{"id":10,"date":"2018-12-20T10:36:14","date_gmt":"2018-12-20T15:36:14","guid":{"rendered":"http:\/\/quant.lsa.umich.edu\/?page_id=10"},"modified":"2025-05-28T13:29:24","modified_gmt":"2025-05-28T13:29:24","slug":"academics","status":"publish","type":"page","link":"https:\/\/sites.lsa.umich.edu\/quant\/academics\/","title":{"rendered":"Academics"},"content":{"rendered":"\n
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Academics<\/h2>\n<\/div><\/div>\n\n\n\n
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Key Objectives<\/h3><\/div><\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Building on the University of Michigan\u2019s long history of academic excellence, the Quant program approaches the study of quantitative finance with an intensely theoretical perspective. Our close focus on advanced mathematical and statistical theory sets us apart from our peer programs in financial engineering, computational finance, and mathematical finance and provides graduates with an unparalleled foundation for a career in finance.<\/p>\n\n\n\n

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Learning Goal 1: Apply advanced stochastic analysis and probability theory to solve complex mathematical and financial problems.<\/strong>
Assessment of goal: Performance in core and elective courses in probability, stochastic calculus, and financial mathematics, as well as on comprehensive exams that assess theoretical understanding and applied capabilities<\/em><\/p>\n\n\n\n

Learning Goal 2: Translate real-world financial questions into mathematical models and analyze them critically.
<\/strong>Assessment of goal: Assessment of students\u2019 ability to clearly formulate assumptions and represent financial problems mathematically<\/em><\/p>\n\n\n\n

Learning Goal 3: Implement quantitative solutions using advanced computational and numerical methods.
<\/strong>Assessment of goal: Evaluation of programming assignments and computational projects using tools such as Python<\/em><\/p>\n\n\n\n

Learning Goal 4: Make informed, data-driven decisions grounded in mathematical reasonings.
<\/strong>Assessment of goal: Coursework that include a decision-making rationale grounded in quantitative results, as well as internship or practicum supervisor evaluations, if applicable<\/em><\/p>\n<\/div><\/div>\n\n\n\n

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Course Plan<\/h3>\n\n\n\n

The Quant program requires the completion of 36 credits, comprising credits from core courses and electives. The curriculum is structured around core courses, which are spread across 4 semesters. Students must adhere to the prescribed course sequence for their cohort, as outlined below.<\/p>\n\n\n\n

While students have the flexibility to complete the program in 3 semesters by taking all approved electives during that time, the core courses must be taken in their scheduled semesters. A total of 36 credits must be completed to graduate. Per the Quant Program Core Course Policy<\/a>, deviating from this schedule and deferring core courses to other semesters will result in being dropped from those courses. Adhering to the core course sequence is essential for building a strong foundation and meeting the program’s learning objectives. <\/p>\n\n\n\n

2-Year \/ 4-Semester Program<\/h4>\n\n\n\n
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First Semester: Fall<\/strong> I<\/h2>\n\n\n\n

12 credits (full-time)<\/strong><\/p>\n\n\n\n

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