Hi folks,
I am just entering a terminal Masters of Statistics Program at the University of Utah (Utah doesn't offer a Stat PhD) and am hoping to apply to PhD programs after finishing. Could people kindly recommend fitting programs given my profile/history below? I have been struggling to find good information on the topic.
Undergraduate Institution: University of Utah (#34 in Mathematics and #12 in Algebra/Number Theory/Algebraic Geometry per USNews)
Majors: Mathematics (Statistics Emphasis) and Economics (Econometrics Emphasis) Double Major
Cumulative GPA: 3.34/4.00
Math major GPA: 3.70 | Econ major GPA: 3.85
Graduate Institution: University of Utah
Graduate Program: Master of Statistics - Department of Mathematics
Type of Student: Male South Pacific Islander (Samoan)
Relevant Courses:
* Math/Statistics/Econometrics
MATH 1050 College Algebra (A)
MATH 1070 Intro to Stat Inference (A)
MATH 1210 Analytical Geometry & Calc 1 (A-)
MATH 1220 Analytical Geometry & Calc 2 (A)
MATH 2200 Discrete Mathematics (A)
MATH 2210 Calculus 3 (A)
MATH 3070 Applied Statistics 1 (A-)
MATH 3080 Applied Statistics 2 (A-)
MATH 2270 Linear Algebra (A-)
MATH 3210 Foundations of Analysis 1 (A)
MATH 3220 Foundations of Analysis 2 (A)
MATH 5010 Intro to Probability (B-)
MATH 5075 Time Series Analysis (A)
MATH 5080 Statistical Inference 1 (A-)
MATH 5090 Statistical Inference 2 (A)
MATH 5750 Inverse Problems (A)
ECON 3640 Prob&Stat Inference (A)
ECON 4650 Principles of Econometrics (A)
ECON 4660 Applied Statistical Tools (A)
ECON 4670 Community Research (A) - Senior Econometrics Capstone course
*Additional Math/Stat Courses I will have completed by time of application
MATH 4400 Number Theory
MATH 5040 Stochastic Proc & Simulations I
MATH 5050 Stochastic Proc & Simulations II
MATH 6010 Linear Models
MATH 6020 Multi-Linear Models
MATH 6040 Probability Theory
MATH 6070 Mathematical Statistics
MATH 6210 Real Analysis
Along with a myriad of graduate level computer science courses focusing around algorithms, machine learning, and perhaps scientific computation.
* Computer Science:
CS 1410 Intro to Object Orientated Programming (A)
CS 2420 Intro to Algorithms and Data Structures (A)
* Other Quantitative Intensive Courses
Principles of Microeconomics (A)
Intermediate Microeconomics (A-)
Principles of Macroeconomics (A-)
Intermediate Macroeconomics (A-)
Physics 1 (B) (Algebra Based)
GRE General Test: I have not yet taken
Research Experience: I did two semesters of Undergraduate Research in the data science domain. I modeled mouse cursor movement data to better predict 1-5 *usefulness* ratings of web pages in an intelligent web browser my faculty mentor had created. I presented my model and findings and some data science conferences, but we never published anything.
I've also taken two project based economics courses with "research" in the title, but was certainly not proper academic research. It was more like policy consulting to government agencies.
Work Experience: I worked at a top investment bank, Goldman Sachs, for almost two years after finishing my first undergraduate degree in Economics. My position was first as a Business Intelligence Specialist in the Margin space in Securities, and I later moved to a liquidity risk engineer position (akin to a data engineer) in the Risk division.
Other Relevant Items: My GPA is generally poor because I did very poor in several gen-eds at the very beginning of my college career. Regarding my (B-) in MATH 5010 Probability, I woke up the morning of the final with stomach flu. I could hardly sit for the exam and handed it in with the majority of questions left blank. This dropped me from a 98% (A) in the class to a (B-). I plan to retake the graduate level version this summer.
Letters of Recommendation:
1 from Professor in Math Department (Asymptotic Theory Specialist)
Other two
Schools:
UChicago
Northwestern
CMU
UCLA
These are really the only programs I am familiar with. Do I have a chance at top US programs? What should be target range of schools given the above?
Thanks!!!!