START MODULE. PRE-PROGRAM. DESCRIPTION. The pre-program is a comprehensive introduction to some of the disciplines and frameworks you're going to be studying over the course of the program. It brings you up to speed on quantitative methods, SQL, Excel and Github, introduces you to Python, computational thinking and Linux, and provides essential advice on job applications and interviews for FinTech roles.. QUANTITATIVE METHODS. This multimedia self-assessment tool has been designed to allow you to prepare yourself and achieve the basic quantitative concepts necessary for a successful beginning in your Master Program.. EXCEL. This course is a practical approach to Excel as tool to solve business problems. This course will help you understand the basic ways to work with Excel for Business. A final test will be included to check your understanding of this basic introduction and their level of Excel.. SQL. SQL is the language of the data, widely used in every company and one of the most used tools to do Analytics. During the master you will learn, starting from scratch, the SQL you need to know but the following online course will give you a very good introduction to this subject that will help you a lot during your Master.. GITHUB. Git Hub is an online hosting service that became the standard in many areas regarding software development, content repository and version controlling. Many open-source software projects are hosted and developed there.. Introduction to Python. Students in this course will be introduced to the powerful and accessible language of Python, widely used for example in the data science community. Python, known for its ease of use, will be one of the main languages that students will be using in this program, and one of the most used languages in the software developing world.. Computational Thinking. Students in this course will be introduced to computational thinking, learning the fundamental skills to approach problems in computer science and beyond. In this course students will understand the concept of computational thinking applied to problem solving, understand the main techniques to use when applying computational thinking: abstraction, decomposition, data representation and algorithmic thinking; and explore the ethical considerations that apply to computer science.. Linux. Linux is the most important operating system, and several technologies runs under Linux. Having knowledge of the most basic commands of Linux will be really helpful when students deal with some of the courses, for example when interacting through the command shell.. Careers Development. Every year we identify the need of assisting students from different backgrounds in mastering basic concepts that are essential for their Professional Development. This course will introduce students into the essential components of a job application package, while guiding them through the interview process. Making interviews in a tech environment is not easy, so the sooner we understand the steps to take and the skills to develop, the more probably we will succeed in an interview process.. Foundations Week. Foundations Week. Held the week before the start of the program, Foundations Week is a mandatory component that equips students with essential analytical and technical skills. Through these courses, students strengthen their ability to think critically and programmatically, regardless of their academic background.. MATHEMATICS FUNDAMENTALS. This course introduces key mathematical concepts, including calculus, linear algebra, and descriptive statistics. Students will learn how these topics are applied to real-world problems in fields like computer science, robotics, and engineering. The course emphasizes critical-thinking and problem-solving skills essential for their future careers.. Programming Thinking. This course introduces fundamental programming concepts to students with varying levels of experience, focusing on how programming works and how to think programmatically. Through lectures and hands-on activities, students will learn to apply programming logic to solve real-world problems, using Python as their primary tool.
CORE PERIOD. . TERM 1. Term 1 Description. This term lays the technical groundwork for the program, immersing students in the core systems, tools, and strategies driving financial technology. Through courses in Python programming, AI and machine learning, computer infrastructure, databases, and software engineering, students build the technical fluency and problem-solving mindset essential for success in the FinTech landscape. The term also includes a focus on technology leadership, equipping students to align innovation with business strategy from day one.. Programming with Python. Students will be introduced to Python programming, learning the syntax, structure and capabilities of the language. This course emphasizes the application of Python to solve real-world problems, covering data structures, control flow and functions.. Technology Leadership and Strategy. Students will explore the key elements of technology leadership, focusing on how to develop and implement strategies that align with business objectives. The course will equip students with the skills to lead technology-driven business strategies and manage innovation within organizations.. Computer Science I: Computing Infrastructure and Networks. This course delves into the principles of computing infrastructure, focusing on networks, hardware and communication protocols. Students will explore how networks are designed, maintained and optimized for performance in various computing environments.. Data Management I: Mathematics and Algorithms for Computing. This course focuses on mathematical techniques and algorithmic strategies used in computing. Students will learn about algorithm complexity, optimization and mathematical models used to solve computational problems.. Computer Science II: Operating Systems and Software Engineering. Students will explore the fundamental concepts behind operating systems and software engineering. This course covers topics such