Develop the knowledge and skills to confidently build and manage your personal investment portfolio
6 weeks,
excluding orientation
4–6 hours per week,
self-paced learning online
Weekly modules,
flexible learning
1
Knowledge of the financial principles and best practices needed to create a robust investment portfolio.
2
The ability to make more informed investment choices by understanding investment methodologies, risk appetite, data sources and analysis and portfolio management.
3
An understanding of how to reduce risk and increase returns, in both your personal and professional capacity.
4
The skills to automate data extraction and analysis, as well as backtest your investment strategies, learnt via an optional activity.
Over the duration of this online short course, you’ll work through the following modules:
Module 1 Introduction to investing in financial markets
Learn the basic features of financial markets and investment approaches to analyse investment opportunities.
Module 2 Investment approaches
Explore the ideal relationship between your risk appetite and investment decisions.
Module 3 Portfolio management
Learn how to design your own investment portfolio.
Module 4 Data and technology in investing
Discover how to automate your investment decision-making process.
Module 5 Rule-based investing
Learn how to backtest your investment strategy and make it more robust.
Module 6 Investor psychology
Explore the human element of investing and the impact of bias on decision-making.
Please note that module titles and their contents are subject to change during course development.
Mr Shashank Shekhar Tripathi
Educator, Department of Information Systems and Analytics (DISA), School of Computing, National University of Singapore
Mr Shashank Shekhar Tripathi holds the designations of Chartered Market Technician (CMT) and Certified Financial Technician (CFTe). His teaching modules include Systematic Trading and Application Development at both the executive and undergraduate levels. Before joining academia, Shashank worked as a senior software engineer at the NUS FinTech Lab, where he managed algorithmic trading projects and developed financial technology applications. He also has vast experience in the oil and gas industry in corporate finance, financial evaluations, and simulations. He is interested in financial markets, blockchain technology and data analytics. Shashank researches extensively to design, develop and test strategies for algorithmic trading utilising machine learning, fundamental analysis and technical analysis. He is an experienced educator and consultant in data visualisation, robotic process automation and systematic trading.
This NUS online short course is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities and institutions, entirely online and in your own time.
Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step.
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.