Specialist Diploma in Financial Analytics

SPECIALIST DIPLOMA IN FINANCIAL ANALYTICS (PCK)

Duration 1 year (Part-time)

Frequency 7pm to 10pm, 2 times a week (blended learning)

Certificate Part-time Diploma & Post-Diploma

Course Overview

In the fast changing financial world, insights gained from financial data are highly valuable. This course equips you with knowledge and skills in statistics, business intelligence and visualisation tools to analyse and gain insights and revelations about financial data sets. You will learn to apply industry standard tools like Power BI and Tableau to real-world challenges. You will also be able to apply business intelligence techniques to produce reports on business performance and financial analytics reports.

Upon completing the course, graduates will be able to undertake the following responsibilities:

apply business intelligence techniques to produce reports on business performance;
select and use appropriate business intelligence applications to support business objectives;
apply financial services knowledge to new Fintech business models;
develop a financial analytics project using business intelligence techniques.

Entry Requirements

The minimum entry requirement is at least a Polytechnic Diploma or ITE Technical Diploma/Technical Engineer Diploma/Work-Learn Technical Diploma in a business, technology or IT-related course, or equivalent.

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

Who Should Attend

The target participants are those with a Polytechnic diploma (or equivalent) in a business or IT-related course. Participants may be in the financial services industry and wish to upskill by extending their competencies in the area of financial analytics.

What You'll Learn

To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.

	Subject Code	Subject
	CBA1C07	Business Intelligence Fundamentals This subject introduces students to a basic understanding of statistics and the application of business data analysis tools and techniques to visualise, analyse and interpret the results from these data. Students will learn essential descriptive data measures and data visualisation for describing data using tools such as Microsoft Excel and Power BI.
	CBA1C08	Business Intelligence Project This subject introduces students to the concepts and techniques of turning raw data from various sources into information to help organisations better manage their performance. Students will learn to integrate data, use relevant techniques to analyse data, and apply principles of data visualisation to increase the business intelligence quotient of an organisation. Students will learn how to present the analysis using data visualisation tools such as Power BI and Tableau.

	Subject Code	Subject
	CFT1C01	Fintech & Financial Services This subject introduces students to core financial services, banking and new Fintech business models. Students will also learn and compare the current financial processes to new Fintech business models and evaluate their strategic, operational and regulatory requirements based on Singapore’s regulatory policies. We will also explore the key success factors for Fintech solutions, using the Design Thinking approach.
	CFT1C05	Data Analytics in Financial Services This subject introduces students to data analytics techniques and provides them with hands-on experience in using appropriate data analytics tools and software to turn financial service data into actionable insights. The subject will allow students to understand how domain knowledge such as banking and financial services can interact with the different areas of analytics applications.

Modes of Assessment

Class participation
Class tests
Assignments
Projects

Career Opportunities

Graduates of the Specialist Diploma in Financial Analytics will be able to take on job roles such as Financial Analyst, Business Intelligence Developer and Market Research Analyst. They can also look forward to upgrading their knowledge and skills through further CET and executive programmes offered by local Institutes of Higher Learning.

Course Schedule/Apply

Intake Info	Application Period	Course Duration
17 April 2023	9 November 2022 – 11 January 2023	1 year	APPLY

Course Fees

Course Fee Per Post-Diploma Certificate

Fees Type	Course Fees per PDC (w GST)
Singapore Citizens
Aged 40 and above (Individual or SME-sponsored)	S$295.32
Aged below 40	S$449.40
SME-sponsored aged below 40	S$305.40
Others & Repeat Students	S$2,966.04
Non-Singapore Citizens
Singapore Permanent Residents	S$1,218.24
SME-sponsored (Singapore Permanent Residents)	S$321.60
Others & Repeat Students	S$3,045.60

SkillsFuture Credit Approved. For more details, please click here.

Course fees payable is based on per Post-Diploma Certificate.

Course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

MOE subsidy will not be applicable for students who repeat a module or semester.

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by the Work Support Scheme (WSS); for more information, please visit:

https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

Course Contact

tsa_acadcet@tp.edu.sg
67881212
Monday - Thursday: 8:30am - 6:00pm
Friday: 8:30am - 5:30pm

Closed during lunchtime, 12:00pm - 1:00pm
and on weekends and public holidays.
https://www.tp.edu.sg/tsa
Temasek SkillsFuture Academy
Temasek Polytechnic
East Wing Block 1A,
Level 3, Unit 81
21 Tampines Ave 1
Singapore 529757

Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

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