as process management, memory allocation and system security, alongside software development methodologies and best practices in software engineering.. Data Management II: Data Architecture and Databases. Students will study the architecture and design of modern databases, learning how data is stored, managed and retrieved in computing systems. Topics include relational and non-relational databases, data modeling and query optimization.. TERM 2. Term 2 Description. The second term broadens your FinTech horizons and deepens your knowledge in key disciplines. You'll explore the structures in place that underpin our global financial ecosystem, from financial institutions and markets to emerging tech. You'll advance your programming and algorithmic skills and examine ML in finance. A comprehensive overview of cybersecurity will give you the skills you need to secure systems and transactions, and you'll analyze digital payment technologies and trends. This term also imparts the technical and methodological tools you'll need to conduct empirical research in a finance setting, bridging the gap between traditional and tech-first techniques.. Building a FinTech. Advanced and technical course that aims to equip students with applied programming skills and algorithmic thinking to solve real-world financial problems using technology.. Machine Learning for Finance. This course introduces students to the core principles and applications of machine learning (ML) in financial contexts. It combines theoretical foundations with hands-on programming to enable students to design, implement, and evaluate ML models that address real-world financial challenges.. Cybersecurity. This course provides a comprehensive overview of cybersecurity principles, challenges, and practices. As financial services become increasingly digital and data-driven, the importance of securing systems, data, and transactions against cyber threats has become critical.. Digital Payment Technologies and Trends. This course explores the technologies, business models, and regulatory dynamics shaping the rapidly evolving landscape of digital payments. As global commerce becomes increasingly digital, understanding payment infrastructures and innovations is essential for FinTech professionals and financial institutions.. Technologies for Empirical Methods in Finance. This course provides students with the technical and methodological tools necessary to conduct empirical research in finance using modern data science and computing technologies. It bridges the gap between traditional econometric techniques and the practical, technology-driven approaches required to analyze increasingly large and complex financial datasets.. Financial Institutions, Markets, and Technology. This course examines the structure, functions, and evolution of financial institutions and markets in the context of rapid technological change. It explores how emerging technologies—such as blockchain, artificial intelligence, cloud computing, and APIs—are reshaping the roles of banks, insurers, asset managers, and capital markets participants.
Elective period. . TERM 3. TERM 3 DESCRIPTION. In the third and final term, you can personalize your academic journey by choosing one of four distinct options, depending on your goals and interests. You may opt to pursue a concentration, selecting a focused track in cutting-edge areas that are in high demand across the tech and financial industries. Alternatively, you can choose from a diverse selection of electives to broaden your expertise in diverse topics of interest. If you are seeking international exposure, the Exchange Program offers the opportunity to study at one of IE University’s prestigious partner institutions around the world. Finally, you may choose to complete a professional internship, gaining hands-on industry experience while also taking three elective courses. These flexible options allow students to tailor their Term 3 experience to best support their career aspirations and academic interests. Regardless of the option you choose, the following two courses are mandatory in this term: Web3, Blockchain, Cryptocurrencies and Virtual Assets: this course offers an in-depth exploration of the technological foundations and financial applications of blockchain, cryptocurrencies, and the emerging Web3 ecosystem. It is designed to equip students with both conceptual knowledge and practical skills to critically analyze and engage with decentralized technologies and digital asset markets. Generative AI: t his course introduces students to Generative Artificial Intelligence (GenAI)—a rapidly evolving field that enables machines to create new content, simulate data, and automate decision-making processes. The course explores the foundational models, algorithms, and financial applications of GenAI, including its disruptive potential across the FinTech landscape.. CONCENTRATIONS. Artificial Intelligence. Reinforcement Learning. This course introduces students to Reinforcement Learning (RL)—a branch of machine learning where agents learn to make sequential decisions by interacting with dynamic environments. In the context of financial technology, RL offers powerful tools for developing adaptive, data-driven strategies in areas such as algorithmic trading, portfolio optimization, robo-advising, and credit risk management.. Natural Language Processing. This course introduces the principles and applications of Natural Language Processing (NLP), including a focus on its transformative impact in the financial sector. NLP enables machines to understand, interpret, and generate human language, providing powerful tools for analyzing unstructured data such as financial news, earnings reports, regulatory filings, social media, and customer interactions.. Deep Learning. This course offers a comprehensive introduction to Deep Learning, with a focus on its applications in financial technology. Deep learning, a subset of machine learning based on artificial neural networks, enables the modeling of complex, high-dimensional financial data for predictive analytics, pattern