Overview
Data science isn’t just about numbers. Data represents people, societies, cultural trends, and more. This microcertificate will explore the ethics, governance, and laws relevant to data science and artificial intelligence, including privacy, fairness, accountability, and transparency.
Courses
- CSCI 101 Foundations of Data Science and Engineering
- CSCI 184 Data Science and Artificial Intelligence: Ethics, Governance, and Laws
Stackable Pathway
The microcertificate courses can stack toward one of the following 4-course graduate certificates:
Skills and Outcomes
In courses for the microcertificate, you will:
- Learn to integrate features of Python, MySQL, and Tableau as you gain foundational knowledge of data science and engineering.
- Learn the principles of statistical thinking, data structures, data manipulation, and data visualization.
- Practice applying the skills of data management, cleaning, modeling, machine learning, and natural language processing.
- Explore the ethics, governance, and laws relevant to data science and artificial intelligence, including privacy, fairness, accountability, and transparency.
- Understand the regulatory framework for data science, including data protection laws, intellectual property rights, and ethical codes of conduct.
Who Should Enroll
By completing the Data Modeling and Ethics Microcertificate, you will gain the skills required to pursue various data analytics, engineering, and science careers, including:
- Data analyst
- Data engineer
- Machine learning engineer
Starting and Completing a Microcertificate
To begin your microcertificate, you simply register for your first course for the microcertificate — no application required. Learn how to register.
To earn the microcertificate, you will complete two microcertificates courses at the graduate level and with a grade of B or higher, within one year. This short timeline will support momentum and reinforce the learning between the two related courses.
