Dec 2018
to Bhutan Development Bank
Source: MAS Annual Report 2017/2018
Source: MAS Annual Report 2017/2018
Source: MAS Annual Report 2017/2018
Source: MAS Annual Report 2017/2018
Source: MAS Annual Report 2017/2018
Source: MAS Annual Report 2017/2018
Source: Ong Ye Kung Speech, Ravi Menon Speech
This course is designed and taught by our dedicated team of experienced lecturers, many of whom have postgraduate degrees and industry certifications and were senior banking professionals. Depending on your interest and career aspirations, you can opt for specialisations in Wealth Management, Fund Administration or Financial Technology (FinTech).
Furthermore, with FinTech radically changing how we live and do business, you will be in a good position to take advantage of opportunities in the industry through workshops, innovation lab visits and cross-disciplinary projects and competitions. You will also get a head start in your future career with internships at prestigious financial institutions, including the Monetary Authority of Singapore, GIC, Citibank, DBS, HSBC, Investment Management Association of Singapore, OCBC, State Street, UOB and many more.
Singapore plays a key role as Asia’s premier fund management hub and wealth management centre. Future-proof your career in this resilient sector by deepening your skills through our Specialist Diploma in Fund Management & Administration, the only programme of its kind offered in Singapore. The programme allows participants the opportunity to upgrade themselves with the necessary skills and competencies in the emerging areas of asset and wealth management under the SkillsFuture Initiative.
The Specialist Diploma in Fund Management & Administration aims to:
Provide participants the opportunity to upgrade themselves with the necessary knowledge and competencies in the fund industry.
Enhance the competitiveness of participants in the fund industry by covering both front office and middle/back office operations.
Financial Markets & Instruments
Financial Instruments
Alternative Investments
Investment Analysis & Portfolio Management
Fund Fundamentals
Fund Administration
Global Securities Operations
Risk Management & Compliance Monitoring
Strong regional growth, a supportive regulatory infrastructure, and conducive financial eco-system are factors which have catalysed the development of the asset management industry in Singapore. Asset managers based in Singapore have a strong pan-Asian coverage and offer a broad and diversified range of investment capabilities, spanning traditional and alternative strategies. This has attracted investors who are keen to participate in the region’s growth.
Today, asset management is one of the key segments of our financial sector, directly contributing to the overall economy and even helping to spur activities in other sectors such as foreign exchange and debt markets. As such, fund administration and other related services are expected to be in great demand.
The programme is broad-based in nature and exposes the participants to the entire value chain in the fund industry, from front end to back office operations.
Module 1: Equities
Module 2: Debt Securities
Module 3: Alternative Asset Classes
Module 4: Derivatives
Module 5: Fund Accounting
Module 6: Fund Administration
Module 7: Regulatory Framework
Module 8: Custody
Module 9: Principles of Fund Management
This course aims to provide participants with a practical understanding of how to securely implement contactless payments in Singapore. Through role-playing and live simulations of popular mobile payment modes, participants will be exposed to different payment systems, like PayNow and eNETS, as well as apps which utilise them in real work settings.
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=10170
This course aims to provide participants with an introduction to machine learning and data science. Examples of how they are applied to the world of finance will also be shared and discussed. Applicants should have some knowledge in Python programming.
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=10927
This module aims to provide participants with basic investment knowledge about various financial products and principles of responsible investing. In addition, they will learn about planning for their retirement needs.
Course Outline
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=CB0408
Participants will be introduced to the Python programming language for the purpose of performing financial analytics. Important topics covered include data types and structures, data munging, transformation, visualisation, time-series modelling, input / output operations, statistical application with python and working with EXCEL.
Learners will also be exposed to the crucial Python scientific stack that are used by data scientists and will be provided with opportunities to solve financial data analytics problems.
The course will cover the key pillars of analytics – descriptive analytics, predictive analytics and prescriptive analytics.
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=10926
This short course will provide the participants with an overview of classical machine learning (also called shallow learning) in the field of finance. At the end of the course, participants will gain a deeper understanding of the types of problems that can be solved using machine learning.
The various categories of machine learning being supervised, unsupervised and reinforcement learning will be explored. Cases in finance will be discussed and exampled used in the industry will be provided.
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=10924
This short course is an introduction to the foundations of deep learning for more advanced modules, such as computer vision. By the end of this course, participants will have a firm understanding of the concepts of neural network such as neural network architectures, feed-forward networks, backpropagation, keras and dropout.
Examples of simple Artificial Neural Networks will be applied to topics covered in classical machine learning to compare and contrast the performance of the two different approaches.
https://eservices.nyp.edu.sg/alls/course/cseDetails.jsp?id=10925