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.
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.
|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.
|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
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.
|Intake Info||Application Period||Course Duration|
19 April 2021
02 November 2020 - 11 January 2021
8.30 am to 6.00 pm (Mon to Thu)
8.30 am to 5.30 pm (Fri)
Closed on Sat, Sun & Public Holidays
- Website: https://www.tp.edu.sg/tsa
Temasek SkillsFuture Academy
East Wing Block 1A,
Level 3, Unit 81
21 Tampines Ave 1
Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.