Module: Data Science for Finance

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Data Science for Finance
Module Code	EF5176
School	DCUBS
Module Teacher	No Teacher Assigned
NFQ level		Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

None

Description

Learning Outcomes

1. Understand the potential for modern data science approaches to improve the practice of finance
2. Develop Python language techniques that enable the effective analysis of financial data
3. Analyse financial phenomena through project-based approaches to financial data intelligence
4. Demonstrate an understanding of how to analyse, critically evaluate, and communicate, financial data science findings

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Total Workload: 0

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

None

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Group presentation	Group work: Students will demonstrate a clear business-oriented solution to a finance problem through the application of financial data science techniques.	30%	Week 9
Report(s)	Individual assessment: The student will demonstrate applied knowledge of the full module material through the exploration of a financial problem using Python.	70%	Sem 1 End

Reassessment Requirement Type
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Other Resources

None

Programme or List of Programmes

GDFTI

Grad Dip Financial Tech and Innovation

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