Data Analytics & AI, Bachelor of Applied Science (AA Graduate)
Career Pathway: Science, Technology, Engineering, and Math
Location(s): Courses for this program are offered at all BC locations. This program is also offered fully online.
Program Description: The Bachelor of Applied Science Degree in Data Analytics & AI provides individuals who hold an Associate degree the opportunity to further their education. It equips students with the skills to extract valuable insights from data, translate them into compelling visuals, and leverage machine learning techniques for informed decision-making. The program prepares students for data analyst positions in various industries. Through a blend of coursework and hands-on labs, you'll gain expertise in: Data Fundamentals, Databases and SQL, Data Visualization, Statistics and Probability, and AI in Business Data.
Special Admissions Requirement for BAS Program: A supplemental application is required for this program. You can complete the application online here.
Foreign Language Requirement: Students must successfully complete the foreign language requirement as prescribed in college policy and the college catalog. You can find further information on the foreign language requirement here.
General Education Courses: Will vary based on a student’s transcript. Total General Education credits must total 36 as outlined here.
Program Competency: Once admitted, students must complete 17 credits of program competencies during their beginning semesters. Program competency courses are pre-requisites to all program courses.
Course | Title | Credits |
---|---|---|
CGS1510C | EXCEL DATA ANALYSIS | 3 |
COP1000C | INTRODUCTION TO COMPUTER PROGRAMMING | 3 |
COP2071C | SQL FUNDAMENTALS | 4 |
COP2044C | MACHINE LEARNING WITH PYTHON | 4 |
CAP2788C | DATA+ | 3 |
Course | Title | Credits | 4290 | 4291 |
---|---|---|---|---|
Course CGS1510C | Title EXCEL DATA ANALYSIS1 | Credits 3 | 4290 X | 4291 |
Course COP1000C | Title INTRODUCTION TO COMPUTER PROGRAMMING1 | Credits 3 | 4290 | 4291 |
Course STA2023 | Title STATISTICS | Credits 3 | 4290 | 4291 |
Course COP2044C | Title MACHINE LEARNING WITH PYTHON1 | Credits 4 | 4290 | 4291 |
Course COP2071C | Title SQL FUNDAMENTALS1 | Credits 4 | 4290 | 4291 |
Course CAP2788C | Title DATA+1 | Credits 3 | 4290 X | 4291 |
Course ISM3212C | Title DataSys+ | Credits 3 | 4290 X | 4291 X |
Course CAI3012C | Title MACHINE LEARNING WITH PYTHON II | Credits 4 | 4290 | 4291 |
Course CAP3321C | Title DATA WRANGLING | Credits 3 | 4290 | 4291 |
Course CIS3361C | Title CYSA+ | Credits 3 | 4290 | 4291 |
Course ISM3545C | Title DATA ANALYTICS | Credits 3 | 4290 X | 4291 |
Course ISM4201C | Title APPLIED DATA INTEGRATION AND MANIPULATION | Credits 3 | 4290 X | 4291 |
Course ISM4415C | Title DATA REPORTING | Credits 4 | 4290 X | 4291 |
Course ISM4547C | Title DATA VISUALIZATION | Credits 3 | 4290 X | 4291 |
Course CAP4612C | Title ARTIFICIAL INTELLIGENCE FOR BUSINESS | Credits 4 | 4290 X | 4291 |
Course CAP4755C | Title DATAX | Credits 3 | 4290 | 4291 |
Course CAI4805C | Title ARTIFICIAL INTELLIGENCE FOR DATA | Credits 4 | 4290 | 4291 |
Course BAS Elective Course | Title ISM4940 or Elective2 | Credits 3 | 4290 | 4291 |
Total Credits | 60 | 4290 26 | 4291 30 |
- 1
If the course has already been successfully completed, students may take an upper level (UL) course beginning with CAP, CET, CIS, CNT, COP, CTS, ISM.
- 2
Elective - An IT internship is recommended.
Notes: See General Education course information here.
Students must satisfy the Digital Literacy requirement by testing out, completing a Credit for Prior Learning portfolio, or passing CGS1060C COMPUTER AND INTERNET LITERACY.
In accordance with Florida Statute and Florida Administrative Code, students may need to satisfy the Civic Literacy Graduation Requirement. Visit the Civic Literacy Graduation Requirement page at broward.edu/civic-literacy.
Students are strongly encouraged to meet with an advisor to create a personalized educational plan.
PROGRAM HIGHLIGHTS
CREDIT FOR PRIOR LEARNING
Accelerate your path to completion with these options:
- Credit by exam
- Prior Learning Assessment
- Earned industry certifications
- And much more…
RELATED INDUSTRY CERTIFICATIONS
Upon completing this program, graduates will be eligible to sit for the following industry certifications/licenses:
- Microsoft Analyzing Data with Power BI
- CompTIA Data +
- PMI Project Management Professional (PMP)
- Certified Associate Project Manager (CAPM)
GET AN INTERNSHIP
After completing your first year of coursework make sure to visit Employment Solutions for internship opportunities and helpful tools like virtual job shadow, to help take your career to the next level!
MEDIAN WAGE AND JOB GROWTH OUTLOOK
Broward College has Career Coach! It is designed to help you find a good career by providing the most current local data on wages, employment, job postings, and associated education and training.
FUND YOUR EDUCATION
This Program is Financial Aid eligible. Scholarships may be available. This program is part of the Career Source Broward ITA List.
PROGRAM LEARNING OUTCOMES
Graduates from this program will:
-
- Graduates will be able to build dashboards to visualize and analyze data and\\napply data analysis to the business decision-making process.
- Graduates will be able to read, format, manipulate and analyze various\\ndata types.
- Graduates will summarize the properties of a project and classify project roles and responsibilities.
- Graduates will be able to create a unified Extract-Transform-Load data flow to integrate data from various sources and to prepare data for complex analysis. This is measured in Assignment 6: The Output Step.
- Graduates will be able to identify the role of Artificial Intelligence and Machine Learning in Technology and some important applications.
Course | Title | Credits |
---|---|---|
CGS1510C | EXCEL DATA ANALYSIS 1 | 3 |
COP1000C | INTRODUCTION TO COMPUTER PROGRAMMING 1 | 3 |
STA2023 | STATISTICS | 3 |
COP2044C | MACHINE LEARNING WITH PYTHON 1 | 4 |
COP2071C | SQL FUNDAMENTALS 1 | 4 |
CAP2788C | DATA+ 1 | 3 |
ISM3212C | DataSys+ | 3 |
CAI3012C | MACHINE LEARNING WITH PYTHON II | 4 |
CAP3321C | DATA WRANGLING | 3 |
CIS3361C | CYSA+ | 3 |
ISM3545C | DATA ANALYTICS | 3 |
ISM4201C | APPLIED DATA INTEGRATION AND MANIPULATION | 3 |
ISM4415C | DATA REPORTING | 4 |
ISM4547C | DATA VISUALIZATION | 3 |
CAP4612C | ARTIFICIAL INTELLIGENCE FOR BUSINESS | 4 |
CAP4755C | DATAX | 3 |
CAI4805C | ARTIFICIAL INTELLIGENCE FOR DATA | 4 |
BAS Elective Course | ISM4940 or Elective 2 | 3 |
Total Credits | 60 |