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  1. Programs
  3. Biostatistics

Biostatistics

University of Vermont

Master's DegreeAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

The program offers a concentration in biostatistics leading to the M.S. degree. Emphasis is placed on learning how to design studies and perform data analysis as the statistician in a research team. The curriculum takes full advantage of courses taught in the Statistics Program and includes potential experience in a variety of health, biomedical, natural resource and other research projects in the College of Medicine or other departments of UVM.

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Vermont

    Vermont

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1022.00

Skills

MathematicsSpeakingInstructingReading ComprehensionActive ListeningCritical ThinkingLearning StrategiesMonitoring

Knowledge

MathematicsEducation and TrainingEnglish LanguageComputers and Electronics

Abilities

Mathematical ReasoningOral ExpressionNumber FacilityOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningSpeech ClarityNear Vision

Tasks

  • Compile, administer, and grade examinations, or assign this work to others.
  • Evaluate and grade students' class work, assignments, and papers.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra,
  • Hire adjunct faculty.

Technology

Computer based training softwareData base user interface and query softwareCalendar and scheduling softwareWord processing softwareAnalytical or scientific software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllersInteractive whiteboardsLaptop computersLaser facsimile machines

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium25-1022.00Mathematical Science Teachers, Postsecondarytitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Master's Degree)

  • Mathematics program curriculum — lead the comprehensive design, evaluation, and reform of undergraduate and graduate mathematics curricula at the departmental or college level, aligning content with national standards and institutional strategic goals.
  • Faculty instructional development — mentor junior faculty and graduate teaching assistants in evidence-based pedagogical methods, providing structured feedback on teaching practice within a university mathematics department.
  • Examination and assessment policy — establish departmental standards and policies for assessment design, grading equity, and academic integrity across all course levels and instructors.
  • Scholarly course materials and textbooks — author or edit advanced instructional resources, including textbooks, open-access course notes, and problem sets, that contribute to the broader mathematical education community.
  • Graduate student mentorship — direct the academic and professional development of doctoral students, overseeing dissertation research, qualifying examinations, and career preparation in a research-intensive postsecondary environment.
  • Institutional curriculum governance — represent the mathematics department on university curriculum committees, advocating for program priorities and leading cross-disciplinary course articulation and policy decisions.
  • High-level classroom discourse — design and model transformative seminar and lecture formats that cultivate independent mathematical inquiry and scholarly habits of mind among advanced graduate students.
  • Strategic advising and outreach — build advising frameworks and student-support initiatives that improve retention and degree completion across the mathematics program, coordinating with institutional student success offices.
  • Technology and learning environment strategy — lead departmental adoption of analytical software platforms, online learning tools, and database systems to modernize mathematics instruction at scale.
  • Disciplinary leadership and knowledge dissemination — present pedagogical and mathematical research at national conferences, publish in peer-reviewed venues, and serve in editorial or leadership roles that advance the field of mathematical science education.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
58%
Placement Rate
84%