Program Overview

Are you looking to develop your quantitative analysis and consultancy skills? Completing the MSc in Business Analytics at the Kemmy Business School will position you to engage with business problems using large data sets, statistical methods, optimisation techniques and predictive models. Our innovation lab and simulation modules allow you to approach business problems in an applied, innovative and creative environment to reflect the skills and competencies required in real-word situations. The ability to communicate findings and implement strategies are developed in leadership and project management modules.

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  Location

LimerickIreland

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  Course Duration

12 Months

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  Tuition Fee

 18,300

 Score

IELTS: 6.5 TOEFL: 90

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The MSc in Business Analytics is designed using a sequential tripartite structure. The first semester is aimed at developing quantitative skills. The second semester is aimed at understanding how to apply these skills in specific business contexts. The summer semester is aimed at developing an integrated understanding of how these skills are applied in business contexts and situations.
 

  1. Development of Quantitative Skills
  2. Application of Quantitative Skills to Business Contexts


Semester 1
 

  • MI6201 Data and Analytical Decision Making
  • MA6101 Statistics for Data Analytics
  • CS6401 Database Systems in Practice
  • CS6501 Machine Learning & Applications
  • MN6041 Project Management in Practice


Semester 2
 

  • IN6062 Data Governance & Ethics
  • EC6062 Applied Econometrics for Business
  • MK6102 Digital Organisations, Markets & Consumers
  • CS6502 Applied Big Data & Visualisation
  • PM6072 Leadership, Influence & Change


Option to Exit with a 
Graduate Diploma in Business Analytics

Semester 3 (Summer) 

 

  • MI6103 Digital Futures Lab
  • MI6303 Business Simulation

The minimum entry requirement will be a primary  degree (Level 8 - National Qualifications Authority of Ireland) in a relevant area (business, finance, economics and mathematics) with an award of Second Class Honours Grade 2. Applicants with relevant professional qualifications and experience and/or with an appropriate honours degree in a cognate discipline may also be considered for admission. An interview may also form part of the selection process. Applicants who cannot satisfy the minimum 2.2 honours primary degree requirement may be accepted on the basis of relevant professional experience. Applicants must also satisfy the Universities English Language Requirements.

Tuition Fees

These are based on ResidencyCitizenshipCourse requirements.

Review the three groups of criteria to determine your fee status as follows
 

  1. Residency
     
    • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
       
  2. Citizenship
     
    • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
       
  3. Course Requirements (all must be met)
     
    • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
    • You must be undertaking a full-time undergraduate course of at least 2 year’s duration
    • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)

Completing the MSc in Business Analytics at the Kemmy Business School will position you to engage with business problems using large data sets, statistical methods, optimisation techniques and predictive models. Our innovation lab and simulation modules allow you to approach business problems in an applied, innovative and creative environment to reflect the skills and competencies required in real-word situations. The ability to communicate findings and implement strategies are developed in leadership and project management modules.

Possible Careers: Business Analyst, Financial Analyst, Quantitative Analyst, Management Consultant, Project Manager, Supply Chain Manager, Research Analyst, Data Scientist, Data Analyst.

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