MS Data Science at University of Oregon

Programme overview

A Master of Science preparing students to use data to make positive change, covering the full workflow from data sourcing to outcome evaluation and communication, with teamwork skills. Students come from varied academic and professional backgrounds.

Faculty: College of Arts and Sciences | Department: School of Computer and Data Sciences | Duration: As little as one year | Location: Eugene, OR, United States

What you will study

45 credits: six core courses (Data Access and Management, Data Mining Exploration and Visualization, Statistics for Data Science, Machine Learning I and II, Data Ethics), three electives and at least 9 credits of research, internship or a synthetic project capstone. Major courses need B- or better.

Official programme page

Application information

Entry requirements

University of Oregon graduate applicants: a bachelor's degree from a regionally accredited US institution or an equivalent recognised international credential, completed before the first day of classes; GPA, test and prerequisite requirements are set by each programme. International applicants whose degree does not qualify for the English exemption need TOEFL iBT 88, IELTS 7.0 overall or Duolingo English Test 120 (scores under two years old; some programmes require higher).

Requirements published at program group level.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Each graduate programme sets its own application deadlines and required materials.

Graduate application fee: $70 for domestic applicants and $90 for international applicants for degree-seeking programmes (doctoral, master's, graduate certificate); paid online by Visa, Mastercard or Discover when applying. Graduate Microcredential application fee is $35. Applications are submitted through the graduate application portal.

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