University of Virginia

• 학력 평가서Course-by-course credential evaluation필수

  학부 기관의 주된 수업 언어가 영어가 아니었다면 NACES 회원 평가 기관의 과목별(course-by-course) 학력 평가를 제출하세요. IEE와 SpanTran은 School of Data Science 전용 신청서를 제공합니다.

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  If English was NOT the primary language of instruction at your undergraduate institution: submit a course-by-course credential evaluation from a NACES-member evaluator (IEE and SpanTran offer custom applications for the School of Data Science).

• 이력서Resume or CV필수

  이력서. 실무 경력이 있는 학생과 없는 학생 사이에 선호 차이는 없습니다. 고등학교 정보는 넣지 마세요.

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  A resume or curriculum vitae. There is no preference for students with or without professional work experience. Do not include high school information.

• 단답형 질문Short answer questions필수

  필수 단답형 질문 2개와 선택 질문 1개가 있습니다(에세이 문항 참조).

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  Two required short answer questions and one optional (see essay prompts).

• 성적증명서Unofficial transcripts필수

  학부와 대학원을 포함해 지금까지 다닌 모든 고등교육 기관의 비공식 성적증명서를 업로드하세요. 등록하는 학생은 8월 1일까지 학위를 수여한 모든 기관의 공식 성적증명서와 학위 수여 증빙을 제출해야 합니다.

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  Upload unofficial transcripts of your entire post-secondary academic record, including all undergraduate- and graduate-level institutions attended. Enrolling students must provide official transcripts for all degree-granting institutions and proof of degree conferral by Aug. 1.

• 추천서Letters of recommendation추천서 2개

  현재 학생이거나 최근까지 학생이었다면 추천서 1부는 교수, 강사 또는 TA에게 받아야 합니다. 현재 재직 중이라면 1부는 현재 또는 최근 상사에게 받아야 합니다. 나머지 1부는 지원자를 잘 알고 프로그램을 위한 준비 정도를 이야기해 줄 수 있는 사람이라면 누구에게 받아도 됩니다.

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  If you are currently or were recently a student, one recommendation should be from a professor, instructor, or TA; if you are currently working, one should be from a current or recent supervisor. The second may be from any person who knows you well and can speak to your preparedness for the program.

  추천서 2부. 추천인은 이메일 초대를 받아 온라인으로 제출합니다.

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  Two letters of recommendation. Recommenders receive an email invitation to submit electronically.

• GMAT not reviewed인정 안 함

  지원자를 종합적으로 평가할 때 다른 표준화 시험 점수(예: GRE, GMAT, MCAT)는 검토하지 않습니다.

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  We do not review other standardized test scores (i.e., GRE, GMAT, MCAT) in our holistic evaluation of applicants.

• GRE not reviewed인정 안 함

  지원자를 종합적으로 평가할 때 다른 표준화 시험 점수(예: GRE, GMAT, MCAT)는 검토하지 않습니다.

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  We do not review other standardized test scores (i.e., GRE, GMAT, MCAT) in our holistic evaluation of applicants.

• Duolingo English Test, IELTS 또는 TOEFL영어로 진행된 학위가 아니라면필수

  Duolingo English Test (DET): 입학 페이지에 따르면 인정되며, 기준은 총점 130(speaking 125, writing 130, reading 130, listening 125)입니다. 점수는 직접 기재(self-report)할 수 있으나, 등록하는 모든 학생은 공식 성적표를 제출해야 합니다. 지원 마감일 기준 2년 이내에 응시한 점수가 유효합니다. 프로그램 FAQ에는 TOEFL 또는 IELTS만 나와 있습니다: "그 밖의 모든 유학생 지원자는 지원서에 TOEFL 또는 IELTS 점수 중 하나를 직접 기재해야 합니다."

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  Accepted per the admissions page: 130 overall (speaking 125, writing 130, reading 130, listening 125). Scores may be self-reported; all enrolling students must submit an official score report. Valid if taken within two years of the application deadline. The program's FAQ lists only TOEFL or IELTS: "All other international applicants must self-report either a TOEFL or IELTS score on the application."

  IELTS: 학부 기관의 주된 수업 언어가 영어가 아니었다면 필수입니다(TOEFL, IELTS, DET 중 하나). 입학 페이지 기준 최저 점수는 총점 7.0(speaking 6.5, writing 6.5, reading 7.0, listening 7.0)입니다. 점수는 직접 기재(self-report)할 수 있으나, 등록하는 모든 학생은 공식 성적표를 제출해야 합니다. 지원 마감일 기준 2년 이내에 응시한 점수가 유효합니다.

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  Required if English was NOT the primary language of instruction at your undergraduate institution (one of TOEFL, IELTS or DET). Admissions page minimum: 7.0 overall (speaking 6.5, writing 6.5, reading 7.0, listening 7.0). Scores may be self-reported; all enrolling students must submit an official score report. Valid if taken within two years of the application deadline.

