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Master the power of data to transform banking and finance with this conversion degree. Gain the skills to analyse complex financial systems and make confident, data-driven decisions in a rapidly evolving global industry. The finance sector has always relied on data, but today’s markets generate more information than ever before.
Businesses increasingly need efficient ways to collect, analyse and transform data into insights that drive better decisions.
By utilising advanced data science methods and computational power, you'll learn to:
make smarter predictions
forecast market trends
manage risk more effectively
The Data Science and Finance MSc at Newcastle University is a conversion programme. We have designed it to equip you with the skills to turn large, complex datasets into actionable insights. You’ll graduate with the ability to maximise opportunities and navigate the financial world with confidence.
You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.
You’ll then take a deep dive into banking and finance topics. By combining your data analysis and programming skills with advanced banking and finance knowledge, you’ll be able to:
analyse bank operations, including individual and systemic risks, and manage financial portfolios
identify financial risks, including climate-related challenges, and propose quantitative solutions
understand regulatory frameworks for financial institutions and assets, and suggest compliance measures
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and learning by experience.
You’ll also be taught by leading researchers from the Finance Subject Group, who are at the forefront of banking and finance and helping to shape the future of the field. The Finance Subject Group are part of Newcastle University Business School, which is among the top 1% of international business schools, holding triple-crown accreditation from AACSB, AMBA, and EQUIS.
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Master the power of data to transform banking and finance with this conversion degree. Gain the skills to analyse complex financial systems and make confident, data-driven decisions in a rapidly evolving global industry. The finance sector has always relied on data, but today’s markets generate more information than ever before.
Businesses increasingly need efficient ways to collect, analyse and transform data into insights that drive better decisions.
By utilising advanced data science methods and computational power, you'll learn to:
make smarter predictions
forecast market trends
manage risk more effectively
The Data Science and Finance MSc at Newcastle University is a conversion programme. We have designed it to equip you with the skills to turn large, complex datasets into actionable insights. You’ll graduate with the ability to maximise opportunities and navigate the financial world with confidence.
You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.
You’ll then take a deep dive into banking and finance topics. By combining your data analysis and programming skills with advanced banking and finance knowledge, you’ll be able to:
analyse bank operations, including individual and systemic risks, and manage financial portfolios
identify financial risks, including climate-related challenges, and propose quantitative solutions
understand regulatory frameworks for financial institutions and assets, and suggest compliance measures
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and learning by experience.
You’ll also be taught by leading researchers from the Finance Subject Group, who are at the forefront of banking and finance and helping to shape the future of the field. The Finance Subject Group are part of Newcastle University Business School, which is among the top 1% of international business schools, holding triple-crown accreditation from AACSB, AMBA, and EQUIS.
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
GCSE Mathematics grade 6 in Mathematics (or equivalent)
Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
12 Months
Sep
Tuition fees
Domestic
14,500 GBP
International
31,700 GBP
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Data Science and Finance MSc
Newcastle University, Newcastle upon Tyne, United Kingdom
12 monthsProgramme duration
31,700 GBPTuition Fee/year
1Scholarships
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The finance sector has always relied on data, but today’s markets generate more information than ever before.
Businesses increasingly need efficient ways to collect, analyse and transform data into insights that drive better decisions.
By utilising advanced data science methods and computational power, you'll learn to:
The Data Science and Finance MSc at Newcastle University is a conversion programme. We have designed it to equip you with the skills to turn large, complex datasets into actionable insights. You’ll graduate with the ability to maximise opportunities and navigate the financial world with confidence.
You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.
You’ll then take a deep dive into banking and finance topics. By combining your data analysis and programming skills with advanced banking and finance knowledge, you’ll be able to:
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and learning by experience.
You’ll also be taught by leading researchers from the Finance Subject Group, who are at the forefront of banking and finance and helping to shape the future of the field. The Finance Subject Group are part of Newcastle University Business School, which is among the top 1% of international business schools, holding triple-crown accreditation from AACSB, AMBA, and EQUIS.
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The finance sector has always relied on data, but today’s markets generate more information than ever before.
Businesses increasingly need efficient ways to collect, analyse and transform data into insights that drive better decisions.
By utilising advanced data science methods and computational power, you'll learn to:
The Data Science and Finance MSc at Newcastle University is a conversion programme. We have designed it to equip you with the skills to turn large, complex datasets into actionable insights. You’ll graduate with the ability to maximise opportunities and navigate the financial world with confidence.
You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.
You’ll then take a deep dive into banking and finance topics. By combining your data analysis and programming skills with advanced banking and finance knowledge, you’ll be able to:
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and learning by experience.
You’ll also be taught by leading researchers from the Finance Subject Group, who are at the forefront of banking and finance and helping to shape the future of the field. The Finance Subject Group are part of Newcastle University Business School, which is among the top 1% of international business schools, holding triple-crown accreditation from AACSB, AMBA, and EQUIS.
