Quantitative Skills
Anyone who is serious about going to graduate school for an advanced degree applicable to Quantitative Finance (Ph.D. Finance, MFE, MS Quantitative Finance, Ph.D. Mathematics, etc.) will need a solid background in mathematics and statistics
A good way to figure out what path to take is to look at jobs that interest you and the qualifications these employers are looking for.
As always a good place to look for advice is at https://www.quantstart.com/articles.
Please read this if you are thinking about pursuing an MFE
Depending on the school, a Ph.D. in Finance will provide a student with the necessary quantitative skills required for Quantitative Finance.
Be careful about changing your major! Depending on the major you change to, you may find it difficult to get a job with just your undergraduate degree.
To determine which classes to take, find the prerequisites for a graduate program you are interested in. For example, most graduate programs in Quantitative Finance require applicants to have completed
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Calculus I, II, III
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Linear Algebra
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Differential Equations
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Calculus-based Probability
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Statistics
Many programs also require Real Analysis or Advanced Calculus
For anyone unable to take the above courses, the next alternative is to study these courses on your own and upload your notes to a personal website to show employers or admission counselors.
The links below contain lists of courses that could prove useful for Quantitative Finance. Keep in mind some of the courses on these lists are usually not required by graduate programs for Quantitative Finance. Each course will have the equivalent Texas A&M course code next to it, and a link to the textbook used for that course as of Fall 2018. Textbooks by different authors may be better than the textbooks listed. The TAMU library has copies of most textbooks used by courses
In Progress