The Certificate in Data Science is intended for students who possess a Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) field, but who lack sufficient background in Data Science to be admitted to the Master of Science in Data Science.

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 program is designed to meet the expanding multi-disciplinary needs of 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. UC Irvine’s 3-month post-graduate level Accelerated Certificate Program (ACP) in Data Science covers a wide array of topics in data science including 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, and machine learning.

This Data Science Certificate, a self-paced program is designed to help students learn the principles of data science. The curriculum provides students with knowledge of key technologies including R, Python, and Tableau. Learning from industry-recognized authors and consultants, participants gain an understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, KNN, AI applications, and Deep Learning. 

Help meet the expanding needs for data scientists who are skilled in blending science, art, and business. Understand how to automate methods of collecting and analyzing data and utilize techniques to discover previously hidden insights that can profoundly impact the success of any business.

This program provides students with the knowledge and skills to engage in the design of artificial intelligence (AI) systems, based on data science (DS) and machine learning (ML) applications, providing a critical understanding of the role that humans play through the data processing pipeline.

Data is everywhere—from e-commerce sales, app downloads to a smartphone, to supply chain management or bioinformatics or connected devices. And that massive increase in the amount and variety of data being collected is translating to an exponential growth in the computer power needed to process that data.

In this short specialized study program, students will learn Python programming concepts including programming styles, idioms, libraries, data structures, data retrieval, processing, visualization, networked application program interfaces, and databases. Students can then choose from a final course in either Python for Data Analytics/Data Science or Accessing Web Data with Python.

Modern business software produces mountains of data; it is up to the professional to examine it and draw meaningful conclusions. This Data Analytics entirely online and self-paced program is designed for business professionals who wish to understand the fundamentals of quantitative analysis so that they can convert trends in their data into thoughtful business decisions. 

The Data Quick Start Certificate of Achievement provides students with short-term, foundational data skills using spreadsheet and database software.

This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the new "Big Data" management frameworks for data storage and retrieval, and for data analysis in support of management decision-making. Data architects, data analysts, database administrators, and information technology staff members can all benefit from this program.

Our Industrial Data Analytics certificate provides essential tools for analyzing diverse industrial and manufacturing process data. Gain proficiency in advanced statistical techniques, hands-on experience in experimental design, and the ability to analyze results through computer simulations.

Machine Learning and Natural Language Processing define the current state of the art of Artificial Intelligence. These technologies, which are a form of data mining and data analysis, continuously learn from the provided information.

This certificate program covers a wide array of topics; students will learn the fundamental concepts behind collecting, storing, and analyzing data. Through descriptive, predictive, and prescriptive analytics, students will also learn how to utilize analytic tools and models to reliably forecast trends and behaviors, effectively utilize visualization tools, and create effective strategies.

The 100% online Healthcare Analytics graduate certificate from Saint Mary's University of Minnesota prepares you to apply business intelligence principles in healthcare contexts, using artificial intelligence techniques to improve patient outcomes and streamline business functions. It is delivered in a flexible format and can be completed in as few as five months. Graduates are prepared for roles like data analyst, healthcare supply chain analyst, and more.

This certificate prepares students for employment as junior programmers, programmer/analysts, and systems analysts and designers. The areas of emphasis include Visual Basic, Access and SQL Server. Computer Information Systems (CIS) provides students with a broad background in the application of computers to the emerging needs of business and industry. CIS programs of study prepare students for entry-level positions in computer programming, systems analysis, database programming, help desk, computer operations and network management, information systems management, and sales and technical information positions.