Frequently Asked Questions

We accept applicants from any major with strong coursework (at least 4 classes) or a degree in an environmentally-related field. Examples of fields include, but are not limited to, 

• Environmental Science
• Earth Science
• Engineering
• Biology
• Chemistry
• Economics
• Geography
• Political Science 

For additional details, please see the Admissions Eligibility page.

Yes. One calculus-level math course and one statistics course are required. See the Admissions Eligibility page for full details.

If you are lacking preparation in a prerequisite area, you are still eligible for admission to the program if you include a supplemental memo to your application that outlines your plan to complete missing coursework before enrolling. A clear plan strengthens your application.

No. We are not accepting GRE scores for this admissions cycle.

No. Coding or programming experience is not required.

Program prerequisites require at least one math course at the calculus level (or higher) and one statistics course, but you don’t have to be a math expert. Environmental data science does involve using statistics, calculus, and algebra to tackle quantitative problems, so we expect prospective students to be ready and excited to learn these tools. There will be plenty of instructional support along the way!

Applications are due December 16, 2025. Required materials: 

• UCSB Graduate Application
• Application fee (waived for MEDS applicants who submit the waiver form by December 1, 2025.)
• Statement of Purpose
• Personal History Statement
• Resume or C.V.
• 3 Letters of Recommendation
• Prerequisite Verification Form
• Transcripts
• English language exam (if applicable)

Full details are on our How to Apply webpage.
 

Applications for the MEDS program open each September with two deadlines: a priority deadline of December 16 and a final deadline of March 1. Priority applicants receive decisions by mid-February; final deadline applicants hear back before April 1. We do not offer rolling admissions.

Yes. The deadline for both is December 16.

You can apply to both, but you may only enroll in one. 

Yes. The fee is waived for all MEDS applicants who submit the waiver form by December 1, 2025.

Most students receive funding through Recruitment Fellowships, awarded to about 78% of the current class. Awards range from partial to full tuition. All applicants are automatically considered; no separate application is required. Additional support may be available through the UCSB Graduate Division and Financial Aid Office. You can see additional details on our Tuition and Finance page.

Late July or early August.

No. All courses are in-person.

Yes.

Yes, though highly uncommon. A two-year option is available with pre-approval. These students must work closely with us to craft a Program of Study that allows them to meet the degree requirements while also accommodating their schedule.

The program is full-time. Part-time work may be possible depending on your workload, but it is not designed to be completed while maintaining full-time employment. 

AI is becoming an important part of environmental data science, and MEDS students learn how to use AI tools effectively, critically, and responsibly. Our approach starts with building a strong foundation in programming, statistics, data management, and visualization before introducing AI tools and workflows.

Students participate in workshops on topics such as prompting fundamentals, AI-assisted coding, and agentic workflows, while also encountering AI throughout the curriculum through instructor demonstrations and course assignments. Because AI technologies evolve rapidly, the program regularly reviews and updates its approach to ensure students are learning current tools and practices.

MEDS courses teach geospatial analysis using both R and Python. Esri's product, ArcGIS, is not covered.

MEDS is an accelerated master's program and the required courses constitute a full workload — 12 to 16 credits per quarter. Although MEDS students are eligible to take non-EDS courses both at Bren and in other departments (subject to instructor approval), additional coursework is uncommon.

MEDS focuses on applying data science to environmental problems. MESM provides a broader interdisciplinary foundation. For greater detail on the differences between the two programs, please see our program comparison.

Graduates are prepared for roles such as data analyst or data scientist across government, consulting, non-profits, and the private sector. Explore alumni careers on our student explorer.