recognition, and decision-making.. Innovation in Banking. Algorithmic Trading. This course provides an in-depth exploration of algorithmic trading, where computer algorithms are used to execute trades based on predefined strategies and market signals. As algorithmic trading dominates modern financial markets, understanding its principles, design, and implementation is essential for FinTech professionals.. Risk and Fraud Analytics. This course focuses on the application of data analytics, machine learning, and artificial intelligence to risk management and fraud detection in financial services. With the increasing digitization of finance, advanced analytics are essential to identify vulnerabilities, detect anomalies, and mitigate threats in real time.. Sustainable Finance. This course explores the principles, frameworks, and tools of sustainable finance, with a focus on how financial technologies are accelerating the transition to a more responsible and climate-aligned financial system. Students will examine how environmental, social, and governance (ESG) factors are integrated into investment strategies, credit risk models, and corporate financial decision-making.. Virtual Assets. Smart Contracts. This course provides an in-depth introduction to smart contracts—self-executing programs stored on blockchain platforms that facilitate, verify, and enforce the negotiation or performance of agreements without intermediaries. As the backbone of decentralized finance (DeFi) and a key component of Web3 innovation, smart contracts are transforming how financial products and services are designed, deployed, and secured.. Stable Coins. This course provides an in-depth analysis of stablecoins—digital assets designed to maintain a stable value relative to a reference currency or asset. As a critical bridge between traditional finance and the digital asset economy, stablecoins are central to payments, decentralized finance (DeFi), cross-border settlements, and the development of central bank digital currencies (CBDCs).. Blockchain XRP, and Policy Global Gateway Program. This program is for students who want to build their careers in the Blockchain and FinTech industry. Through this program, we aim to provide students with comprehensive knowledge and practical skills in blockchain technology and FinTech, focusing on XRP and regulatory insights.. Cybersecurity. AI and Cybersecurity . This course explores the intersection of artificial intelligence (AI) and cybersecurity, with a specific focus on applications within the financial technology sector. As financial services become increasingly digital and interconnected, AI offers powerful tools to detect, prevent, and respond to cyber threats in real time, enabling more resilient and adaptive security systems.. Ethical Hacking and Incident Response. This course provides a hands-on introduction to ethical hacking and incident response in the context of financial systems and digital infrastructures. As FinTech platforms become prime targets for sophisticated cyberattacks, it is critical for professionals to understand how vulnerabilities are exploited and how to respond effectively and ethically to security breaches.. Cryptography and PQC. This course explores the principles, algorithms, and practical applications of cryptography, with a special focus on emerging post-quantum cryptography (PQC) techniques relevant to the future of secure financial systems. As FinTech increasingly relies on digital identity, secure transactions, and data protection, strong cryptographic foundations are essential for ensuring confidentiality, integrity, and authentication.. Blockchain Services. Bitcoin Fundamentals. This course offers a comprehensive introduction to Bitcoin, the first and most widely adopted cryptocurrency, and its underlying technological, economic, and social foundations. As Bitcoin continues to influence global finance, digital assets, and decentralized innovation, a deep understanding of its design and implications is essential for FinTech professionals.. Ethereum & L2 solutions. This course offers a deep dive into Ethereum, the leading smart contract blockchain platform, and its rapidly evolving ecosystem of Layer 2 (L2) scaling solutions. As a cornerstone of decentralized finance (DeFi), tokenization, and Web3 applications, Ethereum is central to understanding the technological foundations and innovation pathways within modern FinTech.. Introduction to Hyperledger. This course provides an in-depth introduction to Hyperledger, a suite of open-source enterprise-grade blockchain frameworks hosted by the Linux Foundation. Unlike public blockchain platforms like Bitcoin or Ethereum, Hyperledger is designed for permissioned, scalable, and privacy-focused applications in regulated industries—making it highly relevant for FinTech use cases such as digital identity, asset tokenization, supply chain finance, and interbank clearing.. Cloud Solutions. Cloud Solution Architectures. This course introduces students to the design, deployment, and management of cloud-based architectures tailored to the needs of the financial technology (FinTech) sector. As FinTech applications demand scalability, reliability, security, and compliance, understanding cloud-native infrastructure is essential for building modern financial services.. Data Analytics in the Cloud. This course explores how modern cloud-based platforms and services are used to manage, process, and analyze large-scale financial data. In today’s FinTech landscape, real-time insights, automated decision-making, and scalable data pipelines are critical—and cloud infrastructures enable this at unprecedented speed and scale.. DevOps & CI/CD. This course introduces students to the principles and practices of DevOps and Continuous Integration / Continuous Deployment (CI/CD) in the context of modern financial technology systems. As FinTech companies demand fast, reliable, and secure delivery of software updates, DevOps enables the automation and integration of development, testing, and operations workflows to improve agility and quality.. Quantum Computing. Quantum