MESA 8418 Capstone in Applied Data Science I

In Practicum I and II, students will complete a significant data science research project that requires executing learned skills in problem framing, problem-solving, and visualization. While working with a faculty member and internal and/or external partners, students will be responsible for identifying questions to investigate, data sources, and applying analytical techniques. Students will prepare a written report of their results and deliver a presentation to faculty and partners. The project synthesizes the statistical and computational challenges of solving complex real-world problems with social issues. The course activities focus on a two-semester-length data science project supervised by a faculty member and in collaboration with Boston College and/or external partners. At the conclusion of these capstone projects, students will have accumulated hands-on experience working with clients, applying methods, and developing materials and presentations that can be shared with others.

Course overview

Department
Measurement, Evaluation, Statistics, and Assessment
School
Lynch
Credits
3
Level
Graduate
Offered
Annually

Course evaluations

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

Course rating
3.71 / 5 · Very Good
7 responses
Instructor rating
4.43 / 5 · Very Good
7 responses
Terms evaluated
1
Most recent: Spring 2026

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
Spring 2026Emma M Klugman3.74.44.03.94.34.34.63.47–9 hrs/week7 of 9

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
    Spring 2027 · Emma M Klugman · Th 07:00PM-08:30PM · Offered