Master of Quantitative Finance Postgraduate Programme By Rady School of Management, UC San Diego |TopUniversities
Programme Duration

12 monthsProgramme duration

Application Deadline

15 Apr, 2025Application Deadline

Main Subject Area

FinanceMain Subject Area

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Rady Master of Quantitative Finance prepares you to analyze the large — and often multiple — real-time data sets that drive financial decision-making and risk management. Many of the empirical methods you’ll use have emerged from UC San Diego’s own world-renowned econometrics research. This emphasis on empirical data-driven methods sets the Rady degree apart from other finance master programs.

You’ll graduate technically proficient and ready to be a sought-after colleague, collaborator and incisive decision-maker.

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Rady Master of Quantitative Finance prepares you to analyze the large — and often multiple — real-time data sets that drive financial decision-making and risk management. Many of the empirical methods you’ll use have emerged from UC San Diego’s own world-renowned econometrics research. This emphasis on empirical data-driven methods sets the Rady degree apart from other finance master programs.

You’ll graduate technically proficient and ready to be a sought-after colleague, collaborator and incisive decision-maker.

Admission Requirements

65+
7+
While most applicants have undergraduate degrees in finance, economics, engineering, computer science, mathematics, physics, or statistics, other majors will also be considered. Post-university work, internships, or research experience in a quantitative discipline is also considered.
Candidates are required to submit an official GMAT or GRE score. A free GMAT Mini-Quiz is available for you to get a feel for the examination.
A strong quantitative background is required, as evidenced by a high quantitative score on the GRE or GMAT.
Experience with statistical applications and programming is favorably considered (Examples: Python, SAS, STATA, MatLab, R, S-Plus). If you are new to Python we recommend you also complete a course on programming in Python from Data Camp or Coursera. 

15 Apr 2025
1 Year
Sep

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