University of California, Irvine - Division of Continuing Education
Online Certificate in Data Science
Online, USA
Certificate
DURATION
15 months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
EARLIEST START DATE
Jan 2027
TUITION FEES
USD 7,834 *
STUDY FORMAT
Distance Learning
* approximate tuition
Key Summary
About: This online Certificate in Data Science from UC Irvine targets growing demand for data practitioners. The curriculum covers data-driven discovery and prediction, data engineering at scale, structured and unstructured data, computational statistics, data visualization, databases, SQL, Python, and machine learning. It suits professionals seeking skills in data analytics, data engineering and machine learning.
Career Outcomes: Graduates can pursue roles such as data scientist, data analyst, machine learning engineer, data engineer, and business intelligence analyst. Occupational context: Jobs: 33,286 (2019); Projected growth: 18.7% (2019–2029); Median salary: $118k for software developers, applications in the US, indicating strong demand and competitive pay.
The demand for data practitioners has increased dramatically over the past few years. Data Science is continually ranked as one of the most in-demand professions and the need for skilled professionals to manage and leverage insights from data is clearer than ever before. The curriculum taught in this Data Science Certificate Program is designed to meet the expanding needs of data professionals at all levels.
This program 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.
Course schedules are subject to change. Individual courses may be taken without enrolling in the full program.
Prerequisite Courses
Courses do not apply toward certificate program completion or unit requirements.
- Introduction to Python Programming
- Practical Math & Statistics for Data Science
Required Courses
- Fundamentals of Data Science
- Data Engineering
- Big Data Analysis
- Advanced Visualization
- Introduction to Machine Learning & AI
Elective Courses
- R Basics
- Introduction to SQL Programming
- Python for Data Analysis
- Data Preparation, Modeling and Visualization with Python
- Data Integration, Modeling, and ETL
- Learn from industry experts how to utilize a combination of science, art & business techniques to deliver new insights and competitive intelligence
- Describe the phases of the analytics lifecycle
- Utilize a variety of statistical and computer science tools and techniques to analyze data
- Describe and use the typical tools and technologies required to model and analyze large (big) datasets
- Explain the use of typical tools to explore data (R, STATISTICA, Hadoop, etc.)
- Utilize an inquisitive “hacker” mentality to uncover new meaning from existing data
- Effectively design, model and manage databases
- Describe and utilize unstructured and structured data sets leveraging text analytics tools
- Define requirements, develop an architecture, and implement a data warehouse plan
Career Insight
Occupational summary for software developers, applications in the United States.
- Jobs: 33,286 (2019)
- Projected Growth: 18.7% (2019-2029)
- Annual Salary: $118k (Median Salary)
Who Should Enroll
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.