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.
This MSc. course is 90 credits delivered over one academic year. The taught component comprises modules totalling 60 credits. Students also complete a substantial research project, which accounts for a further 30 credits, to be eligible for consideration for the award of the degree.
The full list of modules offered on the programme can be found here.
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.
Foundations of Business Analytics
Data Management and Visualization
Business Data Mining
Strategy for Analytics
Ethical and Privacy Issues in Business Data
Business Decision Optimization
Marketing research and Analytics
Financial Modelling and Analysis
Social Media Analysis
Big Data and AI in Business
* Modules subject to change
Dissertation – Your research project is the culmination of your degree, allowing you to demonstrate and apply the techniques and knowledge acquired from the taught modules to a problem of real world academic or managerial concern.
Admission requirements: An undergraduate honours bachelor degree of 2.1 grade or higher in a numerate discipline. Work experience is not required but is useful. Applicants from non?numerate disciplines will be considered only if they have at least 2 years of work experience in business analytics or related field. A GMAT/GRE result is not required but is useful.
Applicants whose first language is not English must meet the University's English Language Proficiency requirements.
Closing Date: 31st July 2023
One year Full Time
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Our dedicated career support team will help you to identify your ideal career path and provide tailored advice on how to achieve your career goals. Through workshops, one-to-one coaching, career psychometric tests, and visits from top global employers, students are introduced to our vast portfolio of company recruiters.
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.