Texas A&M MS Economics

Plan the degree, semester by semester.

Last updated: May 22, 2026

Total Credits 0 / 36
Core Credits 0 / 15
ECON/ECMT Electives 0 / 6
Supporting Credits 0 / 15
ECON 675
Capstone
STAT 656
Applied Analytics

Academic standing

GPA forecast

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Update grades in the course plan. Blank planned courses are excluded from GPA.

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Upcoming deadlines

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Degree map

Semester plan

Core ECON/ECMT elective Supporting

Curriculum rules

Requirement checklist

Degree minimums

  • 36 credit hours total
  • 15 credit hours of core courses
  • 6 credit hours of ECON/ECMT electives
  • 15 credit hours of supporting coursework

Notes to track

  • Summer 2026: ECON 684 Professional Internship completed with S; 6 credits applied to degree plan.
  • Fall 2026 plan: ECON 675 (Capstone, 3 cr) + STAT 656 (Applied Analytics, 3 cr).
  • ECON 675 syllabus received May 13, 2026; presentations confirmed at WCSS 218.
  • STAT 656 Section 700 is fully online — Canvas quizzes, R homework, video project tasks.
  • Final audit target: 15 core, 6 ECON/ECMT electives, at least 15 supporting credits.

Fall 2026 syllabi

What the Fall 2026 classes require

6 credits
ECON 675 · Fall 2026

Capstone for Financial Economics / Financial Econometrics

C
Instructor
Li Gan; Margaret Carpenter
Credits
3
Presentations
Proposal, second, and final presentations; LASB 218 listed
Final exam
No final exam

Main work

Group research paper using professional literature and data, with teams of up to three students. Work includes a proposal, revised proposal, midterm report, updated midterm report, final report, final paper, and mandatory presentations.

Presentations 60%
Reports & revisions 35%
Writing + meeting 5%
STAT 656 · Section 700

Applied Analytics

SC
Instructor
Runmin Wang
Credits
3
Location
ONLINE ONLINE
Office hours
Tuesday 2-3 PM on Zoom
Homework 50%
Canvas quizzes 10%
Video project 40%

Format notes

R Markdown homework, open-book individual quizzes, and staged project videos replace a midterm or final exam.

ECON 675 syllabus

Capstone schedule checkpoints

Open PDF
May 18-22 / Aug 10-21

Informal drop-in hours

As available, 2:30-4:30 PM. Useful window for checking project fit and remote presentation constraints.

Aug 30, 5:00 PM

Proposal due

Project description, literature review, data source, and optional AI usage log due to Canvas. Worth 5%.

Sep 3, 9:20 AM · WCSS 218

Proposal presentation ✓

Presented Sep 3. Score: 13/15. Professor feedback: add scatter plots (returns vs factors), compare alpha/beta across 1990s dotcom vs current AI sector. Worth 10%.

Sep 13, 5:00 PM

Revised proposal

Revised proposal plus response to comments submitted to Canvas. Worth 5%.

Oct 4, 5:00 PM

Midterm report ✓

Submitted Oct 4. Fama-French analysis of Dot-Com, Post-COVID Tech, and AI Cycle booms. 4 models (CAPM, FF3, FF5, FF5+MOM), 5 figures, Tables 1–4. Group 8: Arnav Gokhale, Mustafa Zeshan, Rinad Mohamed. Worth 5%.

Oct 6, 3:00 PM · WCSS 218

Second presentation ✓ — 18/18

Midterm results presentation — Group 8 (Arnav Gokhale, Mustafa Zeshan, Rinad Mohamed). 12 slides, 15–20 min. Topics: episode overview, model spec, alpha analysis (NVDA/CSCO/INTC/AVGO/PLTR significant), rolling beta, scatter plots. Slides in Drive. Worth 20%.

Nov 8, 5:00 PM

Final report

Final report submitted to Canvas under rubric #3. Worth 5%.

Professor feedback from midterm presentation (Oct 6, 18/18): (1) Add equally-weighted portfolio analysis side-by-side with current stock-level results — large-cap stocks like MSFT/AMZN/GOOGL are a chunk of the market index, creating mechanical beta friction. (2) Add an explicit investment recommendation: frame which stocks to buy vs. avoid based on alpha findings — NVDA, CSCO, INTC, AVGO, PLTR are the "get" stocks (significant alpha); rest are pure systematic risk.

Nov 9-20

Final presentations

Presentation to the instructor and one additional evaluator. WCSS 218. Worth 30%.

Nov 29, 5:00 PM

Final paper + responses

Final paper and responses to comments due. Rubric requires at least 12 pages with 1-inch margins. Worth 10%.

STAT 656 syllabus

Applied Analytics schedule checkpoints

Runmin Wang · Online
Weekly · Due Sun 11:59 PM

Canvas Quizzes (×13, 1 dropped)

Open-book, individual. Post Thursday, due Sunday. 10% of grade total — ~0.8% each after the lowest is dropped. Quiz 1: 40/40 ✓

Sep 12, 11:59 PM

HW 1 — Flight Delays

R Markdown homework submitted as .Rmd + knitted file. 10% of grade. 30% late penalty; no submissions accepted after 24 hrs.

Sep 19, 11:59 PM

Task 1 — 1-min individual video

Each person submits a 1-minute video describing the problem and what they propose to do. Also form groups of 3 for the rest of the project. Worth 5%.

Sep 26, 11:59 PM

HW 2 — Bootstrap & Regression

R Markdown homework. Worth 10%.

Oct 10, 11:59 PM

HW 3 — Customer Churn

R Markdown homework. Worth 10%.

Oct 17, 11:59 PM

Task 2 — Feynman Method video

Group submits a 1-min explanation video + 5-min Feynman method video applying one topic/idea to the project. Worth 10%.

Oct 31, 11:59 PM

HW 4 — HIV Drug Therapy

R Markdown homework. Worth 10%.

Nov 14, 11:59 PM

Task 3 — Project Update video

Group submits a 7-min video answering specific questions about the project. Worth 10%.

Nov 21, 11:59 PM

HW 5 — Digits

R Markdown homework. Worth 10%.

Dec 7, 11:59 PM

Task 4 — Final project submission

Group submits a 10-min video describing the entirety of the project. Worth 15%.

Fall 2026 deadlines

Semester calendar

ECON 675 STAT 656

Work tracker

Course tasks

Source material

Context snapshots