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Summary

The MSc in Business Analytics provides students with the skills and knowledge to develop, implement, and manage business analytics within organisations. The programme is designed as a specialist course, which assists students in blending their existing talents with the technological skills and business knowledge needed to use and manage big data and business analytics in modern knowledge-based organisations. 

The programme is a taught masters programme and consists of lectures, workshops, guest lectures from industry experts, and hands-on technology tutorials. Modules are assessed via continuous assessment, written assignments, applied projects, and written examinations. 

Upon completion of the MSc Business Analytics programme, students will have acquired industry-standard skills and in-depth knowledge to: 

1) Understand and apply specific IT which is used in developing business analytics.

2) Analyse and solve business problems using applied data analytics tools and techniques.

3) Evaluate and apply techniques for managing IT in organisations.

4) Identify, analyse and solve applied problems in individual and team-based settings.

5) Apply effective decision making to global business problems.

Highlights

  • Combination of Technical & Business Subjects
  • Capstone Group Project
  • Top 1% Universities Worldwide
  • Ranked No.1 Value for Money (2020) QS Ranking
  • Ranked No. 2 in Ireland (2021) QS Rankings

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Majors

Business Analytics Group Project (MS5103)
This project is a capstone for your Masters degree and upon its completion, you will be expected to be able to, (1) Define and explore a problem within the domain of business analytics or related area (e.g. marketing, finance, operations management, supply chain management, human resources, electronic business, economics, government, justice, transportation, environment, sports science etc.), (2) Extract, cleanse and transform large data sets collected from various primary and/or secondary sources, (3) Demonstrate competence in a range of statistical analysis, coding and database skills, (4) Use appropriate written and visual presentation techniques to set out analytical findings, (5) Discuss the results of analytical findings and make recommendations, and (6) Communicate and collaborate effectively in a team.
Schedule Full-time
Duration 12 Months
Presence of students On-campus and on-line
Enrollment capacity per term 100
Average number of applications per term 600
Total number of enrolled students 400
Tuition and fees per year 18000.00 EUR
Scholarships available Yes

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