Program Overview
The A.S. Degree in Big Data Analytics for Business equips students with the skills to analyze big data and make informed business decisions. The program covers data integration, processing, modeling, mining, and analytics, using frameworks, tools, and programming languages. Students will gain proficiency in Python and database management, preparing them for careers in data science, data analysis, and big data.
Program Outline
Degree Overview:
The A.S. Degree in Big Data Analytics for Business is designed for individuals with industry experience, such as returning CIS, business, marketing, and data analytics professionals, or students who have completed CIS courses. The program aims to provide students with the knowledge and skills necessary to secure employment in fields like data science, data analysis, big data, and data mining. The program focuses on:
- Making business decisions based on big data analysis.
- Understanding the processes of data integration, processing, modeling, mining, and analytics.
- Utilizing frameworks, tools, services, and programming languages for data analysis.
Outline:
Required Courses:
| Course Prefix | Course Name | Units | |--------------|-------------------------------------------------|-------| | CISB | 11 Computer Information Systems | 3.5 | | CISD | 41 Introduction to Data Science | 3.5 | | CISD | 42 Big Data Integration and Processing | 3.5 | | CISD | 43 Big Data Modeling and Analysis | 3.5 | | CISP | 71 Programming in Python | 3 | | CISP | 71L Programming in Python Laboratory | 0.5 | | MATH | 110 Elementary Statistics | 3 | | | or MATH 110H Elementary Statistics - Honors | | | | Choose two of the following options: | 3.5 | | CISD | 21 Database Management - Microsoft SQL Server | | | CISD | 21L Database Management - Microsoft SQL Server Laboratory | | | | or | | | CISD | 31 Database Management - Oracle | |
Other:
- The program is offered by the Business Division at Mt. San Antonio College.
- Students will learn how to process, integrate, model, mine, and analyze big data.
- Students will gain proficiency in using frameworks, tools, services, and programming languages for data analysis.
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