for Business. This course introduces the strategic and economic implications of quantum computing for business in general and for the financial industry in particular. Emphasis is placed on business use cases, investment readiness, and the potential for early adoption within FinTech ecosystems.. Quantum Development. This technical course provides hands-on experience with quantum programming and algorithm development, tailored to financial applications. Students will learn to work with quantum computing frameworks such as Qiskit (IBM), and implement foundational algorithms. The course explores use cases in financial modeling, optimization, and simulation, helping students bridge the gap between quantum theory and real-world FinTech development.. High Performance Computing. This course introduces the principles and tools of High Performance Computing (HPC) as a foundation for tackling large-scale, compute-intensive problems in finance. Students will learn parallel programming, GPU acceleration, and distributed computing strategies. The course also prepares students to understand the architectural transition between classical and quantum computing for financial workloads.. EXCHANGES. Broaden your perspective by spending your Elective Period in term 3 on an International Exchange at one of our world-class partner universities. Over the course of the exchange, students will add depth to their academic knowledge, expand their international experience, and widen their professional network. While schools available for exchange vary according to the timing of the Electives Period, this program offers exchange agreements with:. INTERNSHIPS. During the Elective Period, you can apply to do an internship. This option has been created for those who wish to gain specific, real-world experience that will support their career change to another industry, sector, region and/or role. This option also includes the completion of three elective courses. There are two ways you may apply to an internship: The IE School of Science and Technology has a panel of partner companies you can apply to intern with. These companies are very diverse and could also include international internships. Alternatively, you can find an internship by other means, in which case your course coordinator would need to approve it based on the conditions and eligibility criteria.. ELECTIVES. In the third term, one of the possible options is to choose from a wide range of electives, allowing you to tailor your academic experience to your personal interests and professional goals. These electives are listed below.. Advanced Data Visualization Policy and Regulation for Financial Technology Islamic FinTech Excel for Consulting and Decision Making Programming with Solidity/Rust Sustainable Finance Process Mining & Automation Simulation and Modelling Techniques Spatial Computing for Finance Agentic AI: Transforming IT Ops and Service Mgmt Reinforcement Learning Natural Language Processing Deep Learning Algorithmic Trading Risk and Fraud Analytics Sustainable Finance. Smart Contracts Stable Coins Blockchain XRP, and Policy Global Gateway Program AI and Cybersecurity Ethical Hacking and Incident Response Cryptography and PQC Bitcoin Fundamentals Ethereum & L2 solutions Introduction to Hyperledger Cloud Solution Architectures Data Analytics in the Cloud DevOps & CI/CD Quantum for Business Quantum Development High Performance Computing Managing the FinTech
CAPSTONE PROJECTS. Capstone Project. In the final term, students put their learning into action through the Capstone Project. This hands-on experience allows them to tackle real-world challenges, whether by collaborating with one of our leading partners, launching a FinTech venture, or conducting applied research. The Capstone marks the culmination of the master’s journey, requiring students to integrate the full range of skills and knowledge they've acquired over the preceding months. It showcases each student’s ability to bridge theory and practice to deliver thoughtful, high-impact solutions. You'll have demonstrable evidence of your capabilities for potential employers and gain real experience in the FinTech sector.. CORPORATE PROJECT. The Corporate Project is an experiential consulting experience that offers students the opportunity to address real challenges faced by financial institutions, startups, FinTech companies, or other organizations at the intersection of finance and technology. Student teams tackle a concrete challenge presented by their corporate partner, working under the guidance of a mentor to develop actionable, well-researched recommendations. This experience allows students to apply their FinTech expertise, spanning areas such as digital finance, blockchain, and data-driven decision-making, in a dynamic, real-world setting.. Venture Project. The Venture Project empowers students to explore entrepreneurial opportunities in the FinTech space by guiding them through the process of investigating, validating, and developing a Minimum Viable Product (MVP) and a functional pilot. The goal is to transform an innovative idea into a ready-to-launch startup focused on financial technology, digital finance, or related data-driven services. With expert mentorship and access to IE’s entrepreneurial ecosystem, the Venture Project helps transform forward-thinking concepts into actionable ventures with launch potential.. RESEARCH PROJECT. Students who select the Academic Research Project will engage in an in-depth exploration of a topic relevant to the FinTech industry. This option allows students to apply and integrate the knowledge acquired throughout the program—such as financial innovation, blockchain, algorithmic finance, or regulatory technology—through a rigorous academic investigation. Working under the guidance of a full-time faculty researcher, students will design and execute a structured research study that contributes to the growing body of knowledge in financial technology. The project culminates in a formal academic paper, including a comprehensive literature review and a sound research methodology.
