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Profile Evaluation Ph.D. Statistics/Biostatistics


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Undergrad Major: BA/MA in Statistics and Applied Mathematics (Since it is a BA/MA, I do not have a separate "Graduate" transcript. They are both considered undergraduate but i get two degrees when I graduate)

GPA: 3.54

Type of Student: Domestic

Relevant Courses(Undergraduate): 
Calculus 1: C+

Calculus 2: D (Took Calc 1 and 2 freshmen year where all i did was drink and party. I wasn't in the right mindset ? )

Calculus 3: A-

Linear Algebra: A-

Relevant Courses (Graduate):

Mathematical Statistics: B+

Probability Theory I: A

Probability Theory II: A

General Linear Models I: C+ (professor who was new and gave everyone pretty low grades)

General Linear Models II: A (Same professor used a different textbook, I also worked harder)

5 other elective courses where I got an A in all

GRE General: Need to take

Programs Applying: Applied Mathematics and Statistics/Biostatistics PhD

Potential Schools: NYU, Stony Brook, Columbia, Rutgers, NJIT, Cornell 

Work Experience: 3 Internships working with data analysis and currently just got a job as a statistician (planning to stay for a year)

Research Interests: Cancer research, Clinical trials and drug development, machine learning

LOR: 1 full statistics professor, 1 bioinformatics professor, 1 Supervisor from internship, 1 MD/MPH from internship

I know my GPA is low, but which one of the schools do you think would be a reach and which would be programs I can get into? I don't particularly care about prestige or rank of universities since the goal is to go into industry. As you can see from my potential schools another preference is to be in the nyc/nj area. 

 

 

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I agree with @bayessays. The only thing that could potentially boost your profile would be to get a master's degree in probably mathematics taking some hard courses (e.g., topology, abstract algebra) and excelling in them. I also do not see a real analysis course in your profile, which would bar you from admission from most PhD programs (regardless of your grades).

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