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Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges... Read more
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.
If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.
You 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.
Through this programme, you will become proficient in the technical skills required to excel in financial technology areas while developing an inquisitive mindset that thrives on innovation and research. While at Lancaster, you will benefit from our sector-leading specialist Finance career coach.
During your master's programme, you will take six core modules, which are described in more detail in the course structure:
Quantitative Methods for Finance
Financial Markets and Securities
Fund Management
Mathematics for Artificial Intelligence
Financial Econometrics
Risk Management and AI
You will also choose two from the three following optional modules:
AI and Cyber Security for Business
Derivative Pricing
Stochastic Calculus for Finance
In the third term, you will work on your master's dissertation, which is an independent research project, with guidance from your academic supervisor. You will continue to work on your dissertation throughout the remainder of the summer and submit it in September at the end of the master's programme.
Careers
This master's programme will prepare you for diverse career paths across the global financial sector. You could pursue roles such as: quantitative analyst, data scientist, risk manager, quantitative trader, quantitative analyst, investment analyst, portfolio manager, quant developer, hedge fund manager, algorithmic trading strategist, financial engineer, fintech developer, machine learning engineer, quantitative researcher, model developer, model validation specialist, financial consultant, cryptocurrency analyst, ESG quantitative analyst, or high-frequency trading developer, among many others.
Alumni from the Department of Accounting and Finance work in prestigious organisations, including investment banks, hedge funds, asset management firms, proprietary trading firms, fintech companies, consulting firms, central banks, sovereign wealth funds, pension funds, research institutes, and financial regulatory bodies.
Many graduates also continue into PhD programmes or establish their own fintech ventures.
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges... Read more
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.
If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.
You 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.
Through this programme, you will become proficient in the technical skills required to excel in financial technology areas while developing an inquisitive mindset that thrives on innovation and research. While at Lancaster, you will benefit from our sector-leading specialist Finance career coach.
During your master's programme, you will take six core modules, which are described in more detail in the course structure:
Quantitative Methods for Finance
Financial Markets and Securities
Fund Management
Mathematics for Artificial Intelligence
Financial Econometrics
Risk Management and AI
You will also choose two from the three following optional modules:
AI and Cyber Security for Business
Derivative Pricing
Stochastic Calculus for Finance
In the third term, you will work on your master's dissertation, which is an independent research project, with guidance from your academic supervisor. You will continue to work on your dissertation throughout the remainder of the summer and submit it in September at the end of the master's programme.
Careers
This master's programme will prepare you for diverse career paths across the global financial sector. You could pursue roles such as: quantitative analyst, data scientist, risk manager, quantitative trader, quantitative analyst, investment analyst, portfolio manager, quant developer, hedge fund manager, algorithmic trading strategist, financial engineer, fintech developer, machine learning engineer, quantitative researcher, model developer, model validation specialist, financial consultant, cryptocurrency analyst, ESG quantitative analyst, or high-frequency trading developer, among many others.
Alumni from the Department of Accounting and Finance work in prestigious organisations, including investment banks, hedge funds, asset management firms, proprietary trading firms, fintech companies, consulting firms, central banks, sovereign wealth funds, pension funds, research institutes, and financial regulatory bodies.
Many graduates also continue into PhD programmes or establish their own fintech ventures.
Financial Innovations, Technologies and Artificial Intelligence MSc
Main campus, Lancaster,, United Kingdom
12 monthsProgram duration
32,760 GBPTuition Fee/year
2Scholarships
Accounting and FinanceMain Subject Area
Program overview
Main Subject
Accounting and Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges...
Read more
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.
If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.
You 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.
Through this programme, you will become proficient in the technical skills required to excel in financial technology areas while developing an inquisitive mindset that thrives on innovation and research. While at Lancaster, you will benefit from our sector-leading specialist Finance career coach.
During your master's programme, you will take six core modules, which are described in more detail in the course structure:
You will also choose two from the three following optional modules:
In the third term, you will work on your master's dissertation, which is an independent research project, with guidance from your academic supervisor. You will continue to work on your dissertation throughout the remainder of the summer and submit it in September at the end of the master's programme.
Careers
This master's programme will prepare you for diverse career paths across the global financial sector. You could pursue roles such as: quantitative analyst, data scientist, risk manager, quantitative trader, quantitative analyst, investment analyst, portfolio manager, quant developer, hedge fund manager, algorithmic trading strategist, financial engineer, fintech developer, machine learning engineer, quantitative researcher, model developer, model validation specialist, financial consultant, cryptocurrency analyst, ESG quantitative analyst, or high-frequency trading developer, among many others.
Alumni from the Department of Accounting and Finance work in prestigious organisations, including investment banks, hedge funds, asset management firms, proprietary trading firms, fintech companies, consulting firms, central banks, sovereign wealth funds, pension funds, research institutes, and financial regulatory bodies.
Many graduates also continue into PhD programmes or establish their own fintech ventures.
Read lessProgram overview
Main Subject
Accounting and Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges...
Read more
Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.
If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.
You 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.
Through this programme, you will become proficient in the technical skills required to excel in financial technology areas while developing an inquisitive mindset that thrives on innovation and research. While at Lancaster, you will benefit from our sector-leading specialist Finance career coach.
During your master's programme, you will take six core modules, which are described in more detail in the course structure:
You will also choose two from the three following optional modules:
In the third term, you will work on your master's dissertation, which is an independent research project, with guidance from your academic supervisor. You will continue to work on your dissertation throughout the remainder of the summer and submit it in September at the end of the master's programme.
Careers
This master's programme will prepare you for diverse career paths across the global financial sector. You could pursue roles such as: quantitative analyst, data scientist, risk manager, quantitative trader, quantitative analyst, investment analyst, portfolio manager, quant developer, hedge fund manager, algorithmic trading strategist, financial engineer, fintech developer, machine learning engineer, quantitative researcher, model developer, model validation specialist, financial consultant, cryptocurrency analyst, ESG quantitative analyst, or high-frequency trading developer, among many others.
Alumni from the Department of Accounting and Finance work in prestigious organisations, including investment banks, hedge funds, asset management firms, proprietary trading firms, fintech companies, consulting firms, central banks, sovereign wealth funds, pension funds, research institutes, and financial regulatory bodies.
Many graduates also continue into PhD programmes or establish their own fintech ventures.
Read lessAdmission Requirements
Tuition fees
Domestic Students
International Students
Scholarships
Management School Master's Scholarship - upto £8300
Value
$10500
Deadline
31 Jul 2025
Application requirements
QS Event attendance is required
Entry requirements
You must be admitted to this school to be awarded
Lancaster Global Scholarship - £5000
Value
$6000
Deadline
31 Jul 2025
Application requirements
QS Event attendance is required
Entry requirements
You must be admitted to this school to be awarded
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