Master of Science - Computer Science and Quantitative Methods - Mathematical Finance Logo

Master of Science - Computer Science and Quantitative Methods - Mathematical Finance

Austin Peay State University - Clarksville Campus

601 College Street, Clarksville, USA

291515

Last updated: 29/08/2024
Image for Austin Peay State University - Clarksville Campus
Image for Austin Peay State University - Clarksville Campus
Image for Austin Peay State University - Clarksville Campus
Image for Austin Peay State University - Clarksville Campus
Image for Austin Peay State University - Clarksville Campus
Austin Peay State University - Clarksville Campus Logo

About Master of Science - Computer Science and Quantitative Methods - Mathematical Finance

The Mathematical Finance program integrates mathematical, statistical, financial, computational and risk related techniques with professional skills to succeed in the financial world.

Students from diverse backgrounds such as economics, business, commerce, physics, marketing, mathematics, finance, accounting, statistics, actuarial science, computer science, electronics & electrical engineering, pharmacy, commerce, etc., have successfully completed their Mathematical Finance program and are currently working in industry or pursuing Ph.D. Many of the recent graduates are working in big financial firms, such as Intel, Goldman Sachs, Nasdaq, Amazon, Citibank etc.

Master of Science Computer Science and Quantitative Methods: Mathematical Finance Concentration is designed for students or working professionals with a bachelor’s degree to learn about various mathematical/statistical financial models, analyze investments and the associated risks facing all institutions. This program prepares students to pursue many different paths, such as, Financial Analyst, Data Scientist, Quantitative Analyst, Actuarial Scientist, Credit Data Analyst, Risk Analyst, Operation Research Analyst, Climate Change Policy Managers, Investment Fund Managers etc.

With the advent of Information technology, AI, and Big data, there has been an increase in the demand of applied mathematicians across a range of sectors. This huge demand in the market is due to the universal need for graduates with strong problem solving and logical thinking skills, and the ability to communicate complex ideas in a clear and unambiguous way. Students graduating from the Mathematical Finance program are provided the requisite knowledge to succeed in the current market. This is evident from the recent Mathematical Finance graduates who are currently working in world class leading financial, banking, actuarial science, and government institutions.
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Cost and Duration


Program Level
Master's Degree
Average Graduate Diploma
2 Year Master's Degree Including Internship
Cost of Living
$16,230.00 USD / Year
Gross Tuition
$13,212.00 USD / First Year
Application Fee
$55.00 USD

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