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Admission Requirements
GCSE Mathematics grade 6 in Mathematics (or equivalent)
Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
Tuition fees
Domestic
International
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Value
$13518
Deadline
30 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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Translational Medicine and Therapeutics MRes
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Transplantation MRes
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Cross-Cultural Communication and Applied Linguistics MA
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Sociology MA
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TESOL and Intercultural Communication MA
World Politics and Popular Culture MA
World Politics and Popular Culture MA
Full-Time MBA (1)
Master of Business Administration MBA
Master of Business Administration MBA
Arts and Humanities (6)
Applied Linguistics MPhil, PhD
Applied Linguistics MPhil, PhD
Archaeology MPhil, PhD
Archaeology MPhil, PhD
Architecture, Planning and Landscape MPhil, PhD
Architecture, Planning and Landscape MPhil, PhD
Classics and Ancient History MPhil, PhD
Classics and Ancient History MPhil, PhD
Creative Writing MPhil, PhD
Creative Writing MPhil, PhD
English Literature MPhil, PhD
English Literature MPhil, PhD
Film Practice PhD
Fine Art MPhil, PhD
History MPhil; PhD
Linguistics MPhil, PhD
Linguistics and English Language Integrated PhD
Modern Languages MPhil, PhD
Museum, Gallery and Heritage Studies MPhil, PhD
Music MPhil, PhD
Philosophy MPhil, PhD
Rural Studies MPhil, PhD
Translation and Interpreting MPhil, PhD
Business and Management (6)
Accounting and Finance PhD
Accounting and Finance PhD
Business and Management PhD
Business and Management PhD
Economics PhD
Economics PhD
Marketing PhD
Marketing PhD
Engineering and Technology (6)
Chemical Engineering MPhil, PhD
Chemical Engineering MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Computer Science Integrated PhD
Computer Science MPhil, PhD
Electrical and Electronic Engineering PhD
Energy MPhil, PhD
Geospatial Engineering MPhil, PhD
Materials Engineering MPhil, PhD
Mechanical and Systems Engineering MPhil, PhD
Nanoscale Science and Technology MPhil, PhD
Life Sciences and Medicine (6)
Ageing MPhil, PhD, MD
Ageing MPhil, PhD, MD
Agriculture MPhil, PhD
Agriculture MPhil, PhD
Animal Science MPhil, PhD
Animal Science MPhil, PhD
Applied Educational Psychology Doctorate (DAppEdPsy)
Applied Educational Psychology Doctorate (DAppEdPsy)
Biology MPhil, PhD
Biology MPhil, PhD
Biomedicine MPhil, PhD, MD
Biomedicine MPhil, PhD, MD
Biosciences MPhil, PhD, MD
Biotechnology (Biological, Agricultural and Environmental Sciences) MPhil, PhD
Biotechnology (Marine Sciences) MPhil, PhD
Biotechnology (Medical Sciences) MPhil, PhD
Cancer MPhil, PhD, MD
Clinical Psychology (DClinPsych)
Clinical and Medical Sciences Education PhD
Dentistry and Dental Sciences MPhil, PhD
Genetics MPhil; PhD; MD
Marine Sciences MPhil, PhD
Medicine and Surgery MPhil, PhD, MD
Microbiology (Biological Sciences) MPhil, PhD
Microbiology (Medical Sciences) MPhil, PhD, MD
Neuroscience MPhil, PhD, MD
Nutrition, Food and Human Health MPhil, PhD
Pharmacy MPhil, PhD
Psychology MPhil, PhD
Natural Sciences (6)
Chemistry MPhil, PhD
Chemistry MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Food and Society MPhil, PhD
Food and Society MPhil, PhD
Geography PhD
Geography PhD
Geosciences MPhil, PhD
Geosciences MPhil, PhD
Marine Technology MPhil, PhD
Marine Technology MPhil, PhD
Mathematics MPhil, PhD
Physics MPhil, PhD
Social Sciences and Management (6)
Biomedical, Nutritional and Sport Sciences PhD
Biomedical, Nutritional and Sport Sciences PhD
Digital Media PhD
Digital Media PhD
Education Doctor of (EdD)
Education Doctor of (EdD)
Education MPhil, PhD
Education MPhil, PhD
Film Studies MPhil, PhD
Film Studies MPhil, PhD
Journalism and Public Relations PhD
Journalism and Public Relations PhD
Law LLM (by research), MPhil, PhD
Media and Cultural Studies MPhil, PhD
Phonetics and Phonology Integrated PhD
Politics PhD
Public Health, Epidemiology and Health Services Research MPhil, PhD, MD
Sociology PhD
Speech and Language Sciences MPhil, PhD
Statistics MPhil, PhD