List of 65 courses not offered by the MAFN program and taken as electives by the MAFN students in the last two years:
(Phd) Foundations Of Optimization: DROMB9118
(Phd) Foundations Of Stochastic Modeling: DROMB9119
Accounting For Value: ACCTB8022
Adv Analytic Techniques: QMSSG5018
Advanced Corporate Finance: FINCB8307
Advanced Data Analysis: STATW4291
Advanced Machine Learning: STATW5242
Advanced Software Engineering: COMSW4156
Algorithms For Data Science: CSORW4246
Analysis & Probability: MATHG6151
Analysis Of Algorithms: CSORW4231
Applied Data Science: STATW4243
Applied Deep Learning: COMSW4995
Applied Financial Risk Management: IEORE4745
Applied Machine Learning: COMSW4995
Artificial Intelligence: COMSW4701
Asset Management: FINCB7323
Bayesian Statistics: STATW4224
Computer Networks: CSEEW4119
Cost-Benefit Analysis: INAFU6016
Decision Models & Managem: PUAFU6033
Deep Learning: COMSW4995
Defining/Dev Winning Strategies: MRKTB8625
Earnings Quality & Fundam: ACCTB8008
Elementary Stochastic Proceses: STATW5207
Elements Data Sci First C: COMSW4995
Empirical Corporate Finance: FINCB9329
Entrepreneurial Business Creation: IEORE4550
Fin Tech & Data Driven In: STATG5293
Foundations Of Operations: DROMB9150
Functions Of A Complex Variable APMAE4204
Game Theory: ECONW4415
Honors Complex Variables :MATHW4065
Intro Modern Analysis: MATHW4061
Intro Modern Analysis II: MATHW4062
Intro To Blockchain Tech: ELENE6883
Intro-Probability & Stati: IEORE4150
Introduction To Data Science: STATW5206
Introduction To Databases: COMSW4111
Linear Regression Models: STATW4205
Machine Learning: COMSW4771
Machine Learning Soc Sci: QMSSG5073
Machine Learning& High – Dimensional Da: IEORE6617
Multivariate Stat Inference: STATW4223
Natural Lang Proc Soc Sci: QMSSG5067
Natural Language Processes: COMSW4705
Neural Networks & Deep Learning: ECBME4040
Optimization I: IEORE6613
Optimization Models And Methods: IEORE4004
Partial Differential Equations: APMAE4200
Pricing Models For Financial Engineering: IEORE4620
Probability II: MATHG6153
Probability Theory: STATW4203
Programming Lang & Translators: COMSW4115
Public Economics: ECONW4465
Quantitative Corporate Finance: IEORE4403
Simulation: IEORE4404
Social Network Analysis: QMSSG5062
Stat Inf/Time-Series Mode: STATG4263
Statistical Machine Learn: STATW5241
Statistical Methods In Fi: STATW4261
Statistical Methods In Fi: STATW5261
Structured&Hybrid Product: IEORE4735
Topology: MATHW4051
SPRING 2021
In the Spring 2021 semester, we had 62 registered students, of which 55 were full-time second semester students and 7 were part-time students. The students took on average 1.48 of approved electives courses each, to a total of 23 electives. Here is the distribution across departments and schools:
The 97 electives were made up of 18 different courses – approved elective courses that count towards the degree. In addition, a few students took courses that do not count toward the degree, such as language courses or undergraduate programming courses.
Here is a list of all electives with 2 or more MAFN students enrolled:
Note: There is never any guarantee that these particular courses will be offered in the future. There is no guarantee that any particular student will be able to secure a seat in any of these courses.
To look up courses when they become available; Refer to Directory of Classes, Vergil, CourseWorks
Fall 2020
In the Fall of 2020, we had 161 registered students, of which 52 were full-time first-semester students, 99 were full-time third-semester students, and 10 were part-time students. The students took on average two of approved electives courses each, to a total of 510 electives. Here is the distribution across departments and schools:
The category “Mathematics” includes finance electives offered by the MAFN program.
The 355different courses electives were made up of 40 different courses – approved elective courses that count towards the degree. In addition, a few students took courses that do not count toward the degree, such as language courses or undergraduate programming courses.
Here is a list of all electives with 3 or more MAFN students enrolled.
Note: There is never any guarantee that these particular courses will be offered in the future. There is no guarantee that any particular student will be able to secure a seat in any of these courses.
To look up courses when they become available; Refer to Directory of Classes, Vergil, CourseWorks
Spring 2020
In the Spring 2020, we had 114 registered students, of which 106 were full-time second semester students and 8 were part-time students. The students took on average 1.42 of approved electives courses each, to a total of 21 electives. Here is the distribution across departments and schools:
The 162 electives were made up of 21 different courses – approved elective courses that count towards the degree. In addition, a few students took courses that do not count toward the degree, such as language courses or undergraduate programming courses.
Here is a list of all electives with 3 or more MAFN students enrolled.
Note: There is never any guarantee that these particular courses will be offered in the future. There is no guarantee that any particular student will be able to secure a seat in any of these courses.
To look up courses when they become available; Refer to Directory of Classes, Vergil, CourseWorks
Fall 2019
In the Fall of 2019, we had 203 registered students, of which 107 were full-time first-semester students, 85 were full-time third-semester students, and 11 were part-time students.
The students took on average 1.8 of approved electives courses each, to a total of 372 electives. Here is the distribution across departments and schools:
The category “Mathematics” includes finance electives offered by the MAFN program.
The 372 electives were made up of 56 different courses – approved elective courses that count towards the degree. In addition, a few students took courses that do not count toward the degree, such as language courses or undergraduate programming courses.
Here is a list of all electives with 3 or more MAFN students enrolled.
Note: There is never any guarantee that these particular courses will be offered in the future. There is no guarantee that any particular student will be able to secure a seat in any of these courses.
To look up courses, refer to Directory of Classes, Vergil, CourseWorks
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