University of California, Irvine - Division of Continuing Education
Accelerated Certificate Program: Data Science
Irvine, USA
Certificate
DURATION
3 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
30 Mar 2027
TUITION FEES
USD 7,900
STUDY FORMAT
On-Campus
Key Summary
About: UC Irvine's Accelerated Certificate in Data Science teaches data-driven discovery, predictive modeling, data engineering, data cleaning, structured/unstructured data, statistics, pattern recognition, data mining, visualization, SQL, Python, and machine learning. To earn the certificate you must complete all required courses with a grade of C or better. An optional internship gives applied experience for 10 weeks, costs $2,900, and includes a research project plus resume development and interviewing workshops.
Career Outcomes: Graduates can enter analytics and engineering roles. Typical positions include data scientist, data analyst, data engineer, and machine learning engineer, in tech, finance, healthcare, government and public sector roles.
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 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.
This Data Science program covers a wide array of topics 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.
Certificate Requirements
To earn a certificate at UC Irvine's Division of Continuing Education, students must complete all required courses with a grade of “C” or better.
- Practical Math and Statistics for Data Science
- Introduction to Python Programming
- Fundamentals of Data Science
- Data Engineering
- Advanced Visualization
- Big Data Analysis
- Utilize 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 decisions
- Implement machine learning algorithms
- Apply text analytics tools to unstructured and structured datasets
- Develop and implement a data warehouse plan
- Gain a competitive edge in the global job market through an internship in a U.S. company
Who Should Attend
Students who are currently attending university, have graduated from university, or are current working professionals and have an interest in the subject area will gain from the knowledge and skills presented in this program.
This program is intended for professionals in a variety of industries and job functions who are looking to help their organization understand and leverage the massive amounts of diverse data they collect. Others who would benefit from this program include data engineers, data analysts, computer scientists, business analysts, database administrators, researchers, and statisticians.
Students will be placed into a morning (9:00-12:00) or afternoon (13:00-16:00) schedule. Courses in the program are taken consecutively, completing one before proceeding to the next. Schedules are not guaranteed and are subject to change. A final schedule will be provided on the first day of the program.