Assess the inclusion of AI third-party applications, including privacy policies, certifications, and audit reports. Consult with the Office of Information Security to assist with reviewing the use case and AI implementation. Users who seek to incorporate P3/P4 data should contact the Chief Information Security Officer's office.
UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.
claim-ucsb-ai-security-review
AI Technical & Security Guidelines, Vendor Evaluation
Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
claim-ucsb-instructor-discretion-ai
FAQ question on artificial-intelligence software allowed for assignments
While AI detection software exists, the UCSB Office of Student Conduct does not accept these tools as sole evidence for academic dishonesty due to their known inaccuracies. UCSB does not support the use of plagiarism detection software.
UCSB OTL states that UCSB does not support AI plagiarism-detection software and that the Office of Student Conduct does not accept such tools as sole evidence for academic dishonesty.
claim-ucsb-ai-detection-software
Approach to Suspected AI Misuse and AI Plagiarism Detection Software
Neither UCSB nor the UC system has a formal policy on generative AI in teaching and learning contexts, thereby allowing instructors to formulate their own class policies.
UCSB OTL states that neither UCSB nor the UC system has a formal generative-AI policy for teaching and learning contexts, so instructors may formulate class policies.
AI should not be used to provide direct feedback on student work. It is possible to use AI to analyze student work for common patterns, generate categories of success or areas of challenge, or create a set of sample comments; however, you must obtain consent.
UCSB OTL guidance says AI should not be used to provide direct feedback on student work, and that instructors using AI to analyze student work for common patterns or sample comments must obtain consent.
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: A UCSB-managed AI platform on AWS Bedrock.
UCSB-managed AI platform on AWS Bedrock is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
GitHub Copilot is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: Google AI Pro for Education.
Google AI Pro for Education is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
claim-ucsb-instructor-discretion-ai
FAQ question on artificial-intelligence software allowed for assignments
While AI detection software exists, the UCSB Office of Student Conduct does not accept these tools as sole evidence for academic dishonesty due to their known inaccuracies. UCSB does not support the use of plagiarism detection software.
UCSB OTL states that UCSB does not support AI plagiarism-detection software and that the Office of Student Conduct does not accept such tools as sole evidence for academic dishonesty.
claim-ucsb-ai-detection-software
Approach to Suspected AI Misuse and AI Plagiarism Detection Software
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: A UCSB-managed AI platform on AWS Bedrock.
UCSB-managed AI platform on AWS Bedrock is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
GitHub Copilot is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: Google AI Pro for Education.
Google AI Pro for Education is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Given the expanding role that large language models will undoubtedly play in our students' lives, we encourage highly mediated, critically-aware, and transparent use of AI writing technology. We expect students to maintain academic integrity and honesty while using AI writing technology, acknowledging any and all assistance received from these tools.
The UCSB Writing Program's AI policy encourages critically aware and transparent use of AI writing technology and expects students to maintain academic integrity by acknowledging assistance from these tools.
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Privacy & sensitive dataUniversity of California, Santa Barbara (UCSB)
At present, ChatGPT should be used with the assumption that any personal, confidential, or otherwise sensitive information may not be protected. Do not use ChatGPT with sensitive or confidential information, such as student information, health information, financial information, staff information, personally identifiable information (PII), or personnel conduct data.
UCSB Information Technology guidance says ChatGPT should be treated as potentially unprotected for personal, confidential, or otherwise sensitive information and should not be used with sensitive or confidential information.
AI should not be used to provide direct feedback on student work. It is possible to use AI to analyze student work for common patterns, generate categories of success or areas of challenge, or create a set of sample comments; however, you must obtain consent.
UCSB OTL guidance says AI should not be used to provide direct feedback on student work, and that instructors using AI to analyze student work for common patterns or sample comments must obtain consent.
If you plan to use AI to help you identify patterns in student work by uploading that work, you should obtain student permission, and should only use campus-approved AI platforms.
