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Brief Description
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.
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.
Who Should Consider the MSc in Business Analytics;
- Business graduates looking to further develop business and quantitative skills.
- Graduates with a significant business component in their degrees looking to further develop business and quantitative skills
Why Should you Consider the MSc in Business Analytics?
- Programme Learning Outcomes;
- Graduates will have a strategic understanding of business analytics and appreciate the connections between this discipline and other areas of business to make holistic decision when analysing business problems and situations.
- Graduates will develop critical thinking skills, understand the connection between quantitative and qualitative tools, theories and context so that they can solve business problems and make effective decisions.
- Graduates will understand how to develop new and innovative business opportunities and solutions in a dynamic international business environment.
- Graduates will develop the leadership, influence and change skills necessary to be effective business managers and leaders; demonstrating self-awareness, emotional intelligence, curiosity, visionary and strategic thinking, teamwork, reflection and knowledge transfer skills
- Graduates will demonstrate ethical reasoning skills, understand social, civic,and professional responsibilities and aspire to add value to society.
Double Degree Opportunity
This programme offers a dual degree opportunity at the following French partners: Audencia Business School (Nantes), Excelia Business School (La Rochelle), Neoma Business School (Reims or Rouen), Rennes Business School, and Toulouse Business School. The dual degree opportunity involves studying for a second year at the dual degree partner, at the end of which students will receive their MSc. from the University of Limerick as well as a Masters from the dual degree partner.
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.
- Development of Quantitative Skills
- Application of Quantitative Skills to Business Contexts
| Semester 1 | Semester 2 | Semester 3 (Summer) |
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Option to Exit with a |
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Content of modules can be found by using the search option on the book of modules.
Entry Requirements
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.
WHAT TO INCLUDE WITH YOUR APPLICATION:
- Qualification transcripts and certificates
- A copy of your birth certificate or passport
- A copy of your most recent CV
- If your qualifications have been obtained in a country where English is an official language this will suffice
- If this is not available, the following additional documents must be provided:
- English translation of your qualification(s)/transcripts AND
- English language competency certificate
- Please click here for Further Information on English Language Requirements
Guidelines on Completing your Application
To ensure a speedy assessment of your application, please upload the above documents with your application form.
Please title appropriately any documents you are uploading with the application form, for example "Supporting Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
EU - €12,000
Non- EU - €20,000
Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie.)
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.