Code
SE43P
Location
Waterford
Campus
Cork Road
- Level Level 9
- Duration 12 mths
- Credits 90
- Delivery Blended
- Applications Closing 31 Aug 2024
- Fees View Details
- Application Status Open
- Next Intake September 2024
The MBS in Finance and Business Analytics will enable participants to:
- Develop quantitative, analytical and ICT skills to carry out data and financial analysis tasks.
- Communicate and interpret the output of their analysis.
- Exhibit curiosity, in a critical manner, in evaluating analysis undertaken by themselves or others.
- Develop their careers within their current employment or as an initial stepping stone to a career as a financial analyst/data analyst.
The MBS in Finance and Business Analytics enables participants to develop quantitative, analytical and ICT skills to carry out data and financial analysis tasks in their current employment or as an initial stepping off point for a career as financial analyst/data analyst.
It has been developed in response to demand from companies for specialist graduates with advanced skills and knowledge in areas such as statistics, data modelling, business intelligence and financial analysis.
This course will also enable existing employees to acquire key skills and competencies to help them advance their career and make a greater contribution in their workplace. It will serve as a platform for knowledge expansion and the acquisition of new skills and competencies thereby developing a new mind set amongst employees in preparation for the demands of the ever-changing business environment.
The Master of Business in Finance and Business Analytics is fully accredited by the Institute of Analytics (IoA) which is the Professional Body for Analytics and Data Science professionals in the UK and Internationally.
| Semester 1 | Semester 2 | Semester 3 |
|---|---|---|
| Data Modelling and Analytics | Business Intelligence Fundamentals | Dissertation |
| Statistics for Data Analytics | Trading the Financial Markets | or |
| Programming for Data Science | Financial Regulation and Compliance Management | Applied Business Project |
| Contemporary Issues in Business | Corporate Financial Analysis | or |
| IS Project Management and Analytics | Distributed Ledger Technologies and Block Chain | Research Paper Series 4: Applied Financial Data Analysis Paper |
| Research Paper Series 2: International Business and Politics Paper | ||
| Research Paper Series 3: Governance and Ethics Paper | ||
| or | ||
| Professional Internship |
Note: In semester 3 students will complete a dissertation or applied business project or professional internship or the 3 research papers.
Year 1
| Module Name | Semester |
|---|---|
M is a mandatory subject - E is an elective subject
Year 2
| Module Name | Semester |
|---|---|
M is a mandatory subject - E is an elective subject
Year 3
| Module Name | Semester |
|---|---|
M is a mandatory subject - E is an elective subject
Year 4
| Module Name | Semester |
|---|---|
M is a mandatory subject - E is an elective subject
The current minimum entry requirements for students to be accepted on the MBS in Finance and Business Analytics are as follows:
- Applicants must hold at least a 2nd Class Honours Grade 2, Level 8 qualification in business/finance/economics/IT
- Students holding a non-business/IT honours degree of the type listed above are eligible to apply. Applicants may be asked to attend an advising interview. These applicants will need to provide evidence that they possess strong numeracy and IT skills.
- Students without a Level 8 qualification may qualify under RPL as per SETU Waterford academic guidelines.
- International students must meet the SETU Waterford requirements for postgraduates in IELTS or equivalent. This programme resides in the School of Business (this is important when determining the appropriate English language competency criteria to apply).
The courses provides students with the opportunity to professionally develop. On completion of the course students will exhibit quantitative, analytical and ICT skills to carry out data and financial analysis tasks in their current employment or perhaps provide students with the stepping stone for a career in financial/data analysis.
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