Associate Alumni benefits & privileges | Earn credits towards Master of Science in Financial Technology from NTU
Apply before 10 May 2024 and avail early bird tuition assistance of USD600. Use code APAC600ALL4307 while applying.
Upcoming Round Application Deadline: 10 May 2024 | Application Fee: USD 150
The Nanyang Technological University (NTU) in Singapore has launched the FlexiMasters in Financial Technology programme to help you navigate the fast-evolving FinTech landscape, lead with confidence, and secure a long-term position in the sector. Draw on best practices, tools, and expertise of NTU faculty and industry experts to capture value, meet business objectives, and unearth robust financial growth.
Take a bold step towards a high-power, high-growth global career in FinTech
Pre-Recorded Video Lectures* from NTU faculty with for self-paced learning interspersed with live lectures from renowned NTU faculty and industry practitioners
Case studies, real-world examples and assignments with faculty and industry experts
Earn credits towards Master of Science in Financial Technology
Associate Alumni Benefits and Privileges
Learn cutting-edge tools
Top faculty and industry experts
Note:
The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the program's desired outcomes.
Early career professionals who want to equip themselves with fintech skills and tools to launch and grow into a FinTech career.
Managers or Senior Managers who want to stay updated in their FinTech career or transition to FinTech domain/roles
Demonstrate a comprehensive understanding of the fintech industry, including its evolution, impact on traditional financial services, and the role of emerging trends and technologies.
Understand how digital financial services and decentralized finance (DeFi) contribute to extending financial access, fostering economic inclusion, and promoting global financial inclusivity.
Develop the ability to apply data analysis and machine learning techniques in real-world financial scenarios, enabling them to make data-driven decisions and draw meaningful insights from financial data.
Understand regulatory requirements and the importance of risk management in fintech, ensuring ethical and compliant practices in financial services.
Apply statistical modelling and machine learning techniques in finance, enabling them to assess risk, make informed investment decisions, and draw meaningful conclusions based on sound statistical principles.
Understand blockchain technology, its components, and its applications in the financial sector, including the roles of Bitcoin, Ethereum, and smart contracts.
Assistant Chair (MSc Programmes)
(Associate Professor, School of Physical & Mathematical Sciences - Division of Mathematical Sciences) Patrick Pun is currently a tenured Associate Professor and the ProgrammeD...
CEO and Founding Partner W.I.Consulting
Dr. Jin Song is currently the CEO and Founding Partner of W.I.Consulting , aleading investment consulting organization in Asia. W.I.Consulting provides high-quality, global in...
Associate Professor School of Physical & Mathematical Sciences
Dr. Xiang Liming joined the School of Physical and Mathematical Sciences,Nanyang Technological University, Singapore, as an assistant professor in 2007.She received her PhD in...
Associate Chair, Academic Associate Professor, School of Physical & Mathematical Sciences
(Division of Mathematical Sciences) Dr. W. K. NG works in machine learning, privacy-preserving techniques, query-permissible encrypted databases, enterprise blockchain systems...
Founder FemTech Partner, Legal and finance professional with 17 years of experience in Asia and Europe
Neha Mehta is the Founder of FemTech Partners. She holds a doubledegree in law and commerce from the University of Delhi and attended King’s College London on a Chevening Fell...
Professor Computational Intelligence Group School of Computer Science and Engineering Nanyang Technological University, Singapore
Jie Zhang is a Professor of the School of Computer Science and Engineering at NTU Singapore, leading the Computational Intelligence Group. He obtained a PhD in Cheriton School...
Earn 15 credits after successfully completing the programme which can be utilized for Master's degree*
Notes :
All certificate images are for illustrative purposes only and may be subject to change at the discretion of NTU
*Based on relevant guidelines and degree requirements
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.
Emeritus provides the following career preparation services:
Resume building videos
Interview preparation videos
Linkedln profile building videos
Glossary of resume templates
Note:
NTU or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NTU is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
Being part of this programme grants you eligibility for Associate Alumni benefits and networking opportunities. These benefits include, but are not limited to:
Access to job opportunities in the alumni job portal.
Opportunities to network
Access to an NTU Alumni card
Discounts and privileges
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period, the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Flexible payment options available.
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