MCIS 2200 Data Visualization

This course covers foundations of data visualization and best practices to help students effectively analyze data and present their insights clearly in a way that will engage their audience. The course provides discussions and presentations on topics such as visual perception, the various chart types and when to use them, the effective use of colors, typography, maps, and other visualization techniques for incorporating analytics and storytelling, and teaches through many examples of compare and contrast. The conceptual discussions will be integrated with hands-on experience using Tableau. STEM-designated.

Course overview

Department
Messina College
School
MCBC
Credits
3
Level
Undergraduate
Offered
Every Spring

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.50 / 5 · Excellent
4 responses
Instructor rating
4.25 / 5 · Very Good
4 responses
Terms evaluated
1
Most recent: Fall 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Fall 2025Nam Wook Kim4.54.34.84.53.74.34.84.31–3 hrs/week4 of 6

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Nam Wook Kim · Administration Building 111 MW 10:00AM-11:15AM · Offered
  • Section 02
    Fall 2026 · Nam Wook Kim · Ashby Hall 114 M 05:00PM-05:50PM · Offered