Business Analytics
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Trinity College Dublin

Business Analytics

Our MSc in Business Analytics is ideal for students with a quantitative background. It will equip graduates with the skills and knowledge to launch a career in this fast-expanding field. You gain critical thinking skills and develop expertise to analyse and organise business data and derive actionable insights from them. In an increasingly digital world, organisations now need evidence-based reports to inform decisions and organise the vast amounts of data from multiple sources.

This part 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.

Course Structure

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.

Subjects taught

MODULES*

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 Optimization
Marketing research and Analytics
Financial Modelling and Analysis
Operation Analytics
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.

Entry requirements

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.

Application dates

Closing Date 31st July 2022

IMPORTANT - We advise students to apply for this programme as early as possible as admission to the course is very competitive. The programme is subject to early closure as a result.

Duration

One year Full Time

More details
  • Qualification letters

    MSc/P.Grad.Dip

  • Qualifications

    Postgraduate Diploma (Level 9 NFQ),Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider