Ph.D. in Computer and Statistical Sciences
Overview
The Ph.D. will have 2 different concentrations: Computer Science, and Statistics.
Some of the prerequisites are common, others are concentration specific.
Ph.D. Program Prerequisites
Admission to this program requires a Bachelor’s degree in Computer Science, Statistics, Biostatistics, Mathematics, Engineering, or a closely related field. A Master’s degree is encouraged but not required.
Common requirements include course work covering the material in the following
courses:
- MTH 141 – Calculus 1
- MTH 142 – Calculus 2
- MTH 215 – Introduction to Linear Algebra
- One course in Mathematics or Statistics for which calculus is a prerequisite
GRE tests are no longer required for admission in all our graduate programs. In addition, international applicants will need to report their TOEFL scores. Waivers can be granted at the discretion of the graduate director.
Specific Prerequisites for Computer Science Concentration
In addition to the general requirements, applicants with a bachelor’s degree in an unrelated field will be considered provided they have completed course work covering the material in:
- CSC 211 Object-Oriented Programming
- CSC 212 Data Structures and Abstractions
- CSC 301 Fundamentals of Programming Languages
- CSC 340: Applied Combinatorics
- CSC 440 Design and Analysis of Algorithms
Specific Prerequisites for Statistics Concentration
In addition to the general requirements, following courses or their equivalents (will need approval of the graduate program chair) may be required to be admitted to our program if a student lacks a strong quantitative background. However, these requirements may be waived based on prior experience in industry or research.
- MTH 243 – Calculus for Functions of Several Variables
- STA 409 – Statistical Methods in Research I
- STA 412 – Statistical Methods in Research II
- MTH 451 – Intro Probability and Statistics
- MTH 452 – Mathematical Statistics
Feb 15 — application deadline for the Fall semester if the applicant wants to be considered for financial assistance such as TA/RA.
May 15 – application deadline for Fall semester (no considerations for financial aid are given)
Nov 15 – application deadline for Spring semester (no considerations for financial aid are given)
If you were admitted to the Ph.D. in Computer Science program in Spring 2023 or earlier you can choose between the previous curriculum and the current one. If you were admitted to the program in Spring 2023 or later you must follow the current curriculum.