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Login Success Big Data and FinTech Programme Series
AI, Big Data, Data Analytics and FinTech are hot topics in business and finance. They add value to the organization by facilitating new product development, developing better market prediction and performing accurate business forecast and improving operational efficiency. Executives with contemporary knowledge in FinTech and practical skills in data analytics can leverage their edge in career move.
Don’t waste the chance, join the Big Data and FinTech programmes to explore your potential.
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The programme aims to provide students with contemporary knowledge of financial technology (FinTech) and related applications in finance. The programme not only equips students with essential skills to apply Java programming but also illustrates the practical implementation of FinTech applications.
PT
Start 17 JAN 2026 (SAT)
Duration 30 hours
Fee Course Fee: $9900 per programme (*course fees are subject to change without prior notice)
The programme is designed to impart contemporary knowledge in financial technology (FinTech) and artificial intelligence (AI) to students. It will equip them with critical skills to effectively utilise computational tools and online software for writing computer programmes, designing and implementing applications. Additionally, the programme demonstrates the practical applications of FinTech and AI, while addressing pertinent issues in the commercial world.
PT
Start 20 DEC 2025 (SAT)
Duration 30 hours
Fee Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
The programme aims to provide students with essential knowledge of financial analysis and valuation. It equips students with practical skills to perform financial analysis and data visualisation using Excel and Python. The programme also illustrates simulation and model building, as well as evaluation of corporate performance.
PT
Start 09 FEB 2026 (MON)
Duration 30 hours
Fee Course Fee: $10,200 per programme (* course fees are subject to change without prior notice)
The programme aims to provide students with essential knowledge of econometrics and data analytics. It equips students with practical skills to perform statistical analysis, regression analysis, and data analytics using computational tools. The programme also illustrates the techniques of data visualisation, model building and forecasting.
PT
Start 19 JAN 2026 (MON)
Duration 30 hours
Fee Course Fee: $10,200 per programme (* course fees are subject to change without prior notice)
The programme aims to provide students with essential knowledge of robotic process automation (RPA) in streamlining workflow and improving business operations. It covers the design, development and implementation of RPA with illustrations using computational tools. Practical applications and cases of RPA for business and finance will be discussed.
PT
Start 28 FEB 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9900 per programme (*course fees are subject to change without prior notice)
This programme aims to provide students with knowledge in Big Data and Artificial Intelligence technologies and their applications in investment management. Students are expected to be familiar with different big data analyses and A.I. processes upon completion of the programme.
The programme provides an insight on how the current development in these two areas assist and influence investment decision and behaviour.
The programme provides an insight on how the current development in these two areas assist and influence investment decision and behaviour.
PT
Start 07 NOV 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9100 per programme (* course fees are subject to change without prior notice)
This programme aims to provide students with knowledge in Big Data and Business Analytics for management decision-making. Students are expected to be familiar with different big data analyses, tools and methodologies. The programme provides an insight on how business world is using Big Data to improve their business models.
PT
Start 10 JAN 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9500 per programme (* course fees are subject to change without prior notice)
This programme aims to provide students with an in-depth knowledge in Big Data concepts and to develop their skill sets in setting up hypothesis models in Predictive Analytics. The objective is to provide an overview of data mining process and to pinpoint the potential and limitations of predictive analytics within a business setting.
PT
Start 03 FEB 2026 (TUE)
Duration 1 month to 2 months
Fee Course Fee: $9200 per programme (* course fees are subject to change without prior notice)
This programme aims to provide students with the fundamental concepts and knowledge about Big Data and to develop their analytical skills by applying regression analysis and machine learning to solve business problems. It provides a practical approach for the students to apply regression and machine learning methodologies for analyzing big data and facilitating business and financial decision making.
PT
Start 12 JAN 2026 (MON)
Duration 1 month to 2 months
Fee Course Fee: $9200 per programme (* course fees are subject to change without prior notice)
This programme aims to provide students with the basic concepts and knowledge about Big Data and to develop their skills in interpreting Big Data. It provides a practical approach for the students to apply statistical methods to analyze data and to equip them with techniques to perform data visualization for business and financial Big Data.
PT
Start 06 JUN 2026 (SAT)
Duration 1 month to 2 months
Fee Course Fee: $9500 per programme
(*course fees are subject to change without prior notice)
(*course fees are subject to change without prior notice)
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