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King's College London offers an MSc in Computational Finance through its highly reputed King's Business School. The one-year intensive course gives students a thorough understanding of financial markets, quantitative methods, and computational techniques, blending finance theory with data science application and programming. The course trains students to model and analyze complex financial systems using the newest technology and algorithms.
Curriculum Structure:
Foundation core quantitative finance subjects covering stochastic processes, financial derivatives, and risk management.
Advanced computing modules covering programming languages like Python, R, and C++, which are central to quantitative analysis.
Practical financial econometrics and machine learning modules that cover some of the current tools in data science applied to finance.
A final Research Project or Dissertation in which students bring together their learning to apply it to actual financial problems.
Accreditation:
King's Business School is triple accredited—AACSB, EQUIS, and AMBA—which indicates the international standing of the program and its high academic quality. This prestigious status is a mark of excellence in finance and business education.
Campus Location:
The programme is delivered on King's iconic Strand Campus, in the heart of London's financial centre. The superb location offers students unparalleled access to key financial institutions, with unlimited opportunities for networking, internships, and exposure to global financial markets.
Industry Speaker Events featuring senior practitioners from banking, asset management, and fintech sectors.
Group Projects and Case Studies that encourage teamwork and allow students to apply theories to realistic financial problems.
Workshops and Tutorials that allow learning through discussion in small groups and one-to-one tuition.
Access to research centers in financial regulation and computational finance, encouraging engagement with cutting-edge studies.
Competitive scholarships for high performers providing substantial tuition fee discounts.
One-to-one career counselling and planning meetings.
CV writing, interview skills, and job application strategy workshops.
On-campus recruitment events and careers fairs to meet top employers.
Employability:
Graduates of this MSc are in high demand across the financial sector. Many pursue careers as quantitative analysts, risk managers, financial engineers, and data scientists at top banks, hedge funds, and fintech companies worldwide. Others pursue academia or research roles, leveraging their strong computational and analytical skills.
Further Academic Progression:
It is feasible for interested individuals to pursue further study, such as PhDs in financial mathematics or quantitative finance, or specialist Master's degrees in Financial Engineering or Machine Learning in Finance, with the support of King's strong research networks.
IELTS - 7.0 overall with a minimum of 6.5 in each skillTOEFL - 100 overall with a minimum of 25 in writing and 23 in each of the other skills. All TOEFL test results must be provided via King’s Apply. This program is delivered by King’s Business School, a leading center known for its interdisciplinary approach that blends quantitative finance, data science, and computingThe program also incorporates the latest developments in machine learning and artificial intelligence applied to finance, equipping students to handle cutting-edge financial technologies.Additionally, King's College London provides access to extensive financial databases and software tools such as Bloomberg terminals and Matlab, which enhance the hands-on learning experience and ensure students are well-prepared for real-world challenges in computational finance.The course encourages a global outlook, with a diverse student body and faculty, fostering cross-cultural collaboration essential for careers in international finance markets.Quantitative AnalystRisk ManagerFinancial EngineerPortfolio ManagerData ScientistAlgorithmic TraderCredit AnalystDerivatives AnalystInvestment AnalystFinancial ConsultantCompliance AnalystResearch Analyst
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Kings College London
