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9 Course
What you'll learn
  • The Financial Inclusion Business Case
  • Change Management in the Digital Disruption Age
  • Exploiting Agent Banking for New Markets
  • Mobile money
  • Opportunities and use cases.
  • Policies and regulation in Financial Inclusion
  5 lessons
What you'll learn
  • An Overview of Risks in the DFS Ecosystem
  • Overview of Risk Management Techniques
  • Practical Risk Framework Application in DFS
  • Overcoming Fraud
  • Ethics, Governance and Risk Culture
  • Consumer Protection
  • Technology from a Cybersecurity Point of View
  • Business Unusual Reporting and Planning
  8 lessons
What you'll learn
  • Critical Components of the DFS Ecosystem
  • Introduction to Behavioral Science and Human-Centered Design (HCD) I
  • Introduction to Behavioral Science and Human-Centered Design (HCD) II
  • HCD Considerations and Applications in Research and Product Design in DFS
  • Open Application Programming Interfaces (APIs) and Financial Services
  • Partnerships in DFS: Factors for Success
  • Product Pricing
  • Technology for Financial Services
  • Responsible Product Development: Risks Involved
  • Appropriate Marketing Communication for Low Income Segments
  • The DFS Product Timeline
  10 lessons
What you'll learn
  • This learning programme introduces participants to the Big Data Canvas, a methodology for ensuring that data strategies remain feasible while pursuing the most valuable outcomes.
  • Recognize the dynamics of big data, analytics, and data science in various financial applications.
  • Identify the Critical Success Factors for an organization’s Big Data strategy
  •  Shape your organization’s big data strategy by leveraging data science best practices.
  • Gain understanding of business analytics with the use of robust data and the ability to consider the relationships between this data science and finance to make holistic judgments when analyzing situations.
  • Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions. Select, Prepare, Construct, and Integrate, Structure, and Format data to be most effective to ensure the models meet the business goals.
  • Develop actionable plans from existing data and initiatives to increase sales, reduce marketing costs and improve customer retention.
  • Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
  • Manage data efficiently and allow users to perform multiple tasks with ease.
  23 lessons
What you'll learn
  • In-depth analysis of Cybercrime, Online fraud, Digital piracy and regulation
  • Understanding the vital concepts like Confidentiality, data Integrity and Availability, what is a threat versus vulnerabilities, and pertinent statistics on current data security trends.
  • Elucidate on different industry standard IT risk assessment process and methodologies
  • Best practices for securing company information systems
  • Media Control – Storage state ( encrypted/not encrypted ) confidential/sensitive data
  • Email Security - double checking addresses, avoiding putting sensitive information in the body of emails but rather in an encrypted attachment
  • Physical security – policing work areas for sensitive info, shredding unneeded paper copies, being wary of shoulder surfing and tailgating in sensitive areas, printer security.
  • Overview of incident reporting policy & procedures that detail what to do if they believe a security incident has occurred, who to call, what to expect and what information to provide to responsible parties
  7 lessons
What you'll learn
In this learning programme you will learn the basics of cryptocurrencies, from its origins and the blockchain technology behind it to the benefits and drawbacks of digital currencies as well as questions you should ask yourself if you are considering investing. The main aim is to educate and create a sense of realism with respect to Cryptocurrencies, related applications, smart contracts and digital assets. Participants will understand how Bitcoin and other cryptocurrency systems work, and how they challenge current financial systems. regulatory practices using real examples of how different industries are executing the technology and improving their business.
  10 lessons
What you'll learn
  • Understanding the basics of Regtech, Suptech and compliance
  • The technologies and tools driving Regtech.
  • Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data-driven decisions, and explore risk and reward.
  • Use cases on regulating technologies driving Regtech like cryptocurrencies, Artificial Intelligence, Big data etc.
  • The dynamics of Fintech and how it is transforming the world of finance.
  • Understand the dynamics of RegTech and the driving forces behind it.
  • Understand which risk and compliance functions are redefined by RegTech, why and how.​
  •   Be able to discuss concrete application cases of RegTech.
  15 lessons
What you'll learn
  • Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data driven decisions, and explore risk and reward.
  • You'll gain a foundational understanding of what exactly Fintech encompasses and how it is changing the world we live in. 3. Appraise fintech challenges and rapid response strategies.
  • Solve problems arising from digital disruptive technologies.
  • The frameworks for investing in disruptive innovative technologies.
  • Discover and understand the various types of technologies that are used both by startups and established financial institutions to make financial services more accessible to all.
  • Measure digital customer experience
  • To equip learners with the right set of skills and knowledge in Fintech
  • Understand the tools and processes that uncover value from data.
  • Learn cutting edge insights on how to manage financial innovations disruptors within a competitive landscape.
  • The dynamics of Fintech and how it is transforming the world of finance.
  8 lessons
What you'll learn
By taking this focus course, attended candidates are expected to be familiar with the following concepts: Blockchain Basic
  • Permissioned and distributed ledger
  • Public, private and side chain
  • Tokenized and token-less blockchain
  • Types of blockchain technology
  Properties of Blockchain
  • Decentralization
  • Transparency
  • Immutability
  • Availability
  • Secure
  • Uniqueness
  Concepts of Blockchain
  • Transaction life-cycle
  • Commonly used opcodes
  • UTXO
  • Transaction fee
  • Transaction pool
  • Transaction verification
  Crypto Primitives
  • Cryptographic hash function
  • Hash pointer and Merkle tree
  • Block P2P network
  • CAP theorem
  • Types of consensus
  • Genesis Block
  • Digital Signature
  • Public Key Cryptography
  • A basic cryptocurrency
  • Name Coin
  • Zcash
Bitcoin Basics
  • Creation of coins, native coins
  • Payments and double spending
  • FORTH-the precursor for Bitcoin scripting
  • Symmetric cryptography
  • Elliptical curves
  • Hashes SHA 256
  • Message digest
  • Proof of Work
  • Permissioned Blockchain
  • Actors in a Blockchain
  • Blockchain ledger
  25 lessons
  20 students