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    Financial Mathematics with Data Science MSc
    Go to University of Bath
    University of Bath

    Financial Mathematics with Data Science MSc

    University of Bath

    University of Bath

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    United Kingdom, Bath

    University RankQS Ranking
    151

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    TDUMA-FM01

    Campuses

    University of Bath Claverton Down, Bath BA2 7AY

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines
    Apply to this program

    Go to the official application for the university

    Duration 4 year(s)

    Financial Mathematics with Data Science MSc

    About

    Standout to employers in the financial sector with a strong foundation in quantitative, mathematical and computational skills relevant to that industry.

    Finance is a dynamic industry, with innovation in quantitative methods driving fast-growing areas such as FinTech. Advances in machine learning and increased availability of data are allowing organisations to make better decisions and improve their products and services.

    Implementing these advances requires a new generation of graduates with a range of skills in quantitative, mathematical and data science fields.

    This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills sought after by employers in the financial industry. You'll gain a broad education in classical and contemporary mathematical finance and data science methods relevant to modern financial institutions. You’ll develop a practical and theoretical understanding of machine learning and other data science tools, and the software skills needed to successfully implement them.

    Who is this course for?

    This course is designed for graduates in highly numerate disciplines who are interested in a career in the financial industry and would like to develop their knowledge of this area. The course provides training in programming, machine learning, data science and financial mathematics.

    Course highlights

    • Benefit from a course developed with input from leading industry experts and ensure you’re up to date with the latest advances in modern finance.
    • Stand out when applying for jobs by gaining a strong foundation in both financial mathematics and data science.
    • Open up a wide range of careers within the financial industry.
    • Undertake an intensive research project in collaboration with academics, tackling a problem of importance to the financial industry.
    • Be part of our supportive postgraduate community.
    • Live and study in a beautiful world heritage city.

    Summer research project

    For your summer research project you will be supported to undertake an in-depth investigation into the application of mathematics or data science to a problem of importance in the financial industry.

    Career prospects

    On graduation, you'll have a broad range of skills and knowledge relevant to a career in traditional and modern financial sectors. From banking, insurance, investment and risk management, to leading areas of the modern financial industry such as FinTech, employers are seeking specialists with financial mathematics and data science skills. Our dedicated careers team offers individual guidance and can help you decide between employment and further study.

    Recent graduates from the department are in positions in a wide range of financial sectors including: foreign exchange trading, credit risk, fund management, insurance and actuarial consulting in companies ranging from start-up FinTech companies to multi-national, big-name banks and insurers.

    Find out more on maximising your employability while at Bath.

    Find out more about studying at Bath

    Requirements

    Entry Requirements

    Saudi Arabian qualifications

    You should have a Bachelor degree with a final overall result of at least 3.5 on a 5-point scale or 3.0 on a 4-point scale.

    To apply for this course, your undergraduate degree should be in a subject that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Computer programming experience would also be advantageous.

    We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

    We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

    English language requirements

    • IELTS: 6.5 overall with no less than 6.0 in all components
    • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
    • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

    You will need to get your English language qualification within 24 months prior to starting your course.

    If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

    English Program Requirements

    • IELTS: 6.5 overall with no less than 6.0 in all components
    • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
    • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

    You will need to get your English language qualification within 24 months prior to starting your course.

    If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

    Fee Information

    Fees and funding

    Fees and funding information for Financial Mathematics with Data Science MSc


    Fees

    Your tuition fees and how you pay them will depend on whether you are a Home or Overseas student.

    Learn how we decide fee status

    Extra costs

    If you receive an offer, you will need to pay a non-refundable deposit of £1,000 when you accept to secure your place. This will be deducted from your tuition fee when you register.

    IT requirements

    Computational work will be an integral part of the course. Therefore, you are strongly encouraged to get up to speed with Python before starting the MSc and to bring a laptop computer with the Windows, Mac or Linux operating system and an up-to-date Python installation.

    How to pay

    Tuition fee loans

    If you are studying a postgraduate course, you may be able to take out a loan for your tuition fees and living costs.

    Read more about tuition fee loans

    Other payment options

    You can pay your tuition fees by Direct Debit, debit card, credit card or bank transfer. You may also be eligible for a student loan to help you pay your fees.

    Read more about your payment options

    Budgeting

    You will need to budget at least £100 for the cost of photocopying, printing and binding. You will also need to budget for the cost of textbooks.

    Some courses involve visits away from campus and you may be required to pay some or all of the costs of travel, accommodation and food and drink.

    If you’re on a placement, you’re responsible for your own travel, accommodation and living costs. You should also consider the financial implications if you go on an unpaid or overseas placement.

    Tuition Fee

    GBP 0 

    Application Fee

    GBP  
    University of Bath

    Financial Mathematics with Data Science MSc

    University of Bath

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    United Kingdom,

    Bath

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