This course equips students with the essential statistical and econometric tools required for modern financial analysis. This course is intended for students with at least a semester of introductory statistics under their belt. Starting with a review of probability theory, the curriculum progresses through simple and multiple linear regressions, model assumptions, and stationary time-series analysis (AR, MA, ARMA). Students will apply these concepts to real-world financial datasets using R/RStudio, while integrating generative AI tools to enhance data processing, code efficiency, and results interpretation. Emphasis is placed on developing the professional judgment necessary to critically audit AI-assisted outputs and maintain analytical rigor in financial industry research. MSF students only.
Sections offered by academic year and season, with estimated offering chances for future years above the divider
Year
Fall
Spring
Summer
Intersession
2030
49%2030 Fall: 49% chance, medium confidence. Offered in 8 of 9 fall terms since 2018. Department course count falling about 2% per year. Department faculty is about 21% below its recent average.
39%2030 Spring: 39% chance, medium confidence. Offered in 6 of 9 spring terms since 2018. Department course count falling about 5% per year.
7%2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018.
8%2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029
55%2029 Fall: 55% chance, medium confidence. Offered in 8 of 10 fall terms since 2017. Department faculty is about 20% below its recent average.
41%2029 Spring: 41% chance, medium confidence. Offered in 6 of 10 spring terms since 2017. Department course count falling about 3% per year.
6%2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017.
7%2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028
57%2028 Fall: 57% chance, medium confidence. Offered in 8 of 11 fall terms since 2016. Department faculty is about 22% below its recent average.
47%2028 Spring: 47% chance, medium confidence. Offered in 6 of 11 spring terms since 2016.
5%2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016.
7%2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027
58%2027 Fall: 58% chance, medium confidence. Offered in 8 of 12 fall terms since 2015. Department faculty is about 21% below its recent average.
54%2027 Spring: 54% chance, medium confidence. Offered in 6 of 12 spring terms since 2015. Department course count rising about 4% per year.
5%2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015.
6%2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2026
11 section
Not offered
Not offered
n/aNo data for this term
2025
11 section
11 section
Not offered
Not offered
2024
11 section
11 section
Not offered
Not offered
2023
11 section
11 section
Not offered
Not offered
2022
22 sections
11 section
Not offered
Not offered
2021
22 sections
11 section
Not offered
Not offered
2020
22 sections
22 sections
Not offered
Not offered
2019
22 sections
Not offered
Not offered
n/aNo data for this term
2018
Not offered
Not offered
Not offered
n/aNo data for this term
2017
Not offered
Not offered
Not offered
Not offered
2016
Not offered
Not offered
Not offered
n/aNo data for this term
ForecastUnder 15%15–39%40–69%70–89%90%+Not enough history
Fall Spring Summer Intersession Darker means more sectionsNot offeredNo data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a
cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first
Mon, 2:50 PM–5:50 PMCarlson Hall CH12820262025
Mon, Wed, 12:00 PM–1:15 PMCarlson Hall CH1282025
Mon, Wed, 4:30 PM–5:55 PMCarlson Hall CH1282020
Tue, Thu, 2:45 PM–4:15 PMJC0012019
Tue, 8:50 AM–11:50 AMJC2182012
Tue, 9:00 AM–12:00 PMCarlson Hall CH1202011-32010-32009-12003
Mon, 1:00 PM–4:00 PMCarlson Hall CH1202011-22010-2