Pathway Requirements

Coursework (Four Courses)

Students will complete four courses, with at least one course from three of the following skill fields. Student must complete courses from at least two different divisions:

These courses offer instruction on introductory to intermediate methods and techniques of statistical analysis that can be applied to a variety of fields and disciplines. Coursework in this skill field has students practice skills in experimental design, data collection and interpretation, and analytical decision-making relative to their intended discipline.

  • BIOL 20300 – Research Skills in Biology*
  • DATA 23100 – Applied Statistical Methods*
  • ESCI 29901 – Statistics for Earth Sciences
  • MATH 10200 – Introduction to Statistics (MNS)
  • ECON 11000 – Quantitative Methods*
  • ECON 21000 – Ecônmetrics*
  • PSCI 40101 – Research Methods and Design
  • PSYC 25000 – Intro to Statistics and Experimental Design*
  • SOAN 34100 – Social Statistics*

*Course has pre-requisite or requires instructor permission to register

These courses encourage students to make practical connections between data sciences and applied technology. Coursework in this skill field will assist students in practicing skills in programming, computing, modelling, and/or problem-solving.

  • CSCI 10000 – Scientific Computing
  • CSCI 10200 – Multimedia Computing
  • CSCI 11000 – Imperative Problem Solving*
  • CSCI 12000 – Data Structures and Algorithms*
  • DATA 10600 – Introduction to Data Science
  • DATA 32500 – Applied Data Science*
  • MATH 22300 – Graph Theory & Combinatorics

*Course has pre-requisite or requires instructor permission to register

These courses provide insight into how data are communicated and visualized in a wide range of forms. Students in this skill field may receive introductions to foundations and techniques of information visualization, explore dynamics of effective communication, and practice producing and visual statements to communicate data insights.

  • ARTS 15700 – Introduction to 2D Design and Color
  • ARTS 17100 – Introduction to Digital Imaging*
  • COMM 23700 – Visual Rhetoric*
  • COMM 22500 – Small Group Communication
  • COMM 33200 – Visual Communication*
  • DATA 20100 – Data Visualization*
  • ESCI 25000 – Introduction to GIS
  • GMDS 23100 – Visualizing Information
  • HIST 20207 - Visualizing Information* (Workshop)

*Course has pre-requisite or requires instructor permission to register

These courses have students practice skills and techniques in data, computing, and/or research in order to more deeply explore their intended discipline or prospective career field(s).

  • BIOL 34500 – Computational Biology*
  • COMM 35300 – Quantitative Methods*
  • CSCI 31000 – Machine Intelligence*
  • CSCI 23200 – Software Engineering-Databases*
  • EDUC 31000 Assessment & Intervention in Teaching Reading*
  • EDUC-26000 Curriculum: Math/Science/Social Studies in the Early Childhood Years*
  • EDUC-32000 Advanced Methods & Assessment in Langauge Arts, Integrated Mathematics, or Integrated Social Studies*
  • MATH 22900 – Probability Theory*
  • MATH 32900 – Statistical Theory*
  • PHIL 22000 – Logic and Philosophy
  • PHYS 23000 – Computational Physics*
  • PSCI 21900 – Public Opinion and Voting Behavior

*Course has pre-requisite or requires instructor permission to register

Experiential Learning Opportunities (One Experience)

Approved experiences should (1) directly integrate classroom theories and principles with situational real-world analysis, decision-making, and communication; and (2) foster soft-skills, such as listening, presentation, public speaking, verbal communication, visual communication, and writing skills. These could include:

  • Project-based/Problem-based Learning (Examples: AMRE; Pathways Assistant; Sophomore Research; Significant course EL projects (with either on- or off-campus partners); Policy Academies Program)
  • Internships (on- or off-campus)
  • Service-oriented Activities (Examples: Volunteer work; Leadership roles in clubs and organizations)

Reflection

  • Reflections guide students to articulate meaningful connections between the skills and knowledge they are gaining and the experiences in their coursework, experiential learning opportunities and career goals.
  • Reflections take place along five points in the pathway:
    • First Reflection Touchpoint: At the Start of the Pathway
      • The first opportunity to reflect is when the student declares their Pathway.  Responses to prompts asked at this moment establish a baseline from which student moves forward.
    • Second Reflection Touchpoint: An Opportunity to Investigate
      • This is an opportunity for students to dig deeper to articulate what they are learning along the Pathway in classes and about experiential learning options related to the interests they shared in the first reflection.   It is also a point at which to prepare for experiential learning/career exploration.
    • Third Reflection Touchpoint: Before Experiential Learning Opportunity
      • This reflection takes place as a student is learning about experiential learning opportunities related to their pathway.
    • Fourth Reflection Touchpoint: After Experiential Learning Opportunity
      • This reflection takes place after the student has completed an experiential learning opportunity and asks them to consider how the work they have done connects with their pathway.
    • Fifth Reflection Touchpoint: At the End of This Pathway - and the Start of New Ones
      • At this touchpoint, students engage with questions that help them build connections between theory and practice, their career goals, and how they plan to extend their Pathway beyond Wooster.