PhD in Data Science

The following documents need to be uploaded with the application:

Transcripts: The application process requires official transcripts from all colleges and universities attended before the application deadline.

CV/Resume: Upload your CV. Include your related work experience, skills, education, and publications if available

GRE scores:

• • Please send them directly to the university using the school code 6481.
  • Tests must be less than five years old.
  • GRE scores may be waived in certain instances, on a case by case basis:
    • For students graduating from UNT’s master’s in data science, data engineering, artificial intelligence, computer science, computer engineering, electrical engineering, mathematics, or advanced data analytics, within the last 6 years
    • For students graduating from any UNT Master’s within the last 6 years with GPA of 3.5 or above
    • Upon application review, waiver of GRE may be provided for students graduating from another university’s data science equivalent program within the last 5 years with GPA of 3.5 or above.
    • If you would like to discuss the possibility of GRE waiver, please contact the Program Director Dr. Kewei Sha at kewei.sha@unt.edu.

Personal statement: Submit a personal statement (800-1000 words). Include the following elements: • Doctoral research interest areas • Data Science faculty you wish to study with (see their profiles at: https://datascience.unt.edu/people/faculty.html) • Research, professional, or community experiences demonstrating motivation, commitment, and potential for doctoral work • Accomplishments (publications, presentations, awards) • Communication skills inc. multilingual proficiency; technology skills; and contribution to the diversity of the field • Programming and data analytics skills

Three (3) letters of recommendation: Request within the admission application system the letters of recommendations from former professors, employers, or others who can give evidence of the applicant's aptitude for, as well as interest in, a research career in Data Science are required.

• Entering with Bachelor’s
  18  (covering statistical modeling, experimental design, data analysis principles and techniques, and machine learning and artificial intelligence)
• Entering with Master’s from a data science related discipline
  12 (covering advanced data analytics, AI),

• Entering with Bachelor’s
  12 (emerging techniques in data science such as Large Language Models, Reinforcement Learning, Casual Inference)
• Entering with Master’s from a data science related discipline
  9 (emerging techniques in data science such as Large Language Models, Reinforcement Learning, Casual Inference)

• Entering with Bachelor’s
  18, Research-related courses, including any courses required by the student’s major professor.
• Entering with Master’s from a data science related discipline
  12, Research-related courses, including any courses required by the student’s major professor.

9, Dissertation-related courses

A minimum of 12 credit hours of dissertation (DTSC 6950) is required