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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 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.
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 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.
Admission Requirements
87+
3.3+
58+
580+
6.5+
If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
1 Year
Oct
Tuition Fee
Domestic Students
16,270 GBP
-
International Students
32,760 GBP
-
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Financial Innovations, Technologies and Artificial Intelligence MSc
Main campus, Lancaster,, United Kingdom
12 monthsProgram duration
32,760 GBPTuition Fee/year
YesScholarships
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 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.
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 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.
Admission Requirements
Tuition Fee
Domestic Students
International Students
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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