BZAN 8067 Machine Learning & Artificial Intelligence

This course builds on Data Analytics 1 to provide students with advanced tools and skills forMachine learning (ML) in business practice. On the technical side, the course content extends to a wider range of algorithms as well as advanced methods for data sampling and model building and evaluation. More depth in application comes from student reports on current events in Machine Learning, and a course project that involves complete model construction and analysis for an actual business problem with an actual corporate data set. The course assumes the student has experience with the basic machine learning algorithms and the R codinglanguage. STEM-designated.

Course overview

Department
Business Analytics
School
CSOM
Credits
3
Level
Graduate
Offered
Every Fall, Every Spring

Catalog details

Prerequisites
BZAN7703 and BZAN7706 or BZAN7716

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Course evaluations

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

Course rating
4.17 / 5 · Very Good
189 responses
Instructor rating
4.41 / 5 · Very Good
189 responses
Terms evaluated
8
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 2026Pieter Vanderwerf4.34.64.74.84.74.74.64.64–6 hrs/week31 of 34
Fall 2025Pieter Vanderwerf4.24.64.84.74.44.44.34.11–3 hrs/week15 of 17
Spring 2025Pieter Vanderwerf4.14.34.74.74.64.54.54.44–6 hrs/week34 of 39
Fall 2024Pieter Vanderwerf4.24.54.74.74.54.74.84.74–6 hrs/week13 of 14
Spring 2024Pieter Vanderwerf4.24.64.74.64.64.64.54.54–6 hrs/week38 of 42
Fall 2023Pieter Vanderwerf—————————19 of 21
Fall 2022Pieter Vanderwerf4.74.74.84.84.64.54.64.61–3 hrs/week22 of 26
Fall 2021Merve Unuvar2.62.93.73.83.03.23.13.3≤ 1 hr/week17 of 31

Data freshness

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

Instructors

  • Merve Unuvar
    Fall 2021 · Official rating 2.88/5
  • Pieter Vanderwerf
    Spring 2027, Fall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024, Fall 2023, Fall 2022 · Official rating 4.57/5

Sections

  • Section 01
    Spring 2027 · Pieter Vanderwerf · On-line Asynchronous · Offered
  • Section 01
    Fall 2026 · Pieter Vanderwerf · Fulton Hall 245 M 07:00PM-09:30PM · Offered