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variety of topics, including statistical and smart contracts that define overview of the various types of cryptocurrencies, and emerging FNT509- Cybersecurity in FNT599- Thesis Research in
analysis, data visualization, predictive blockchain systems. The course will risks that fintech companies face, payment technologies. Key challenges Financial Services FinTech
modeling, and machine learning, also address the socio-economic including operational, credit, market, such as security, fraud prevention,
all tailored to financial applications. implications of cryptocurrencies, regulatory, and cybersecurity risks. and regulatory considerations will be Credit Hour: 3 Credit Hour: 6
Students will engage with real world including issues of decentralization, Students will analyze case studies of critically analyzed to prepare students Prerequisite: FNT502 and FNT507 Prerequisite: 27 Credit Completion
financial datasets and tools, such privacy, and the future of finance. fintech firms to understand how they for real-world applications. Through
as Excel, Python, and R, to conduct By the end of the course, students identify, assess, and mitigate these case studies and practical examples, Cybersecurity in Financial Services. In This course equips students with
analyses and visualize results. will have a solid understanding risks in an environment characterized participants will engage with practical today’s digital landscape, the financial the knowledge and skills to conduct
Case studies from investment of both theoretical concepts and by rapid innovation and regulatory tools and strategies that e-commerce services sector faces unprecedented original research in financial
management, risk assessment, and practical knowledge, preparing them change. Through lectures, group businesses utilize to optimize challenges and threats due to technology (FinTech), focusing on
corporate finance will illustrate the for careers or further study in this discussions, and hands-on projects, transactions and enhance customer the increasing sophistication of addressing real-world challenges
practical use of analytics in solving dynamic field. the course will cover essential risk experiences. This course is ideal for cyberattacks. This course provides an and advancing innovative solutions.
financial problems. Emphasis will management frameworks and tools, anyone looking to develop a solid in-depth exploration of cybersecurity Students will critically analyze the
be placed on developing a strong FNT505- Artificial Intelligence in emphasizing the importance of data foundation in e-commerce practices principles and practices specifically current FinTech landscape through
analytical mindset and understanding Finance analytics in risk assessment. Students and payment solution frameworks. tailored for the financial services comprehensive literature reviews,
how data can enhance strategic will learn how machine learning and industry. Students will gain an identify research gaps, and develop
decision making within financial Credit Hour: 3 artificial intelligence can enhance FNT508- Financial Modeling and understanding of the unique a structured research proposal.
institutions. Through hands on Prerequisite: FNT503 risk management practices and how Valuation regulatory environment, critical The course emphasizes rigorous
projects and collaborative learning, Artificial Intelligence in Finance fintech firms can balance innovation infrastructure, and sensitive data application of qualitative and
students will gain the necessary explores the transformative role with compliance. Additionally, the Credit Hour: 3 that define the sector. The course quantitative research methodologies,
skills to interpret complex financial of AI technologies in the financial course will address the implications Prerequisite: FNT501 and FNT503 will cover key topics such as risk ethical considerations, and risk
information, identify trends, and sector. This course provides a of emerging technologies like Financial Modeling and Valuation management frameworks, threat assessments aligned with regulatory
communicate their findings effectively comprehensive overview of how blockchain and digital currencies on This course provides an in-depth intelligence, incident response, frameworks.
to stakeholders. This course is ideal machine learning, natural language risk management strategies. By the exploration of financial modeling and and the role of governance in Throughout the course, students will
for those looking to advance their processing, and advanced data end of the course, students will have valuation techniques essential for safeguarding financial institutions. synthesize findings into meaningful
careers in finance by harnessing analytics are revolutionizing financial a solid foundation in the principles analyzing investment opportunities Students will analyze real-world contributions and effectively
the power of data analytics to drive services. Students will learn about of risk management specific to the and corporate financial performance. case studies of cyber incidents in communicate their research through
financial success. the application of AI in areas such fintech industry, preparing them for Students will learn to construct banking, insurance, and investment presentations and defense. By
sectors, examining lessons learned
FNT504- Blockchain and as risk assessment, fraud detection, careers in this dynamic and growing robust financial models using and strategies for improvement. integrating theoretical principles with
field.
Cryptocurrency algorithmic trading, customer spreadsheet software, focusing on Additionally, the course will highlight practical applications, this course
relationship management, and FNT507- E-commerce and key components such as revenue emerging technologies and trends, prepares students to make impactful
Credit Hour: 3 personalized financial planning. Payment Systems forecasting, expense modeling, including artificial intelligence, contributions to the evolving FinTech
Prerequisite: FNT501 The course will also cover ethical and cash flow projections. The blockchain, and the impact of industry.
considerations, regulatory challenges, Credit Hour: 3 course covers various valuation digital currencies on security
Blockchain and Cryptocurrency and the implications of AI on financial Prerequisite: FNT502 and FNT504 methodologies, including discounted practices. Through a combination
is a comprehensive course markets and institutions. Through cash flow (DCF) analysis, comparable of lectures, discussions, and hands-
designed to introduce students case studies and practical projects, E-commerce and Payment Systems company analysis, and precedent on activities, students will develop a
to the revolutionary technologies participants will gain hands-on is an in-depth exploration of the transactions. Through practical comprehensive understanding of the
underpinning digital currencies and experience with AI tools and digital commerce landscape and the exercises and case studies, students importance of robust cybersecurity
decentralized systems. This course techniques, equipping them with the various payment mechanisms that will gain hands-on experience in measures in maintaining consumer
explores the fundamental principles skills needed to navigate the evolving facilitate online transactions. This building financial models that inform trust and ensuring the resilience of
of blockchain technology, including landscape of finance powered by course examines the evolution of strategic decisions and enhance financial services organizations. This
its architecture, mechanisms of artificial intelligence. e-commerce, current trends, and the understanding of market dynamics. course is essential for anyone seeking
operation, and potential applications key technologies that drive online Topics include the foundations of to pursue a career in cybersecurity
across various industries. Students FNT506- Risk Management in business operations. Students will financial modeling, sensitivity analysis, within the financial sector or
will examine the evolution of Fintech (online) gain a comprehensive understanding scenario analysis, and the integration enhance their understanding of the
cryptocurrency, with a focus on of essential components such as of financial modeling with business intersection between finance and
Bitcoin and other prominent Credit Hour: 3 online marketplaces, business-to- strategy. By the end of the course, technology.
cryptocurrencies, understanding Prerequisite: FNT502 and FNT503 business (B2B) and business-to- students will have developed the skills
the dynamics of crypto markets, Risk Management in Fintech consumer (B2C) models, mobile necessary to create comprehensive
trading strategies, and regulatory explores the unique challenges commerce, and the impact of financial models and perform
frameworks. Through lectures, case and opportunities associated with social media on buying behavior. thorough valuations, providing a
studies, and practical exercises, managing risk within the rapidly The course will also delve into the strong framework for careers in
participants will gain insights into evolving financial technology sector. intricacies of payment systems, finance, investment banking, equity
the security, consensus models, This course provides a comprehensive including credit cards, digital wallets, research, and corporate finance.

Abu Dhabi University | Postgraduate Catalog 2026 - 2027 Abu Dhabi University | Postgraduate Catalog 2026 - 2027