Bunker Hill Community College

Bunker Hill Community College

Data Analytics Certificate Program

Certificate Professional Studies - Computer Information Technology

The information below applies to students entering the program in fall 2019. Current students - log in to BHCC Self-Service to review the most accurate program requirements for your catalog year, or contact LifeMap/Advising for more information. Prospective students - go to bhcc.edu/admissions and contact an admissions counselor.
Semester 1 Credits Milestone GenEd Note Pre-req
CIT-113 Information Technology Problem Solving
3

Milestone courses should be taken in the order shown.

Prerequisites: ESL-098 or RDG-095 or placement

MAT-181 Statistics
3

Milestone courses should be taken in the order shown.

Prerequisites: MAT-097 or MAT-098 or placement

Total Credits:
Semester 2 Credits Milestone GenEd Note Pre-req
CIT-236 SQL Programming
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-137 Introduction to Big Data with R and R Studio
4

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair Approval

CIT-234 Decision Support Using Microsoft Excel
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-268 Windows Operating Systems
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

Total Credits:
Semester 3 Credits Milestone GenEd Note Pre-req
CIT-125 Python Programming
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-187 Data Analytics and Predictive Analysis
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-137 and MAT-181

CIT-240 Database Programming
3

Milestone courses should be taken in the order shown.

Prerequisite: CIT-236

Total Credits:
Last Modified Date: April 22, 2019

Upon Completion of this Concentration Graduates will be able to:

  • Design and code complex queries in SQL and PSQL
  • Demonstrate the use of procedures, cursors, triggers, collections, and manipulation of tables
  • Utilize existing databases, and convert the data into analyzable formats in R and Python
  • Demonstrate the use of Pandas and scikit-learn libraries in Python
  • Design basic algorithms associated with machine learning such as CART and Regression in R

Career Outlook

Students who complete this program will be prepared for internships and entry-level data analysis positions in a wide variety of companies and organizations.