Stanford University - Mathematical and computational finance

Masters Degree
Published

February 7, 2024

https://mcf.stanford.edu/

Key takeaways

  • 2 year program
  • tuition fee $120,000 in total, 6 quarters
  • rigorous course works concentrated in computation and financial engineering
  • bridge to PhD

Program

PROGRAM TYPE ENTRY QUARTER APPLICATION DEADLINE DECISION DATE
PhD* All Applicants Autumn Quarter 2024-25 November 30th, 2023 End of February 2024
MS* All Applicants Autumn Quarter 2024-25 January 31st, 2024 End of March 2024

admission only in autumn quarter each year

PhD program also provided

  • Applications are for autumn quarter admissions only
  • Applicants must apply to a specific track (for example, “computational geosciences”) in the application under the academic interest field; the application is only considered for that specific track
  • Application can be submitted to one track only (it is Stanford policy that an applicant can submit one application only for admission to a particular term)
  • All tracks are designed to be completed in two years
  • C.V. is strongly recommended

Fees

Total Units Quarterly Tuition
8-10 units $13,040
11-18 units $20,058
each Graduate Engineering unit above 18 $1,337 per unit
1-7 units (Summer only) $1,304 per unit

Prerequisites/requirements

  • transcripts
  • GRE - for Fall 2023, not required
  • TOEFL
    • Scores must be submitted from a test taken within the last 18 months of the application deadline.

Statement of Purpose

Your Statement of Purpose should identify your personal and professional goals. You should also discuss your development to date and your intentions relative to graduate study and life beyond Stanford. The ICME Graduate Admissions Committee reads your statement of purpose with interest because, along with the letters of recommendation, it offers insight into who you are as an individual. Your statement of purpose should not exceed 10MB in either a PDF or Word file.

Letters of Recommendation

Three letters of recommendation are required; at least one letter must come from an academic source, however we recommend two. Please have your recommender write candidly about your qualifications, potential to carry on advanced study in the field specified, intellectual independence, capacity for analytical thinking, ability to organize and express ideas clearly, and potential for teaching. Specific examples–that describe such attributes as motivation, intellect, and maturity–are more useful than generalizations.

  • Recommendation letters can be submitted up to one week after the application deadline.

Curriculum

Students must take 45 units in the following areas:

  • Foundational (9 units)
  • Programming (9 units)
  • Finance electives (9 units)
  • Data Science electives (12 units)
  • Practical component (6 units)