  TOEFL: 학부 기관의 주된 수업 언어가 영어가 아니었다면 필수입니다(TOEFL, IELTS, DET 중 하나). 최저 점수: 2026년 1월 21일 이전에 응시한 TOEFL은 총점 100(speaking 22, writing 22, reading 23, listening 23)입니다. 2026년 1월 21일 이후에 응시한 TOEFL은 총점 5(speaking 4, writing 4.5, reading 4.5, listening 5)입니다. 기관 코드는 B875입니다. 점수는 직접 기재(self-report)할 수 있으나, 등록하는 모든 학생은 공식 성적표를 제출해야 합니다. 지원 마감일 기준 2년 이내에 응시한 점수가 유효합니다.

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  Required if English was NOT the primary language of instruction at your undergraduate institution (one of TOEFL, IELTS or DET). Minimums: TOEFL taken prior to Jan. 21, 2026: 100 overall (speaking 22, writing 22, reading 23, listening 23). TOEFL taken after Jan. 21, 2026: 5 overall (speaking 4, writing 4.5, reading 4.5, listening 5). Institution code B875. Scores may be self-reported; all enrolling students must submit an official score report. Valid if taken within two years of the application deadline.

  면제 / 예외: 영어 시험 점수 요건은 학부 학위 과정이 영어로 진행된 경우에만 면제합니다. 영어로 진행된 대학원 학위나 시민권 상태를 근거로는 면제되지 않습니다.

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  We will only waive the English-language Test Score requirement if your undergraduate degree was taught in English. Not waived for graduate degrees taught in English or based on citizenship status.

• PTE Academic not listed인정 안 함

  명시되어 있지 않습니다. 입학 페이지에는 인정되는 영어 능력 시험으로 TOEFL, IELTS, Duolingo English Test(DET)가 나와 있습니다.

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  Not listed: the admissions page lists TOEFL, IELTS and the Duolingo English Test (DET) as the accepted English proficiency tests.

• 음성 답변Audio response (45 seconds)필수 · 지원서와 함께

  인터뷰 대신 질문 1개에 대한 음성 답변이 필수입니다(에세이 문항 참조). 영상이 아닌 음성입니다.

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  Required audio response to one question, in lieu of an interview component (see essay prompts). Audio, not video.

• 인터뷰 없음Interview not part of the process초대받으면

  아니요, 인터뷰는 지원 절차에 포함되지 않습니다.

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  No, an interview is not a part of the application process.

지원 자격

• Bachelor's degree필수

  Bachelor's degree earned prior to matriculation from a three- or four-year accredited institution; applicants from all undergraduate majors are welcome.

• Calculus II필수

  Single Variable Calculus (Calculus I and II). You can apply without all prerequisites, but they must be completed prior to matriculation; may be met with the Calculus for Data Scientists Boot Camp.

• Linear Algebra필수

  One of four prerequisites; must be completed prior to matriculation. May be met with the Linear Algebra for Data Scientists Bootcamp.

• Programming필수

  One of four prerequisites; must be completed prior to matriculation. May be met with the Python/R for Data Scientists Bootcamps.

• Statistics필수

  One of four prerequisites (introductory statistics); must be completed prior to matriculation.

• 에세이 1 · 필수Data Science is about solving the world’s most challenging and compelling problems. Tell us about a time when you worked on a team to solve a meaningful data-related challenge. What was the problem, what was your role in solving it, and what was the outcome?

  Data Science is about solving the world’s most challenging and compelling problems. Tell us about a time when you worked on a team to solve a meaningful data-related challenge. What was the problem, what was your role in solving it, and what was the outcome?

• 에세이 2 · 필수 · 250단어Excellence in data science requires collaboration; students and faculty succeed by working together and relying on one another. What about your background, perspective, or life experiences will enable you to contribute to our collaborative community?

  Excellence in data science requires collaboration; students and faculty succeed by working together and relying on one another. What about your background, perspective, or life experiences will enable you to contribute to our collaborative community?

• 에세이 3 · To apply for the REGARDS Genomics Concentration · 250단어Complete the subsequent short answer prompt (150-250 words) about why you wish to pursue the REGARDS Genomics Concentration and how it will help you reach your professional goals.

  Complete the subsequent short answer prompt (150-250 words) about why you wish to pursue the REGARDS Genomics Concentration and how it will help you reach your professional goals.

• 에세이 4 · 선택 · 250단어Optional: Use this space to provide insight and/or context regarding aspects of your application not otherwise addressed in the application, including, but not limited to, aberrant grades, gaps in your academic record or resume, or other extenuating circumstances.

  Optional: Use this space to provide insight and/or context regarding aspects of your application not otherwise addressed in the application, including, but not limited to, aberrant grades, gaps in your academic record or resume, or other extenuating circumstances.

• 에세이 5 · 필수 · 250단어What skills and/or knowledge do you want to gain from UVA’s M.S. in Data Science program to help you achieve your professional goals?

  What skills and/or knowledge do you want to gain from UVA’s M.S. in Data Science program to help you achieve your professional goals?

• 에세이 6 · To apply for the Sports Data Science concentration · 250단어Complete the subsequent short answer prompt (150-250 words) about a sports data science-related experience that deepened your interest in pursuing a career in the field.

  Complete the subsequent short answer prompt (150-250 words) about a sports data science-related experience that deepened your interest in pursuing a career in the field.