An applied Swiss-inspired curriculum combining algorithmic rigour, systems architecture, digital trust and practical engineering capability for modern technology leaders.
The MSc in FinTech at Brookfield School of Computing is engineered to provide deep competency across core computer science, systems design, and targeted domain applications. Students develop fluency in software craftsmanship, distributed architectures, algorithm optimization, and data governance.
Instruction balances rigorous theoretical foundations with practical code repositories, laboratory simulations, and ethical technology review aligned with modern international computing standards.
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FTC711 | Mathematical Foundations of Computational Finance & Stochastic Calculus | Theory | Derive Black-Scholes-Merton PDEs, Ito's lemma, risk-neutral pricing and jump-diffusion models for financial assets. |
| FTC712 | Algorithmic Trading Systems & Low-Latency Execution Lab | Practical | Construct high-frequency order book matching engines, order routing logic and market data feeds in C++ and Python. |
| FTC713 | Distributed Ledger Technology & Advanced Consensus Protocols in FinTech | Theory | Evaluate Proof-of-Stake validator dynamics, Byzantine Fault Tolerance (BFT) bounds and state finality guarantees. |
| FTC714 | Smart Contract Engineering & Solidity Security Lab | Practical | Develop complex ERC-20/721/1155 smart contracts, reentrancy guards and formal verification test suites in Foundry. |
| FTC715 | Financial Cryptography, Zero-Knowledge Proofs & zk-SNARKs | Theory | Deconstruct elliptic curve cryptography, Groth16, PLONK, polynomial commitments and private financial verification. |
| FTC716 | Zero-Knowledge Circuit Engineering Workshop (Circom / Halo2) | Practical | Author and verify zk-SNARK circuits for private financial balance proofs and anonymous compliance credentials. |
| FTC717 | Empirical Quantitative Research Methodologies in FinTech | Theory | Design backtesting methodologies, survivorship bias corrections and statistical significance testing for financial models. |
| FTC718 | Quantitative Portfolio Optimization & Risk Modeling Studio | Practical | Implement Markowitz mean-variance frontiers, Black-Litterman allocations and Value-at-Risk (VaR) simulations. |
| FTC719 | Swiss & International Financial Market Regulations (FINMA, MiCA) | Theory | Analyze Swiss FINMA token guidelines, EU MiCA regulations, AML/KYC travel rules and compliance mandates. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FTC721 | Decentralized Finance (DeFi) Protocols & Automated Market Makers | Theory | Deconstruct constant-product invariant curves (Uniswap v2/v3), flash loan mechanics and liquidation liquidities. |
| FTC722 | DeFi Protocol Simulation & Liquidity Stress Testing Lab | Practical | Simulate automated market maker price slippage, impermanent loss and arbitrage bot dynamics under extreme volatility. |
| FTC723 | High-Performance Blockchain Architecture & Layer-2 Scaling | Theory | Analyze optimistic rollups (Arbitrum), ZK-rollups (Starknet), data availability layers and modular blockchain stacks. |
| FTC724 | Layer-2 Rollup Deployment & Cross-Chain Bridge Workshop | Practical | Deploy decentralized applications to Layer-2 testnets and engineer cross-chain state relays and messaging bridges. |
| FTC725 | Machine Learning for Credit Scoring, Fraud Detection & Risk in FinTech | Theory | Evaluate gradient-boosted decision trees, graph neural networks for anti-money laundering and anomaly detection. |
| FTC726 | Financial Fraud Detection & Graph Intelligence Lab | Practical | Detect transaction ring laundering and payment fraud patterns using graph analytics in Neo4j and PyTorch Geometric. |
| FTC727 | Central Bank Digital Currencies (CBDC) & Interbank Settlement | Theory | Evaluate retail vs wholesale CBDC architectures, BIS Project Dunbar frameworks and real-time gross settlement (RTGS). |
| FTC728 | Smart Contract Security Auditing & Slither / Echidna Workshop | Practical | Audit production smart contracts using static analysis (Slither), property-based fuzzing (Echidna) and symbolic execution. |