UCSB guidance says instructors using AI to identify patterns in student work by uploading that work should obtain student permission and use only campus-approved AI platforms.
cl-maint-20260526-ucsb-student-work-consent
Ethical use of AI for grading and feedback / Obtain consent
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: A UCSB-managed AI platform on AWS Bedrock.
UCSB-managed AI platform on AWS Bedrock is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
GitHub Copilot is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: Google AI Pro for Education.
Google AI Pro for Education is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Assess the inclusion of AI third-party applications, including privacy policies, certifications, and audit reports. Consult with the Office of Information Security to assist with reviewing the use case and AI implementation. Users who seek to incorporate P3/P4 data should contact the Chief Information Security Officer's office.
UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.
claim-ucsb-ai-security-review
AI Technical & Security Guidelines, Vendor Evaluation
As a general guideline, those implementations with expected initial implementation costs of over $100,000, and/or ongoing operating costs of over $50,000, should be brought to the IT Council for review and evaluation.
UCSB CIO implementation guidance says, as a general guideline, AI implementations with expected initial costs over $100,000 or ongoing operating costs over $50,000 should be brought to the IT Council for review and evaluation.
claim-ucsb-ai-it-council-review
AI Implementation and Prioritization Guidelines, Evaluation Process
These guidelines, developed by the UCSB ITC Subcommittee on AI, are intended to serve as guidance for members of the campus community who engage with AI for research, teaching, administrative work, and other university-associated functions.
UCSB's CIO page provides AI-use guidance for members of the campus community engaging with AI for research, teaching, administrative work, and other university-associated functions, with context-dependent application.
Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
claim-ucsb-instructor-discretion-ai
FAQ question on artificial-intelligence software allowed for assignments
While AI detection software exists, the UCSB Office of Student Conduct does not accept these tools as sole evidence for academic dishonesty due to their known inaccuracies. UCSB does not support the use of plagiarism detection software.
UCSB OTL states that UCSB does not support AI plagiarism-detection software and that the Office of Student Conduct does not accept such tools as sole evidence for academic dishonesty.
claim-ucsb-ai-detection-software
Approach to Suspected AI Misuse and AI Plagiarism Detection Software
Given the expanding role that large language models will undoubtedly play in our students' lives, we encourage highly mediated, critically-aware, and transparent use of AI writing technology. We expect students to maintain academic integrity and honesty while using AI writing technology, acknowledging any and all assistance received from these tools.
The UCSB Writing Program's AI policy encourages critically aware and transparent use of AI writing technology and expects students to maintain academic integrity by acknowledging assistance from these tools.
Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
claim-ucsb-instructor-discretion-ai
FAQ question on artificial-intelligence software allowed for assignments
These guidelines, developed by the UCSB ITC Subcommittee on AI, are intended to serve as guidance for members of the campus community who engage with AI for research, teaching, administrative work, and other university-associated functions.
UCSB's CIO page provides AI-use guidance for members of the campus community engaging with AI for research, teaching, administrative work, and other university-associated functions, with context-dependent application.
Neither UCSB nor the UC system has a formal policy on generative AI in teaching and learning contexts, thereby allowing instructors to formulate their own class policies.
UCSB OTL states that neither UCSB nor the UC system has a formal generative-AI policy for teaching and learning contexts, so instructors may formulate class policies.
AI should not be used to provide direct feedback on student work. It is possible to use AI to analyze student work for common patterns, generate categories of success or areas of challenge, or create a set of sample comments; however, you must obtain consent.
UCSB OTL guidance says AI should not be used to provide direct feedback on student work, and that instructors using AI to analyze student work for common patterns or sample comments must obtain consent.
If you plan to use AI to help you identify patterns in student work by uploading that work, you should obtain student permission, and should only use campus-approved AI platforms.
UCSB guidance says instructors using AI to identify patterns in student work by uploading that work should obtain student permission and use only campus-approved AI platforms.
cl-maint-20260526-ucsb-student-work-consent
Ethical use of AI for grading and feedback / Obtain consent
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for security and procurement; deterministic analysis status: recommended.
