Postgraduate Diploma in Finance and Business Analytics (Postgraduate Diploma in Finance and Business Analytics)

Waterford Institute of Technology (FBA)
Key Programme Details
Award

Major

NFQ Level

Level 9 About NFQ

Delivery Method

Classroom, Blended

Mode

Full Time

ECTS Credits

60

Department

Department of Graduate Business

General Information
Contact

Lorraine Quirke

Email

lquirke@wit.ie

Phone

051834137

Address

Springboard Office
School of Education and Lifelong Learning
Waterford Institute of Technology
Cork Road
Waterford

Role

Springboard Administrator

Important Dates
Application Deadline

08/01/2021

Start Date

11/01/2021

End Date

10/12/2021

About this Course

The Graduate Diploma in Finance and Business Analytics will be taught over one academic year and its aim is to enable participants:
to develop quantitative, analytical and ICT skills to carry out data and financial analysis tasks. to communicate and interpret the output of their analysis.
to exhibit curiosity, in a critical manner, in evaluating analysis undertaken by themselves or others. to develop their careers within their current employment or as an initial stepping off point for a career as financial analyst/data analyst.
Candidates will learn not only the theory underpinning core phenomena in business analytics but will also work with livedata. This will take place in a newly developed Finance Lab which has been specified and developed with this programme in mind.
Core delivery will take place over two semesters. Initially, this will be in traditional mode: full time during day hours, on campus although, depending on demand, more flexible formats of delivery can also be deployed. The programme will be delivered using a mix of lectures and practicals (IT lab based). Practice-based training will be central to this with candidates receiving specialised training in PL-SQL, Real Stats, Eikon, Stocktrak and Qlikviews.
The selection of the modules that comprise the programme has been guided by the desire to provide candidates with insights into some of the core elements of finance and business analytics.
Data Analysis IS Aspects (associated modules: Data Modelling & Analytics, Programming for Data Science and IS Programme Management)
Data Analysis “ Finance Aspects (associated modules are Statistics for Data Analytics, Trading the Financial Markets and Financial Regulation & Compliance Management)
Data Analysis - Interpretation and Communication (associated modules: Business Intelligence, and Corporate Financial Analysis) Future Proof (associated modules: DLT & Blockchain, Business and Professional Internship).

Entry Requirements

The current minimum entry requirements for students to be accepted on the Graduate Diploma in Finance and Business Analytics are as follows:

a) Applicants must hold at least a Level 8 qualification in business/finance/economics/IT.

b) Students holding a non-business/IT honours degree of the type listed above are eligible to apply. However, this does not guarantee entry to the programme, applicants may be considered for interview/advising and short listing. Candidates that can display strong numeracy skills will be considered more favourably.

c) Students without a Level 8 qualification may qualify under RPL as per WIT academic guidelines on RPL.

d) International students must meet the WIT 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).

Long Description

The Graduate Diploma in Finance and Business Analytics will be taught over one academic year and its aim is to enable participants:
to develop quantitative, analytical and ICT skills to carry out data and financial analysis tasks.
to communicate and interpret the output of their analysis.
to exhibit curiosity, in a critical manner, in evaluating analysis undertaken by themselves or others.
to develop their careers within their current employment or as an initial stepping off point for a career as financial analyst/data analyst.
Candidates will learn not only the theory underpinning core phenomena in business analytics but will also work with live data. This will take place in a newly developed Finance Lab which has been specified and developed with this programme in mind.
Core delivery will take place over two semesters. Initially, this will be in traditional mode: full time during day hours, on campus although, depending on demand, more flexible formats of delivery can also be deployed. The programme will be delivered using a mix of lectures and practicals (IT lab based). Practice-based training will be central to this with candidates receiving specialised training in PL-SQL, Real Stats, Eikon, Stocktrak and Qlikviews.
The selection of the modules that comprise the programme has been guided by the desire to provide candidates with insights into some of the core elements of finance and business analytics.
Data Analysis IS Aspects (associated modules: Data Modelling & Analytics, Programming for Data Science and IS Programme Management)
Data Analysis Finance Aspects (associated modules are Statistics for Data Analytics, Trading the Financial Markets and Financial Regulation & Compliance Management)
Data Analysis - Interpretation and Communication (associated modules: Business Intelligence, and Corporate Financial Analysis)
Future Proof (associated modules: DLT & Blockchain, Business and Professional Internship).


Semester 1
Date Modelling and Analytics (10 credits)
Statistics for Data Analytics (5 credits)
Programming for Data Science (5 credits)
Contemporary Issues in Business (5 credits)
IS Project Management and Analytics (5 credits)

Semester 2
Business Intelligence Visualisation Techniques (5 credits)
Trading the Financial Markets (5 credits)
Financial Regulation and Compliance Management (5 credits)
Corporate Financial Analysis (5 credits)
Distributed Ledger Technologies and Blockchain (5 credits)

Semester 3
Work Placement (5 credits)
OR
Data Analysis Paper (5 credits)


Timetable Info

12, TBC The programme will be full-time delivered during the day on the Main WIT campus .

Delivery Location

Main Campus WIT

Delivery Notes

Blended

Admissions Contact Details
Contact Person

Springboard Team

Email

springboard@wit.ie

RPL Information

https://www.wit.ie/images/uploads/Education_School_PDF/WIT_RP6_Springboard_RPL_Form.docx