MAKE THE MOST OF YOUR PROGRAM. CERTIFICATIONS. CERTIFICATIONS DESCRIPTION. CERTIFICATIONS. This program helps you boost your career through certifications designed to strengthen your profile and support your progress along your chosen career path. You can earn the following certifications: Amazon Web Services Academy Microsoft learn AWS Certified Data Engineer AWS Certified Cloud Partitioner Certified Tableau Data Analyst Certified Tableau Desktop Specialist Google Associate Cloud Engineer IBM Certified Specialist in AI Entreprise Workflow V1 Oracle Autonomous Database Specialist Certification IE Certificate in Foundations of Sustainability . Sustainabiility Certificate. In today’s world, organizations are placing sustainability and environmental, social and governance (ESG) concerns at the heart of their businesses. At IE, we offer an optional certificate to help you learn how to tackle these challenges and adopt a sustainability mindset. With the IE Certificate in Foundations of Sustainability, you’ll get prepared to tackle the social, economic and environmental challenges of today’s world in any organization. This certificate can be completed alongside your core studies. In order to earn the certificate, students must obtain ten relevant credits. Students may obtain these credits through eligible courses, electives, and extracurricular activities such as participation in certain student clubs. Some of the aforementioned may already be included in your program, while others will need to be added. Additionally, there’s one mandatory component, the Online Learning Journey. Maximum flexibility has been assured, providing several ways to earn the required number of credits.. MENTORSHIP PROGRAM. Mentorship program. The Tech Mentorship Program is an initiative designed to establish a personal and professional relationship of learning and trust between a mentor and a mentee.Students who choose to participate will be matched with a mentor from our global mentors community, which includes over 120 professionals. The program focuses on personalized growth, expanding professional networks, and enhancing technical and professional skills.. INTERNATIONAL EXPERIENCES. Berkeley Immersion Week. Berkeley Immersion Week. Fast track your tech career: Berkeley Immersion Week opens doors to Silicon Valley's top companies and minds.. Tech Immersion Week. Opportunities, challenges and networking. Experience global tech hubs such as Amsterdam and Dublin, among others, through the Global Immersion Week. This international journey offers the opportunity to visit leading companies, engage with industry professionals, explore diverse cultures, and gain valuable insights into the tech landscape and your future career.. TECH INITIATIVES. Berkeley Immersion Week. Joined by other students from IE School of Science & Technology, you'll participate in a hands-on, one-week program where you'll meet industry leaders from Silicon Valley.. Tech Venture Bootcamp. The Tech Venture Bootcamp is a pioneering 6-day program designed for innovators who are eager to create groundbreaking ventures in their own unique way.. IE Sustainability Datathon. The IE Sustainability Datathon is a data-driven sustainability challenge where students collaborate with an industry partner to analyze real datasets and design innovative solutions to environmental issues.. Rise Europe Alliance. The Rise Europe Alliance, comprising 20 academic and entrepreneurial institutions, shapes the next generation of European talent through diverse perspectives and collaboration, fostering global market success and driving innovation at its annual summit.. Management Xponential Technology (MXT). Designed for students with extraordinary ambition to transform the world through disruptive technologies, this program fosters a growth mindset and combines the expertise of IE School of Science and Technology and IE Business School. Students gain the knowledge, tools, and networks to create impact at the intersection of business and technology, while engaging with leading entrepreneurs, innovators, and global leaders who inspire their transformative journeys.. COMPANY VISITIS. Throughout the program, you’ll have the opportunity to visit leading tech companies, gaining first-hand exposure to cutting-edge technologies and connecting with professionals who are driving innovation in computer science and digital transformation. You'll visit companies such as:
