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University of Birmingham: Financial Data Science
| Institution | University of Birmingham View institution profile |
|---|---|
| Department | School of Mathematics |
| Web | https://www.birmingham.ac.uk |
| Study type | Taught |
Summary
In an era defined by data, proficiency in statistics and data science is indispensable. Our programme empowers you with advanced statistical techniques and machine learning algorithms tailored specifically for the financial services industry. Through hands-on projects and real-world applications, you will gain practical experience in harnessing data to drive informed financial decisions.
The core modules cover essential topics including statistical inference, deep learning, time series analysis, and algorithmic trading. These modules equip you with the foundational knowledge and practical skills needed to analyse financial data effectively and make informed decisions in a dynamic market environment.
In addition to the core modules, you have the opportunity to tailor your learning experience by choosing from a range of optional modules. These modules explore advanced topics such as financial mathematics, statistical modelling, machine learning, computational statistics, and stochastic processes, allowing you to specialise in areas of particular interest.
Throughout the programme, you engage in hands-on learning experiences, including practical projects and case studies that apply theoretical concepts to real-world financial datasets. You also benefit from guest lectures and seminars delivered by industry experts, providing valuable insights into current trends and practices in the financial industry.
Overall, our MSc Financial Data Science programme offers a comprehensive and interdisciplinary approach to financial education, preparing you for a wide range of careers in finance, data analysis, and financial technology. With a focus on practical skills, industry engagement, and experiential learning, our programme equips you with the tools and expertise needed to succeed in today's competitive job market.
Why study Financial Data Science Masters at Birmingham? - We offer a unique opportunity to master the tools needed to navigate the complexities of modern finance by combining expertise in finance, mathematics, statistics, and data science
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Through hands-on learning and collaboration with industry experts, you gain practical skills and insights essential for success in investment banking, asset management, and financial technology.
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You benefit from guest lectures and seminars delivered by industry and/or subject experts, providing valuable insights into current trends and practices in the financial industry.
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We commit to fostering a collaborative learning environment. Through group projects, seminars, and networking events, you engage with peers and industry professionals, building valuable connections and honing your teamwork and communication skills.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 Honours degree in Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components. This programme is aimed at students who have previously completed an undergraduate degree with significant mathematical or statistical content and who wish to pursue postgraduate studies to a master level. |
| Location | Main Site Academic and Student Division Birmingham B15 2TT |
Fees
| England | 10530 GBP for Year 1 |
|---|---|
| Northern Ireland | 10530 GBP for Year 1 |
| Scotland | 10530 GBP for Year 1 |
| Wales | 10530 GBP for Year 1 |
| International | 27270 GBP for Year 1 |
The University of Birmingham is a truly vibrant, global community of staff, students and researchers. As a founding Russell Group member and consistent top 100 university, Birmingham is recognised internationally for excellence in teaching and research and provides the best possible teaching, research facilities and support services to ensure postgraduates reach the peak of their potential.
With over 600 taught programmes and a wealth of research opportunities to choose from, Birmingham has one of the most extensive postgraduate course portfolios in the UK enabling you to work and study alongside world-leading academics in a diverse, multicultural community of over 14,000 …
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