Security and procurementUniversity of California, Santa Barbara (UCSB)
Assess the inclusion of AI third-party applications, including privacy policies, certifications, and audit reports. Consult with the Office of Information Security to assist with reviewing the use case and AI implementation. Users who seek to incorporate P3/P4 data should contact the Chief Information Security Officer's office.
UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.
claim-ucsb-ai-security-review
AI Technical & Security Guidelines, Vendor Evaluation
As a general guideline, those implementations with expected initial implementation costs of over $100,000, and/or ongoing operating costs of over $50,000, should be brought to the IT Council for review and evaluation.
UCSB CIO implementation guidance says, as a general guideline, AI implementations with expected initial costs over $100,000 or ongoing operating costs over $50,000 should be brought to the IT Council for review and evaluation.
claim-ucsb-ai-it-council-review
AI Implementation and Prioritization Guidelines, Evaluation Process
These guidelines, developed by the UCSB ITC Subcommittee on AI, are intended to serve as guidance for members of the campus community who engage with AI for research, teaching, administrative work, and other university-associated functions.
UCSB's CIO page provides AI-use guidance for members of the campus community engaging with AI for research, teaching, administrative work, and other university-associated functions, with context-dependent application.
Updates to this site's reviewed record, not confirmation that the university changed its policy.
Update records are not available for this page yet.
Reviewed record
Reviewed claims
14 reviewed claims
Academic Integrity 2 reviewed claims
Academic Integrity
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
Localized display only
Student Conduct says assignment use of AI tools is determined by the instructor of record and points students to the syllabus and instructor discussion.
Source language
English (en)
Snapshot hash
e44a0245…
Retrieved
May 15, 2026
Evidence locator
FAQ question on artificial-intelligence software allowed for assignments
Academic Integrity
UCSB OTL states that UCSB does not support AI plagiarism-detection software and that the Office of Student Conduct does not accept such tools as sole evidence for academic dishonesty.
While AI detection software exists, the UCSB Office of Student Conduct does not accept these tools as sole evidence for academic dishonesty due to their known inaccuracies. UCSB does not support the use of plagiarism detection software.
Localized display only
OTL says AI-detection tools are not accepted as sole academic-dishonesty evidence and says UCSB does not support plagiarism-detection software.
Source language
English (en)
Snapshot hash
56204fd5…
Retrieved
May 15, 2026
Evidence locator
Approach to Suspected AI Misuse and AI Plagiarism Detection Software
Teaching 2 reviewed claims
Teaching
UCSB OTL guidance says AI should not be used to provide direct feedback on student work, and that instructors using AI to analyze student work for common patterns or sample comments must obtain consent.
AI should not be used to provide direct feedback on student work. It is possible to use AI to analyze student work for common patterns, generate categories of success or areas of challenge, or create a set of sample comments; however, you must obtain consent.
Localized display only
OTL says AI should not provide direct feedback on student work and that consent is needed for AI-supported pattern analysis of student work.
Source language
English (en)
Snapshot hash
56204fd5…
Retrieved
May 15, 2026
Evidence locator
Ethical use of AI for grading and feedback
Teaching
The UCSB Writing Program's AI policy encourages critically aware and transparent use of AI writing technology and expects students to maintain academic integrity by acknowledging assistance from these tools.
Given the expanding role that large language models will undoubtedly play in our students' lives, we encourage highly mediated, critically-aware, and transparent use of AI writing technology. We expect students to maintain academic integrity and honesty while using AI writing technology, acknowledging any and all assistance received from these tools.
Localized display only
The Writing Program encourages transparent, critically aware AI writing-tool use and expects students to acknowledge assistance.
Source language
English (en)
Snapshot hash
5c44eec8…
Retrieved
May 15, 2026
Evidence locator
Writing Program AI policy key policy points
Privacy 2 reviewed claims
Privacy
UCSB Information Technology guidance says ChatGPT should be treated as potentially unprotected for personal, confidential, or otherwise sensitive information and should not be used with sensitive or confidential information.
