and Analysis; Operation Analytics; Social Media Analysis; and Big Data and AI in Business.



Students will undertake a research project to showcase the knowledge they have gained and enhance their career potential by specialising in a particular area

Admission Requirements

Applicants are required to posses a minimum 2.1 Honours degree or international equivalent. They should also have two academic referees (applicants with work experience can instead provide one academic and one professional referee).



English Language Requirements

All applicants to Trinity are required to provide official evidence of proficiency in the English language. Applicants to this course are required to meet Band B (Standard Entry) English language requirements. For more details of qualifications that meet Band B, see the English Language Requirements page.

Closing Date: 31st July 2025

One year Full Time.

Next Intake: September 2025

Career Opportunities

Our dedicated Careers & Community team is dedicated to supporting our students and alumni in exploring career options, preparing effectively for their next career move, and making informed career decisions that will develop and shape their futures through workshops and tailored individual career sessions.



Specialised in career development, the team can help you to identify suitable career paths and provide tailored advice on how best to achieve your career goals through workshops, one-to-one coaching, and psychometric assessments. They deliver a wide range of career sessions with defined learning outcomes and arrange company and recruitment consultancy presentations, job fairs, and networking events.



Data analytics has become a critical and in-demand skill as business becomes increasingly digital. Our students will be equipped for careers in all business sectors such as government, healthcare, education, transportation, and many others where decisions and policies need to be supported with data-based evidence. Business analytics professionals can gain employment in a variety of roles such as Operations Analysts, Data Scientist, Management Consultant, Financial Analyst and Project Associate.