Program Overview

Business Analytics – MSc

Course Overview

The MSc in Business Analytics provides students with a portfolio of business and analytical skills to solve business problems and support decision making. The course has been designed specifically to fill the 5,000 new jobs in Business Analytics that will be created in the next 5 years in Ireland (National Skills Council, 2022). Ireland currently has a shortage of Business Analytics professionals (National Skills Council, 2022) with the skills leaned on the programme hugely beneficial in preparing students to successfully enter the jobs market.

Entry Requirements

• Students are expected to have a minimum of a 2.2 Honours Bachelor Degree (Level 8) in Business, IT, Science or Engineering.
• In line with institute policies, Non-EU nationals must provide evidence of ability to follow classes in English (IELTS 6.5 or equivalent).
• Applicants may be required to attend TUS for an interview. Zoom interviews may be arranged for international students.

Course Modules

Semester 1

• Business Analytics & Modelling (5 credits)
  • This module will develop learners understanding of how analytics can impact decision-making and provide learners with analytical skills to understand, predict and optimise business operation and performance.
• Business Strategy (5 credits)
  • This module introduces students to strategic management and strategic issues from a business analyst point of view.
• Relational Databases (5 credits)
  • This module provides the student with the skills in areas such as entity modelling, normalisation and database design.
• Statistics And Tools For Business Analytics (10 credits)
  • This module will introduce students to the role of Excel macros and VBA programming to derive insight and automate processes involving large datasets.

Semester 2

• Applied Business Analytics (5 credits)
  • This module teaches learners the importance of data manipulation and pre-processing, exploration, analysis, and modelling.
• Data Interpretation and Business Analytics (5 credits)
  • Students will learn how to use data to drive their marketing activity and measure the effectiveness of their website.
• Data Visualisation (10 credits)
  • This module develops student skills in data visualisation by introducing various data visualisation techniques.
• Research Methods (5 credits)
  • This module aims to introduce students to the key concepts involved in research and to develop their understanding of the uses and relevance of the major methodologies employed.
• The Science of Decision Making (5 credits)
  • This module introduces the student to the science of decision making and is designed to help students become more effective decision makers.

Semester 3

• Applied Research Project (30 credits)
  • The project builds on the Research Methods module, where the research proposal will have been developed and submitted.

Career Opportunities

• Financial Market Analyst
• Business Intelligence Analyst
• Customer Insight Analyst
• Data Analyst
• Data Scientist

Further Study

Upon successful completion of this programme, graduates have the opportunity to complete Level 9/10 programmes here at TUS or elsewhere.