The Computational Science and Statistics Ph.D. program is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest in a wide variety of applied and theoretical contexts. The Statistics Specialization will emphasize curriculum and research programs focusing on problems at the boundaries of effectiveness of current modern statistical methods. Students in this specialization will received a multidisciplinary education combining the curriculums of the Mathematics and Data Science specializations.
Computational Science & Statistics - Statistics
University of Arkansas
United States of America, Fayetteville
Computational Science & Statistics - Statistics
About
- Have an undergraduate or master's degree in mathematics, statistics, or related field
- Have strong problem-solving and quantitative skills
- Are able to grasp the essence of complex situations
- Have good communication skills
- Want your quantitative skills to have an impact
Disciplines
Jerome J. Lohr College of Engineering
Requirements
Entry Requirements
- A minimum GPA of 3.0 to receive unconditional admission.
- A professional academic transcript evaluation for degrees earned outside the United States (This requirement cannot be waived unless your highest degree was earned or will be earned in the U.S. prior to enrollment at SDSU).
- If you are completing your bachelor's degree at the time of application, you may submit an incomplete evaluation. If you are accepted, a complete transcript and/or evaluation with completed degree will be required by the end of your first semester of coursework.
- Official U.S. transcripts where a degree is earned (or will be earned), and official U.S. transcripts where graduate level coursework has been taken.
- A minimum TOEFL score of 71, TOEFL Essentials score of 7.5, IELTS score of 6 or Duolingo score of 100.
- SDSU accepts MyBest TOFEL scores.
- Some programs have higher minimum requirements. Find program specific requirements by selecting your program of interest in the Graduate Catalog.
Career
- Statistician
- Data Scientist
- Statistical programmer
- Financial analyst
- Research and development manager
- Quality assurance engineer
- Professor
- Researcher
Fee Information
Tuition Fee
USD 29,704Application Fee
USD 35How to Apply
Step 1
Complete the online application and pay application fee.
Step 2
Submit all required application materials including:
- Transcript Evaluation
- Transcripts
- IELTS, TOEFL or Duolingo Scores
- Financial Documents
- Proof of Immunity
- Documents Required by Your Program of Interest
Step 3
The Graduate School will review your application file. When all required documents have been received, your application file will be sent to your program's department for review.
Step 4
The department will review your application file and provide an initial admission decision before sending it back to the Graduate School. The time frame for this step varies according to each department's review process. Allow for a minimum of 3-4 weeks.
Step 5
The Graduate School provides final review and admission decision. You will receive an e-mail notification of the admission decision.
Step 6
Upon acceptance, the International Student Affairs office will be the main point of contact for any questions or concerns regarding your visa, travel arrangements and other issues. Please note, SDSU is not authorized to issue I-20s for certificate level programs. International students must be in an on-campus, master's or doctoral level program to be issued an I-20.
Computational Science & Statistics - Statistics
University of Arkansas
United States of America,
Fayetteville
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