Program Overview
The Big Data Analytics Certificate at Mt. San Antonio College is a 10.5-unit program designed for professionals and students with industry experience or CIS coursework. It equips learners with the knowledge and skills to pursue careers in data science, data analysis, Big Data, and data mining. The program emphasizes practical application and covers various aspects of Big Data, including data science fundamentals, integration and processing, and modeling and analysis.
Program Outline
Degree Overview:
The Big Data Analytics Certificate (M0452) at Mt. San Antonio College is a 10.5-unit program designed for returning professionals with industry experience or students who have completed CIS courses. It equips students with the knowledge and skills to pursue careers in data science, data analysis, Big Data, and data mining.
Objectives:
- Develop business decision-making abilities based on large data analysis.
- Gain expertise in processing, integrating, modeling, mining, and analytics related to Big Data.
- Master frameworks, tools, services, and programming languages for data analysis.
Program Description:
The program emphasizes practical application and focuses on providing students with the skills needed to work effectively in the field of Big Data Analytics. It covers various aspects of Big Data, including:
- Data Science Fundamentals: Covers the foundations of data science, including data collection, cleaning, and analysis.
- Big Data Integration and Processing: Focuses on techniques and technologies for integrating and processing large datasets.
- Big Data Modeling and Analysis: Explores methods and tools for building models and analyzing data to derive insights and predictions.
Careers:
The Big Data Analytics Certificate prepares students for careers in:
- Data Scientist
- Data Analyst
- Big Data Engineer
- Data Miner
Other:
The program is part of the Business Division at Mt. San Antonio College and is recommended for students with a background in CIS or business-related fields. It provides a valuable skillset for professionals seeking to advance their careers in the growing field of data analytics.
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Language Proficiency Requirements:
English Language Proficiency:
- A good level of English language is required to be able to follow the content.
- No specific language test scores are mentioned as a requirement for this course.
Additional Notes:
- It is recommended that any potential applicants whose first language is not English check with the course leader to ensure they have the necessary language skills to succeed in this course.
Overall Summary:
- The entry requirements for this course are relatively open, with no formal academic qualifications required.
- However, a good level of English language proficiency is essential.
