BZAN 7707 Data Analytics 2: Data Management for Analytics

Information Technology (IT) and Data Analytics now permeate the strategy, structure, and operations of modern enterprises, and new business practices have led to an orders of magnitude increase in the amount of data available for analysis and decision-making. It is essential that managers develop a deep understanding of how data can be structured, captured, and queried in order to support operations, decision-making, and strategic insight. At the same time, managers must become fluent with IT so that they can promote innovative strategic initiatives that are increasingly data and IT dependent. In this course, students will develop an understanding of IT theory and practice, study key emerging technologies, and develop their ability to identify new opportunities made possible by IT. This course will also provide students with a deep understanding of data and analytics by exploring how business processes are analyzed, data is modeled (using entity relationship diagrams), databases are designed, and data is queried using SQL. This combination of theory and practice will allow students to develop their ability to identify and take advantage of the new opportunities now made possible by data analytics and Information Technology. The on-campus section of this course (BZAN7707) will meet weekly on campus. Please note that the online asynchronous section of this course will also include two or three synchronous web conferences during the semester. Please review the course syllabus for the schedule for these web conferences, or contact the instructor. STEM-designated This course was formerly numbered: ISYS7700

Course overview

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

Course evaluations

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

Course rating
3.79 / 5 · Very Good
184 responses
Instructor rating
4.18 / 5 · Very Good
184 responses
Terms evaluated
5
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 2026Leonard Evenchik3.54.04.04.04.64.14.24.14–6 hrs/week34 of 37
Fall 2025Leonard Evenchik3.94.34.44.54.44.34.34.27–9 hrs/week45 of 59
Summer 2025Leonard Evenchik4.14.34.54.44.84.54.33.810+ hrs/week16 of 21
Spring 2025Leonard Evenchik3.74.14.24.24.34.24.24.24–6 hrs/week43 of 45
Fall 2024Leonard Evenchik3.94.24.34.44.54.24.44.24–6 hrs/week46 of 53

Data freshness

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

Instructors

  • Leonard Evenchik
    Spring 2027, Fall 2026, Summer 2026, Spring 2026, Fall 2025, Summer 2025, Spring 2025, Fall 2024 · Official rating 4.18/5

Sections

  • Section 01
    Spring 2027 · Leonard Evenchik · Fulton Hall 250 Th 07:00PM-09:30PM · Offered
  • Section 02
    Spring 2027 · Leonard Evenchik · On-line Asynchronous · Offered
  • Section 02
    Fall 2026 · Leonard Evenchik · On-line Asynchronous · Offered
  • Section 01
    Summer 2026 · Leonard Evenchik · On-line Asynchronous · Offered