Suggested Specializations

  • Financial Mathematics
  • Financial Data Science
  • Financial Technology
  • Financial Markets
  • PhD prep
CODE NAME
https://bulletin.stanford.edu/courses/2196651 How to learn Mathematics - New ideas from the science of learning
https://bulletin.stanford.edu/courses/2023541 Vector Calculus for Engineers
https://bulletin.stanford.edu/courses/2256201 Vector Calculus for Engineers, ACE
https://bulletin.stanford.edu/courses/1043151 Ordinary Differential Equations for Engineers
https://bulletin.stanford.edu/courses/2256911 Ordinary Differential Equations for Engineers, ACE
https://bulletin.stanford.edu/courses/1043162 Linear Algebra and Partial Differential Equations for Engineers
https://bulletin.stanford.edu/courses/2016572 Introduction to Probability and Statistics for Engineers
https://bulletin.stanford.edu/courses/2256921 Introduction to Probability and Statistics for Engineers
https://bulletin.stanford.edu/courses/2195782 Introduction to Machine Learning
https://bulletin.stanford.edu/courses/1056641 Introduction to Scientific Computing
https://bulletin.stanford.edu/courses/2226472 Mathematical Population Biology
https://bulletin.stanford.edu/courses/2140171 Introduction to MATLAB
https://bulletin.stanford.edu/courses/2140581 Introduction to Scientific Python
https://bulletin.stanford.edu/courses/2222851 Human-Centered Design Methods in Data Science
https://bulletin.stanford.edu/courses/1048651 Linear Algebra with Application to Engineering Computations
https://bulletin.stanford.edu/courses/1048663 Partial Differential Equations in Engineering
https://bulletin.stanford.edu/courses/1048671 Introduction to Numerical Methods for Engineering
https://bulletin.stanford.edu/courses/2226321 Mathematical Modeling of Biological Systems
https://bulletin.stanford.edu/courses/2068101 Software Development for Scientists and Engineers
https://bulletin.stanford.edu/courses/2120661 Introduction to parallel computing using MPI, openMP, and CUDA
https://bulletin.stanford.edu/courses/2206512 Machine Learning for Computational Engineering.
https://bulletin.stanford.edu/courses/2226441 Analytics Accelerator
https://bulletin.stanford.edu/courses/2234861 Analytics Accelerator Seminar
https://bulletin.stanford.edu/courses/2255431 Applied Data Science
https://bulletin.stanford.edu/courses/2257921 Applications of machine learning to electronic markets
https://bulletin.stanford.edu/courses/2207331 Foundations of Reinforcement Learning with Applications in Finance
https://bulletin.stanford.edu/courses/2109902 Risk Analytics and Management in Finance and Insurance
https://bulletin.stanford.edu/courses/2164442 Introduction to Machine Learning
https://bulletin.stanford.edu/courses/2216121 Introduction to Quantum Computing and Quantum Algorithms
https://bulletin.stanford.edu/courses/2170092 Geometric and Topological Data Analysis
https://bulletin.stanford.edu/courses/2175151 Advanced Topics in Scientific Computing with Julia
https://bulletin.stanford.edu/courses/2084232 Imaging with Incomplete Information
https://bulletin.stanford.edu/courses/1038992 Introduction to Linear Dynamical Systems
https://bulletin.stanford.edu/courses/2237241 Advances in Computing with Uncertainties
https://bulletin.stanford.edu/courses/2159422 Computational Biology: Structure and Organization of Biomolecules and Cells
https://bulletin.stanford.edu/courses/2179551 Computational Modeling in the Cardiovascular System
https://bulletin.stanford.edu/courses/2042921 Master’s Research
https://bulletin.stanford.edu/courses/2146711 Advanced MATLAB for Scientific Computing
https://bulletin.stanford.edu/courses/2246981 Computational Symbolic Mathematics
https://bulletin.stanford.edu/courses/2170262 Probability and Stochastic Differential Equations for Applications
https://bulletin.stanford.edu/courses/2058061 First Year Seminar Series
https://bulletin.stanford.edu/courses/2240811 ICME QUALIFYING EXAMS WORKSHOP
https://bulletin.stanford.edu/courses/1057521 Numerical Linear Algebra
https://bulletin.stanford.edu/courses/1173932 Partial Differential Equations of Applied Mathematics
https://bulletin.stanford.edu/courses/2042901 Discrete Mathematics and Algorithms
https://bulletin.stanford.edu/courses/1174062 Computational Methods of Applied Mathematics
https://bulletin.stanford.edu/courses/1045842 Optimization
https://bulletin.stanford.edu/courses/2102132 Stochastic Methods in Engineering
https://bulletin.stanford.edu/courses/2145632 Randomized Algorithms and Probabilistic Analysis
https://bulletin.stanford.edu/courses/1050963 Spectral Methods in Computational Physics
https://bulletin.stanford.edu/courses/2163301 Distributed Algorithms and Optimization
https://bulletin.stanford.edu/courses/1033832 Applied Mathematics in the Chemical and Biological Sciences
https://bulletin.stanford.edu/courses/1045852 Optimization Algorithms
https://bulletin.stanford.edu/courses/2119271 Model Reduction
https://bulletin.stanford.edu/courses/2241381 The ABCs of TQC: An introduction to the mathematics of Topological Quantum Computing
https://bulletin.stanford.edu/courses/2066522 Convex Optimization I
https://bulletin.stanford.edu/courses/2066542 Convex Optimization II
https://bulletin.stanford.edu/courses/1050292 Computational Methods in Fluid Mechanics
https://bulletin.stanford.edu/courses/2151482 Computational Biology in Four Dimensions
https://bulletin.stanford.edu/courses/2151422 Applied Fourier Analysis and Elements of Modern Signal Processing
https://bulletin.stanford.edu/courses/2050411 Curricular Practical Training
https://bulletin.stanford.edu/courses/2248971 Ph.D. Research Rotation
https://bulletin.stanford.edu/courses/2128641 Special Research Topics in Computational and Mathematical Engineering
https://bulletin.stanford.edu/courses/2042941 Ph.D. Research
https://bulletin.stanford.edu/courses/2058211 Computational Consulting
https://bulletin.stanford.edu/courses/2042871 Departmental Seminar
https://bulletin.stanford.edu/courses/2075411 Linear Algebra and Optimization Seminar
https://bulletin.stanford.edu/courses/2050421 TGR Project
https://bulletin.stanford.edu/courses/2050431 TGR Dissertation
https://bulletin.stanford.edu/courses/2249122 WiDS Datathon Independent Study

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