Financial Technologies and AI
Basic Information
- Course ID
31ff83d2-327b-4f3c-9ae9-ce66c50a0789- Option ID
e7f9b9ec-fec8-4655-98ab-6a19b95035da- Provider
- Lancaster University
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 7:29:37 AM
- Updated
- 3/27/2026, 11:01:15 AM
Other Options for this Course
No other options
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"suggest": "Financial Technologies and AI. Lancaster University. Accounting. Financial decision making. Business studies. Financial services. Decision making. Artificial intelligence",
"summary": "If you aspire to lead the future of finance, our MSc Financial Technologies and Artificial Intelligence (AI) is designed for you. The programme’s versatile curriculum will open doors to many high-value professions at the intersection of finance and technology, where expertise in AI and financial innovation is increasingly rewarded.\n\nMSc Financial Technologies and AI is a unique programme that combines classical quantitative finance techniques with cutting-edge developments in financial technology and big data analysis, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting. Graduates can pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and FinTech firms.\n\n**Master quantitative skills and AI applications**\nYou will develop quantitative trading skills, employing sophisticated strategies that leverage the power of data and technology. You will master financial and quantitative risk management tools, learning to identify, analyse and manage risks. You will learn to conduct rigorous simulation analyses and stress tests, ensuring resilience and strategic foresight in decision-making. You will also discover pioneering methods to predict financial and economic trends using AI-driven tools and techniques, all tailored to the world of big data.\n\n**Deep dive into financial markets**\nThis programme will help you build a deep understanding of financial markets and key financial instruments and their pricing techniques. You will learn how to develop and price new financial instruments and quantitatively assess their risks. You will gain expertise in modelling financial processes and will be able to apply this knowledge to empirical asset pricing and risk management.\n\n**Hands-on with data analytics and programming**\nYou will get comprehensive training in data analytics tools, machine learning techniques, and AI applications for financial data analysis, including big and high-frequency data. You will also become familiar with alternative asset classes such as hedge cryptocurrencies and their associated risks. You will gain practical experience in programming languages (eg, Python and R) and you will work with key financial databases such as DataStream and Bloomberg.\n\nThese combined skills will enable you to perform comprehensive financial and quantitative analysis from model development through testing and implementation using real data.\n\n**Core modules and customisation**\nDuring the taught part of your master’s programme, you will take six core modules, developing your skills and knowledge in financial technologies and data analysis. One core module is a transferrable skills module, which develops your soft skills, database management skills, and coding skills. You will also take one optional module, which allows you to tailor your degree to your personal interests.\n\nIn the summer, you will integrate all your acquired knowledge in an individual research-driven dissertation project. This project provides hands-on experience with real-world quantitative research while developing your research planning, time-management and written communication skills.",
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"scrapedLanguageRaw": "How to meet our English Language requirements\nEntry in 2026\nYou can provide evidence of your English language ability in several ways. Details are listed below.\nEnglish Language Tests accordion\nRecognised English language qualifications\nWe accept the following tests as evidence of English language ability:\nIELTS Academic (UKVI Approved), IELTS Academic (Other Centres), IELTS Online, IELTS One Skill Retake (OSR)\nTOEFL IBT (including My Best Scores), TOEFL IBT Home Edition\nPearson PTE Academic (test taken in person at a test centre only), Pearson PTE UKVI (test taken in person at a test centre only)\nLanguageCert Academic (including Online and SELT)\nLanguageCert International ESOL SELT (UKVI Approved) - test taken before 30 September 2024\nKaplan Test of English\nOxford Test of English Advanced\nCambridge English: Advanced CAE\nCambridge English: Proficiency (CPE)\nCaMLA ECPE\nIELTS, TOEFL, Pearson, LanguageCert, Kaplan and Oxford Test of English Advanced certificates are valid for 2 years from the test date and your certificate will need to be valid on the start date of your studies at Lancaster. If you have taken a test multiple times, we cannot combine scores together to meet the requirements.\nYou can register online for the Oxford ELLT digital test. Use the The Lancaster University code LAN25 for a 25% discount.\nIf you take the Pearson test, you will need to give permission for Lancaster University to verify your score.\nIf your English language score does not meet our requirements",
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