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2024-2025 Academic Catalog

Data Analytics with Al Integration, Technical Certificate of Credit

Overview

Offered at the Augusta Campus and fully online.

Entrance Dates: Fall, Spring, and Summer
Length of Program: Two Terms
Credit Hours Required for Graduation: 28

Program Description: The Data Analytics with AI Integration TCC includes occupational and specialized courses designed to target both business and computer programming majors to learn how AI can be used to help an organization make decisions. It prepares students to become data analysts. A data analyst is an interdisciplinary approach which uses scientific methods, processes, algorithms, and systems to extract insights from data. He/she collects, manipulates, analyzes, and presents their analysis to decision makers.

Employment Opportunities: According to bls.gov, the job outlook is expected to grow 35% by 2032. With artificial intelligence leading a new revolution, this career path is only expected to grow. A local search with keywords business analyst or data analytics in the title, showed over thirty jobs in the Augusta area. 

 

Curriculum Outline

Occupational Courses, 28 credits

BUSN 1470PROFESSIONAL COMMUNICATION SKILLS

3

BUSN 2130EXPERT SPREADSHEET ANALYSIS

3

CIST 2330ARTIFICIAL INTELLIGENCE I

4

CIST 2742BEGINNING PYTHON PROGRAMMING

4

CIST 2747PYTHON PROGRAMMING II

4

 

MATH 1103QUANTITATIVE SKILLS AND REASONING

3

OR

MATH 1127INTRODUCTION TO STATISTICS

3

 

ACCT 1100FINANCIAL ACCOUNTING I

4

OR

MKTG 1100PRINCIPLES OF MARKETING

3

Notes:

  • A grade of “C” or higher is required for all courses.

Guided Pathway

You may click on any course below to view the course description and prerequisite information.

Students who do not follow the Course Sequence listed below may not be able to complete the program in the number of semesters shown.

Fall, Spring, and Summer Entrance

PROGRAM NAME: Data Analytics with AI Integration

AWARD: Technical Certificate of Credit

LOCATION: Augusta Campus and Fully Online

SCHEDULE TYPE: Day and Online

Year 1 Semester 1

BUSN 2130EXPERT SPREADSHEET ANALYSIS

3

CIST 2742BEGINNING PYTHON PROGRAMMING

4

 

MATH 1103QUANTITATIVE SKILLS AND REASONING

3

OR

MATH 1127INTRODUCTION TO STATISTICS

3

 

MKTG 1100PRINCIPLES OF MARKETING

3

OR

ACCT 1100FINANCIAL ACCOUNTING I

4

Year 1 Semester 2

BUSN 1470PROFESSIONAL COMMUNICATION SKILLS

3

CIST 1220STRUCTURED QUERY LANGUAGE

4

CIST 2330ARTIFICIAL INTELLIGENCE I

4

CIST 2747PYTHON PROGRAMMING II

4