Data Analytics, Associate of Science
Career Pathway: Science, Technology, Engineering, and Math
Location(s): General Education courses are offered at all BC locations. Program specific courses are offered at the A. Hugh Adams Central Campus. This program is also offered fully online.
Program Entrance Requirements: HS Diploma or GED
Program Description: This degree will equip 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 entry-level data analyst positions in various industries. Through a blend of coursework and hands-on labs, you'll gain expertise in:
- Data Fundamentals: Learn core data analysis concepts including data collection, cleaning, manipulation, and storage.
- Databases and SQL: Master querying relational databases using SQL, the essential language for interacting with structured data.
- Data Visualization: Develop proficiency in creating clear, informative, and impactful data visualizations using tools like Tableau, Power BI, or other industry-standard software.
- Statistics and Probability: Gain a solid foundation in statistical methods used for data analysis, hypothesis testing, and drawing meaningful conclusions.
- Machine Learning Fundamentals: Explore core machine learning concepts like supervised and unsupervised learning algorithms, model building, and evaluation.
- Programming Languages: Develop practical skills in programming languages like Python or R, essential tools for data manipulation, analysis, and machine learning.
- Data Communication: Hone your communication skills to effectively present data insights and recommendations to both technical and non-technical audiences.
Benefits of the Program:
- Career-Focused Curriculum: The program focuses on practical skills and tools that are in high demand by today's employers in data analytics.
- Industry-Standard Software: Learn how to use industry-standard software for data analysis, visualization, and machine learning.
- Preparation for Further Education: This degree can serve as a steppingstone towards our bachelor's degree in data Analytics.
- Enhanced Job Prospects: Gain the skills and knowledge to pursue data analyst, business intelligence specialist, or entry-level data scientist positions.
- Data Analyst II, Technical Certificate 6379
- Data Analytics, Associate of Science 2208
- Bachelor of Applied Science
| Course | Title | Credits |
|---|---|---|
| ENC1101 | COMPOSITION I | 3.00 |
| GE Course | General Education Speech | 3.00 |
| MAC1105 | COLLEGE ALGEBRA 1 | 3.00 |
| or MGF1131 | MATHEMATICS IN CONTEXT | |
| GE Course | General Education Humanities Core | 3.00 |
| AMH2010 | HISTORY OF THE UNITED STATES TO 1877 | 3.00 |
| or AMH2020 | HISTORY OF THE UNITED STATES SINCE 1877 | |
| or POS2041 | NATIONAL GOVERNMENT | |
| GE Course | General Education Natural Science Core | 3.00 |
| CGS1060C | COMPUTER AND INTERNET LITERACY | 3.00 |
| COP1000C | INTRODUCTION TO COMPUTER PROGRAMMING | 3.00 |
| CGS1510C | EXCEL DATA ANALYSIS | 3.00 |
| COP1700C | INTRODUCTION TO DATABASE AND MYSQL | 3.00 |
| GIS1040C | INTRODUCTION TO GEOGRAPHIC INFORMATION SYSTEMS I | 3.00 |
| COP2071C | SQL FUNDAMENTALS | 4.00 |
| STA2023 | STATISTICS | 3.00 |
| CAP2788C | DATA+ | 3.00 |
| CAP2787C | DATA WAREHOUSE AND DATA MINING FUNDAMENTALS | 3.00 |
| COP2044C | MACHINE LEARNING WITH PYTHON | 4.00 |
| ISM2410C | ANALYZING AND VISUALIZING DATA WITH POWER BI | 4.00 |
| ISM2139C | ADVANCED DATA VISUALIZATION WITH EXCEL | 3.00 |
| Elective | Math or Internship or IT Elective 2 | 3.00 |
| Total Credits | 60 | |
- 1
If a student places into MAC1105C COREQUISITE COLLEGE ALGEBRA instead of MAC1105, please note MAC1105C is a 5-credit course. Students who register for MAC1105C must see an advisor to discuss their academic plan.
- 2
Any course with a computing prefix.
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:
- CompTIA Data+
- MOS Excel Expert
- CIW Database Design
- Microsoft MCSA BI Reporting
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
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Fund Your Education
Scholarships may be available.
Program Learning Outcomes
Graduates from this program will:
- Learn core data analysis concepts including data collection, cleaning, manipulation, and storage.
- Master querying relational databases using SQL, the essential language for interacting with structured data.
- Develop proficiency in creating clear, informative, and impactful data visualizations using tools like Tableau, Power BI, or other industry-standard software.
- Hone your communication skills to effectively present data insights and recommendations to both technical and non-technical audiences.
- Gain a solid foundation in statistical methods used for data analysis, hypothesis testing, and drawing meaningful conclusions.
- Explore core machine learning concepts like supervised and unsupervised learning algorithms, model building, and evaluation.
- Develop practical skills in programming languages like Python or R, essential tools for data manipulation, analysis, and machine learning.