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Business Analytics MSc

Course Details

Available: Full- Time

Duration: 1 Year

Award: Postgraduate

Qualification: Level 9 Masters (MSc)

Faculty: Kemmy Business School

Course Type: Taught

Fees: For Information on Fees, see section below.

Contact(s):

Name:
Riah Hogan
Address:
Programme Co-ordinator, Taught Postgraduate Programmes
Email:
Riah.Hogan@ul.ie
Name:
Dr Fergal O'Brien
Address:
Accounting & Finance
Email:
Fergal.G.OBrien@ul.ie
Tel:
353-61- 202718

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.

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 Semester 2 Semester 3 (Summer) 
  • 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
  • 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

  • MI6103 Digital Futures Lab
  • MI6303 Business Simulation

 

 

 

 

 

 

 

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/passport
  • 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

    For more information Click Here

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.

Click Here

For information on funding and scholarships please click here.

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.