At present, ChatGPT should be used with the assumption that any personal, confidential, or otherwise sensitive information may not be protected. Do not use ChatGPT with sensitive or confidential information, such as student information, health information, financial information, staff information, personally identifiable information (PII), or personnel conduct data.
Localized display only
UCSB IT warns that ChatGPT may not protect personal, confidential, or sensitive information and should not be used with sensitive or confidential information.
Source language
English (en)
Snapshot hash
f03e773c…
Retrieved
May 15, 2026
Evidence locator
Data Protection and ChatGPT Use guidance
Privacy
UCSB guidance says instructors using AI to identify patterns in student work by uploading that work should obtain student permission and use only campus-approved AI platforms.
Review: Agent reviewedConfidence90%
Normalized value: Uploading student work to AI for pattern identification requires student permission and campus-approved AI platforms.
Last checked
May 25, 2026
Last changed
May 26, 2026
Original evidence
Evidence 1
If you plan to use AI to help you identify patterns in student work by uploading that work, you should obtain student permission, and should only use campus-approved AI platforms.
Source language
English (en)
Snapshot hash
56204fd5…
Retrieved
May 25, 2026
Evidence locator
Ethical use of AI for grading and feedback / Obtain consent
Security Review 1 reviewed claim
Security Review
UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.
Assess the inclusion of AI third-party applications, including privacy policies, certifications, and audit reports. Consult with the Office of Information Security to assist with reviewing the use case and AI implementation. Users who seek to incorporate P3/P4 data should contact the Chief Information Security Officer's office.
Localized display only
The technical guidance directs AI implementation reviewers to assess third-party apps, consult the Office of Information Security, and contact the CISO office for P3/P4 data.
Source language
English (en)
Snapshot hash
7c82ec0f…
Retrieved
May 15, 2026
Evidence locator
AI Technical & Security Guidelines, Vendor Evaluation
AI tool use 4 reviewed claims
Ai Tool Treatment
UCSB-managed AI platform on AWS Bedrock is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Review: Agent reviewedConfidence97%
Normalized value: {"tool":"aws_bedrock","rawToolName":"UCSB-managed AI platform on AWS Bedrock","description":"UCSB lists an AI platform on AWS Bedrock as a generative-AI pilot program being tested for future adoption.","howToObtain":"Pilot access details are not stated in the cited annual report.","costToUser":"Not specified by the cited source.","availability":"conditionally_allowed","endorsementType":"not_specified"}
Last checked
Jul 16, 2026
Last changed
Jul 16, 2026
Original evidence
Evidence 1
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: A UCSB-managed AI platform on AWS Bedrock.
Localized display only
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: A UCSB-managed AI platform on AWS Bedrock.
Source language
English (en)
Snapshot hash
cc63b66a…
Retrieved
Jul 16, 2026
Ai Tool Treatment
GitHub Copilot is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Review: Agent reviewedConfidence97%
Normalized value: {"tool":"github_copilot","rawToolName":"GitHub Copilot","description":"UCSB lists GitHub Copilot as one of several generative-AI pilot programs being tested for future adoption.","howToObtain":"Pilot access details are not stated in the cited annual report.","costToUser":"Not specified by the cited source.","availability":"conditionally_allowed","endorsementType":"not_specified"}
Last checked
Jul 16, 2026
Last changed
Jul 16, 2026
Original evidence
Evidence 1
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: GitHub Copilot.
Localized display only
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: GitHub Copilot.
Source language
English (en)
Snapshot hash
cc63b66a…
Retrieved
Jul 16, 2026
Ai Tool Treatment
Google AI Pro for Education is listed for University of California, Santa Barbara (UCSB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Review: Agent reviewedConfidence97%
Normalized value: {"tool":"google_ai_pro","rawToolName":"Google AI Pro for Education","description":"UCSB lists Google AI Pro for Education as one of several generative-AI pilot programs being tested for future adoption.","howToObtain":"Pilot access details are not stated in the cited annual report.","costToUser":"Not specified by the cited source.","availability":"conditionally_allowed","endorsementType":"not_specified"}
Last checked
Jul 16, 2026
Last changed
Jul 16, 2026
Original evidence
Evidence 1
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: Google AI Pro for Education.
