Data Analytics Certificate Program

Certificate Professional Studies - Computer Information Technology

Current students - log in to BHCC Self-Service to review the most accurate program requirements for your catalog year, or contact Advising & LifeMap for more information. Prospective students - go to bhcc.edu/admissions and contact an admissions counselor.

Semester 1	Credits	Milestone	GenEd	Note	Pre-req	Expand
CIT-113 Information Technology Problem Solving	3
Milestone courses should be taken in the order shown. Prerequisites: ESL-098 or RDG-095 or ELL-103 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 1 Advising Note:

Semester 2	Credits	Milestone	GenEd	Note	Pre-req	Expand
CSC-236 SQL Programming	3
Milestone courses should be taken in the order shown. Prerequisites: CIT-110 or CIT-113 or CSC-120 or CMT-125 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 CSC-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 CSC-120 or Chair approval
CIT-268 Operating Systems	3
Milestone courses should be taken in the order shown. Students who have passed ESL-098 may register for CIT-268 Prerequisites: ELL-103 or RDG-095 or exemption by placing into higher level course
Total Credits:
Semester 2 Advising Note:

Semester 3	Credits	Milestone	GenEd	Note	Pre-req	Expand
CSC-125 Python Programming	3
Milestone courses should be taken in the order shown. Prerequisites: RDG-095 and ENG095, or ELL-103, and MAT099, or equivalent.
CIT-187 Data Analytics and Predictive Analysis	3
Milestone courses should be taken in the order shown. Prerequisites: CIT-137 and MAT-181
CSC-240 Database Programming	3
Milestone courses should be taken in the order shown. Prerequisite: CSC-236
Total Credits:
Semester 3 Advising Note:

Last Modified Date: February 3, 2022

Approved for the 2021-2023 College Catalog

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.