ACP Data Science

Overview

Data Science is continually ranked as one of the most in-demand professions. The need for professionals who can manage and leverage insights from data is clearer than ever before. 

The curriculum taught in this ACP Data Science program from University of California, Irvine (UCI)  is designed to meet the expanding multi-disciplinary needs for data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects. Topics covered include data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python programming, and machine learning.

Benefits

• Utilize technical techniques to deliver insight and business intelligence
• Apply mathematical concepts including probability, inference, and modeling to practical data project application
• Describe and use industry-standard tools and technologies required to model and analyze big datasets
• Utilize the data modeling approach to make optimal business decision
• Implement machine learning algorithms
• Apply text analytics tools to unstructured and structured data sets
• Develop and implement a data warehouse plan

• Gain a competitive edge in the global job market through an internship in a U.S. company

Internships

As an optional last course and for an additional fee of $2,900, you have the opportunity to apply academic theory and gain practical experience in a variety of businesses and industries for 10 weeks. A research project provides additional training. Also included in the internship are the Résumé Writing and Interviewing Skills workshop.