Overview
The MSc in Business Analytics (BA) is a full-time programme running for 12 months from the date of first registration for the programme.
Exit Award
Postgraduate Diploma in Business Analytics
In the event of a candidate failing to pass Part II, and failing to achieve a pass standard following permitted minor corrections as outlined in "Pass Standard" above, the candidate will be offered an award of a Postgraduate Diploma in Business Analytics (NFQ Level 9, Major Award), worth a total of 60 credits.
Programme Requirements
For information about modules, module choice, options and credit weightings, please go to Programme Requirements.
Programme Requirements
Module List
| Code |
Title |
Credits |
| |
| |
| EC6011 | Business Forecasting | 5 |
| IS6017 | Enterprise Business Processes and Applications | 5 |
| IS6025 | Design Thinking for Business Analytics | 5 |
| IS6051 | Business Data Analysis and Visualisation | 5 |
| IS6052 | Predictive Analytics | 5 |
| IS6055 | Prescriptive Analytics | 5 |
| IS6058 | Emerging Topics in Business Analytics | 5 |
| IS6061 | Python for Business Analytics | 5 |
| IS6071 | Business Analytics for Sustainability | 5 |
| IS6072 | Data Analytics for Business Enterprise | 5 |
| IS6073 | The Practical Application of Business Analytics | 10 |
| |
| IS6611 | Applied Research in Business Analytics | 30 |
| Total Credits | 90 |
Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards Book and for each module in the Book of Modules.
Programme Learning Outcomes
Programme Learning Outcomes for MSc (Business Analytics) (NFQ Level 9, Major Award)
On successful completion of this programme, students should be able to:
1
1-1
Communicate and work effectively to an ethical and high professional standard;
1-2
2
Demonstrate advanced analytical and problem-solving skills associated with responsible leadership and sustainability;
1-3
3
Engage in advanced application of frameworks and techniques in organisational settings (both national and international);
1-4
4
Understand the organisational context of data and information for business analytics;
1-5
5
Conduct business analytics research for business/policy sponsors and academic audiences;
1-6
6
Self-direct career development.
