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PhD of Computational Science and Statistics Data Science
- Brookings, United States
- 3 years
- English
- On campus
- PhD
About the program
A full-time doctoral programme at SDSU's Brookings campus covering doctoral work combining computational and statistical methods with a data-science emphasis on large, complex data for industry needs.
Program highlights
- Internship available: no
- Placement support: yes
- Work during study: yes
- Post-study work rights (1 year): yes
- PR pathway friendly: no
What you will learn
- Formulate an original research problem in Computational Science and Statistics – Data Science. Evaluate specialist literature and select rigorous methodologies to investigate the research question. Disseminate research findings with awareness of methodological limitations and research ethics.
Career outcomes
- Data scientist
- Predictive analyst
- Statistician
- Financial or business analyst
- Risk analyst
- Professor
- Researcher
Curriculum
- Credit requirement: 72 Credit Plan
- about 3-5 years of study. Focus: doctoral work combining computational and statistical methods with a data-science emphasis on large
- complex data for industry needs. The page lists no individual course titles
- the Graduate Catalog holds the plan of study.
Entry requirements
Academic
- Bachelor's or master's degree transcripts per programme; minimum GPA 3.0 for unconditional acceptance (some programmes higher); passport photo page; English proof (TOEFL iBT 4.0
- IELTS 6.0
- Duolingo 100 or waiver); one year of financial support evidence; MMR immunisation proof; GRE
- resume
- statement of purpose and recommendations where the programme requires
- Minimum GPA 3.0 for unconditional acceptance; some programmes have higher requirements
Minimum GPA
3
Accepted academic background
Official bachelor's degree transcript or credential evaluation (incomplete transcript allowed for current final-year students); passport photo page; proof of English proficiency; one year of financial support evidence; MMR immunisation proof; GRE, resume, statement of purpose and recommendations if the programme requires, plus master's/bachelor's per programme
Language tests
- TOEFL iBT 4.0
- IELTS 6.0
- Duolingo 100
- IELTS Academic 6
Documents you’ll need
- Academic Transcripts
- Previous Qualification Certificate
- Passport Copy
- Language Proficiency Results (where applicable)
How to apply
- Review the research area
- supervisory arrangements and doctoral admission requirements. Prepare academic transcripts
- previous qualifications and any requested research proposal or references. Submit the application with supporting documents. Provide language evidence and pay any application fee if applicable. Await the admission decision.
Other costs
| Tuition per year | $14,200 USD |
|---|---|
| Application fee | $40 USD |
| Deposit | _ |
Program details
| Campus | Brookings Main Campus |
|---|---|
| Faculty or school | Jerome J. Lohr College of Engineering |
| Department | Department of Mathematics and Statistics |
| Teaching language | English |
| Credit value | 72 |
| Study pace | Fixed |
| Post-study stay | 1 year |
| Scholarship note | International student scholarships and eligible graduate assistantships may offer financial assistance; check program and academic criteria. |
Intakes and deadlines
Program starts
August 2027
Apply by
15 Dec 2026
31 days left
Frequently asked questions
The program takes 3 years.
The next deadline is 15 Dec 2026. Apply early, because some programs close when places fill up.
Tuition is $14,200 USD per year. The application fee is $40 USD. The estimated living cost is $11,772 USD.
The minimum GPA is 3. Accepted language tests: TOEFL iBT 4.0, IELTS 6.0, Duolingo 100, IELTS Academic 6.