| FTC729 | Enterprise FinTech Case Study & Collaborative Architecture Design | Practical | Deliver an institutional digital asset or decentralized financial infrastructure architecture addressing industry needs. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FTC731 | Frontiers in Tokenomics, Real-World Asset (RWA) Tokenization & Web3 | Theory | Critically assess token economic mechanisms, bonding curves, legal wrappers for asset tokenization and stablecoin design. |
| FTC732 | Real-World Asset (RWA) Tokenization Engineering Lab | Practical | Deploy institutional asset tokenization contracts featuring transfer restrictions, identity verification and compliance gates. |
| FTC733 | Strategic FinTech Leadership, Banking Transformation & Open Banking | Theory | Formulate open banking API strategies (PSD2/Open Banking UK), fintech partnership models and legacy core banking migration. |
| FTC734 | Financial Time-Series Deep Learning Lab (Transformers / LSTMs) | Practical | Train transformer models on high-frequency limit order book tick data for volatility prediction and execution optimization. |
| FTC735 | Privacy-Preserving Computation in Financial Services | Theory | Evaluate homomorphic encryption for encrypted credit scoring, secure multi-party computation and confidential enclaves. |
| FTC736 | MSc FinTech Thesis Proposal Colloquium & Defense | Practical | Author and defend a formal scientific master's research proposal specifying quantitative financial models. |
| FTC737 | Venture Capital in FinTech, Regulatory Sandboxes & Innovation Strategy | Theory | Examine FinTech startup valuations, regulatory sandbox participation, token warrant structures and venture funding. |
| FTC738 | Pre-Thesis Quantitative Model Prototyping & Pilot Lab | Practical | Construct initial experimental trading algorithms or smart contract prototypes and gather preliminary validation metrics. |
| FTC739 | Industry FinTech Practicum & Market Simulation Engagement | Practical | Deploy and evaluate trading strategies or decentralized protocols within simulated market exchange environments. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FTC741 | MSc FinTech Dissertation: Empirical Methodology & Experimental Backtesting | Practical | Formulate the formal empirical research methodology, financial dataset curation and backtesting protocols in FinTech. |
| FTC742 | MSc FinTech Dissertation: Protocol Engineering & Quantitative Architecture | Practical | Engineer the complete financial software system, smart contract protocol or quantitative trading engine in FinTech. |
| FTC743 | MSc FinTech Dissertation: Stress Testing & Empirical Performance Evaluation | Practical | Execute rigorous financial backtests, market replay stress tests and statistical performance evaluations. |
| FTC744 | Critical Literature Synthesis & State-of-the-Art Analysis in FinTech | Theory | Synthesize academic publications from the Journal of Financial Economics, Mathematical Finance and IEEE S&P. |
| FTC745 | Scalability Benchmarking, Gas Optimization & Security Audit Lab | Practical | Subject smart contracts and financial engines to extreme load testing, gas profiling and formal verification. |
| FTC746 | Scientific Manuscript Preparation & Peer Review in FinTech | Theory | Author a publication-ready academic manuscript adhering to top-tier financial technology and quantitative standards. |
| FTC747 | Executive Strategic Direction & Institutional FinTech Advisory | Theory | Translate specialized FinTech research into actionable C-suite technology strategies and executive institutional roadmaps. |
| FTC748 | Comprehensive Technical Portfolio & Reproducible Code Repository | Practical | Package reproducible backtest environments, smart contract source code, test suites and technical documentation in FinTech. |
| FTC749 | MSc FinTech Thesis Oral Defense & Public Academic Viva Voce | Practical | Defend the novel scientific thesis and financial architecture before an academic examination committee. |
Recognized Bachelor Degree in computing, engineering, mathematics, quantitative discipline or relevant technical equivalence. English proficiency IELTS 6.5+ or equivalent.
Brookfield School of Computing is an independent private education institution in formation. Academic programmes, entry requirements, fees and awards are subject to institutional review and applicable Swiss legal regulations.