Localized display only
UCSB launched several generative AI pilot programs aimed at testing secure, scalable tools and gathering insights for future adoption: Google AI Pro for Education.
Source language
English (en)
Snapshot hash
cc63b66a…
Retrieved
Jul 16, 2026
Ai Tool Treatment
UCSB CIO guidance says units implementing AI tools should make clear when AI tools are used, when AI use is permitted or forbidden, and when individual or campus-unit data is used to train AI tools.
Individuals should be informed when AI-enabled tools are being used. When individuals are permitted or forbidden to use AI tools, or when individual or campus unit data is used to train AI-enabled tools, this should be made clear by the units implementing the AI tools.
Localized display only
The CIO guidance asks implementing units to be transparent about AI-tool use, permissions or prohibitions, and use of individual or unit data for AI training.
Source language
English (en)
Snapshot hash
7c82ec0f…
Retrieved
May 15, 2026
Evidence locator
Transparency section
Procurement 1 reviewed claim
Procurement
UCSB CIO implementation guidance says, as a general guideline, AI implementations with expected initial costs over $100,000 or ongoing operating costs over $50,000 should be brought to the IT Council for review and evaluation.
As a general guideline, those implementations with expected initial implementation costs of over $100,000, and/or ongoing operating costs of over $50,000, should be brought to the IT Council for review and evaluation.
Localized display only
The implementation guidance gives cost thresholds for bringing AI implementations to UCSB's IT Council for review and evaluation.
Source language
English (en)
Snapshot hash
7c82ec0f…
Retrieved
May 15, 2026
Evidence locator
AI Implementation and Prioritization Guidelines, Evaluation Process
Source Status 1 reviewed claim
Source Status
UCSB OTL states that neither UCSB nor the UC system has a formal generative-AI policy for teaching and learning contexts, so instructors may formulate class policies.
Neither UCSB nor the UC system has a formal policy on generative AI in teaching and learning contexts, thereby allowing instructors to formulate their own class policies.
Localized display only
OTL describes the teaching-and-learning policy status as decentralized to instructor class policies rather than a formal UCSB or UC generative-AI teaching policy.
Source language
English (en)
Snapshot hash
56204fd5…
Retrieved
May 15, 2026
Evidence locator
Policies for Gen AI in Classes
Other 1 reviewed claim
Other
UCSB's CIO page provides AI-use guidance for members of the campus community engaging with AI for research, teaching, administrative work, and other university-associated functions, with context-dependent application.
Review: Agent reviewedConfidence93%
Normalized value: campus_ai_use_guidance
Last checked
May 15, 2026
Last changed
May 15, 2026
Original evidence
Evidence 1
These guidelines, developed by the UCSB ITC Subcommittee on AI, are intended to serve as guidance for members of the campus community who engage with AI for research, teaching, administrative work, and other university-associated functions.
Localized display only
UCSB's CIO page frames the guidelines as campus-community guidance for AI use across research, teaching, administrative work, and other university functions.
Source language
English (en)
Snapshot hash
7c82ec0f…
Retrieved
May 15, 2026
Evidence locator
Guidelines for AI Use introduction
Source record
Official sources
7 sources
7 official URLs; 7 source attributions and their captured versions retained.
Citation: University AI Policy Tracker. "University of California, Santa Barbara (UCSB) AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/university-of-california-santa-barbara
Original university source language remains canonical. This tracker is not an official university statement.
Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.
Questions students ask
Questions students ask
Can I use AI for my coursework?
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for coursework; deterministic analysis status: required.
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
View evidence →What security and procurement requirements apply?
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for security and procurement; deterministic analysis status: recommended.