NUS-ISS Effective Decision Making with Data for Financial Services (EDMD-FS)

Overview

Part of	-
Duration	2 days
Course Time	9am - 1pm
Enquiry	Please contact ask-iss@nus.edu.sg for more details.

*IBF funding is available for Singaporean Citizens and Permanent Residents.

Since 2013, NUS ISS has been delivering a suite of data analytics courses and a Master of Technology programme to develop analytics talent capacity in the Singapore workforce.

Data has become the core pillar of decision making in the business world. Leveraging data provides insights helps answer business questions. Business owners and leaders can turn these insights into actionable decisions and improve business outcomes.

Being data-driven is about building the tools, abilities, and most crucially, a culture that acts on data. Multiple stakeholders like data scientists, data engineers, business leaders and managers have to come together at the beginning and the end of analytics projects.

To use data for making effective decisions in Financial Services, the typical questions to be answered are:

• What is data science about?
• What kind of problems can be solved using analytics?
• How do I implement the analytics? What are the risks and benefits to my organization?
• What competencies are needed for a successful project in a data driven organisation
• What are the kind of roles I need to recruit for?
• What are the typical data science applications in the Financial Services Industry?

This course is part of the Data Sciences practice offered by NUS-ISS.

Key Takeaways

This course is aimed to help business professionals understand the applications of data science and to be able to formulate analytics problems, especially in the Financial Services Industry. Upon completion of the course, participants will be able to

Understand the application of analytics principles across different domains, especially Financial Services
Formulate the business problems that can be solved using analytics
Understand the processes involved in an end to end project
Understand competencies required of a data driven project
Understand the benefits and risks of analytics projects
Understand the processes involved in implementing analytics projects
Architect a decision engineering process for solving the identified problems
Evaluate a project given the organization analytics maturity
Identify the roles required to be executed in an Analytics project

Who Should Attend

This course is intended for working professionals in the Financial Services domain interested in using data and analytics to address business issues. This will help in framing the problems and ensure successful implementations.

Fees & Subsidies

IBF Subsidies

For training programmes commencing 1 Jan 2024*

	Full Fee	For Singaporean Citizens below 40 years old AND all Permanent Residents (50% Funding Support)	For Singaporean Citizens aged 40 years old and above (70% Funding Support)
Full Course Fee	$900	$900	$900
9% GST	$81	$81	$81
Total Fees, inclusive of GST	$981	$981	$981
Enhanced course fee subsidy, subject to prevailing $3,000 grant cap	-	($450)	($630)
Total Nett Course Fee Payable, after IBF subsidy	$981	$531	$351

*All fees and subsidies are valid for 2024 only.

Note:
IBF-STS Funding
IBF-STS Funding is available to eligible institutions and qualified individuals, subject to meeting the attendance requirement and passing of assessment. The IBF-STS funding is subject to a cap of S$3,000 per participant per programme.

Eligibility
^Singapore Citizens or Singapore Permanent Residents, physically based in Singapore
^^Company sponsored must be in Singapore-based financial institutions regulated by MAS (licensed or exempted from licensing), FinTech firms certified by Singapore FinTech Association.
Successfully completed IBF-STS recognised programme (including passing all relevant assessments and examinations).

For more information on funding terms and conditions, please visit: https://www.ibf.org.sg/home/for-individuals/skills-and-jobs-development/training-support/IBF-STS.

Certificate & Assessment

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

Assessment

Knowledge and competences gained by participants of the Data Driven Decision Making for Financial Services course will be assessed through the following means:

Type of Assessed Activity	Supporting Materials	Assessed Outputs	Assessment Method
Workshop	Workshop guide	Workshop submissions	Submissions are assessed for understanding of key concepts

Type of Assessed Activity

Supporting Materials

Assessed Outputs

Assessment Method

Workshop

Workshop guide

Workshop submissions

Submissions are assessed for understanding of key concepts

Assessors will be domain experts from the ISS Data Science Practice.

In order to be deemed ‘Competent’ for each learning objective (skills & knowledge), participants must have achieved a mark of ‘Competent’ in all of the corresponding assessed activities.

EDMD-FS 02	Framing the Problem
EDMD-FS 04	Workshop - Business Understanding
EDMD-FS 07	Workshop - Decision Engineering

The Competent grade corresponds to a 50% grade in the assessed submissions.

Upon passing the assessment, Statement of Attainment (SOAs) will be issued to certify that the participant has passed the following Competency Unit :

TSC Category	Data Analytics and Information Technology Management
Skills Competencies	Data Collection and Analysis
Accreditation Scope	Training & Assessment
Proficiency Level	4	Analyse and interpret findings for business insights and make recommendations to value add to decision making

Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency units. ISS reserves the right not to disclose any information on the course assessment process.

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.

Course Resources

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