Why ODU for artificial intelligence in data science?

Elevate your data science career with an introduction to artificial intelligence in data science, including machine learning methods for analyzing vast datasets.

Our certificate is designed for recent graduates or entry level data scientists and data analysts to deepen their expertise in AI. It's also a great way to start a master's program in data science.

When you complete this certificate, you will be equipped to:

  • Model different types of data using machine learning techniques
  • Interpret and apply advanced AI algorithms in real-world scenarios
  • Understand the pivotal role humans play in interpreting AI results
  • Make informed recommendations on the use of artificial intelligence techniques in data science and data analytics

This certificate can be completed in as little as one year. Full- and part-time enrollment is available.

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Program Information

Total
12 Credit Hours

You will take four courses in this online certificate:

  • Introduction to Machine Learning
  • Introduction to Artificial Intelligence
  • Introduction to Data Science and Analytics
  • Fundamentals of Interpretable Machine Learning and Explainable AI

You must have completed an Introductory Linear Algebra course prior to enrolling in this program.

If you enroll in our master's degree in data science after completing the certificate, up to 12 credits earned in this certificate will be credited toward the master's program.

Participate in live, regularly scheduled online class meetings and access course materials online from any location. All courses follow ODU's regular academic calendar.

Total
12 Credit Hours

You will take four courses in this online certificate:

  • Introduction to Machine Learning
  • Introduction to Artificial Intelligence
  • Introduction to Data Science and Analytics
  • Fundamentals of Interpretable Machine Learning and Explainable AI

You must have completed an Introductory Linear Algebra course prior to enrolling in this program.

If you enroll in our master's degree in data science after completing the certificate, up to 12 credits earned in this certificate will be credited toward the master's program.

Participate in live, regularly scheduled online class meetings and access course materials online from any location. All courses follow ODU's regular academic calendar.

Cost & Aid

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Calculating Cost
In-state Virginia Residents
$620 per credit hour*
Out-of-state Students
$642 per credit hour

Rates are effective Fall 2024 and subject to change.
* In-state rate assumes residency requirements are met.

The newest class of graduates through ODUGlobal celebrated commencement in May 2024.
Scholarship & Aid

Scholarship Opportunities for Online Students

At ODUGlobal, we offer a variety of scholarships to support and empower you in achieving your academic and career goals, making quality education accessible wherever you are. 

Career Applications

You can enhance your existing data science skills and knowledge with a deeper understanding of artificial intelligence and its uses in managing and interpreting data. Roles that can benefit from these skills include:

Data Scientists
Growth
36.0%
Median Salary
$108,020
Intelligence Analysts
Growth
2.3%
Median Salary
$91,100
Computer Systems Analysts
Growth
10.7%
Median Salary
$103,800

ODUGlobal Graduate Admissions Team

Elaine Ross, Assistant Director of Graduate and International Admissions

Contact us at globalgradadmit@odu.edu about admission requirements, deadlines, or anything else you need to know about the application process!

Angel Baker
Applications Coordinator
Angela Schlender
Applications Coordinator

Ready to Apply?

To apply, you must have a baccalaureate degree from a regionally accredited institution or an equivalent degree from a foreign institution. You will apply to ODU as a non-degree seeking graduate student.

You must have completed an Introductory Linear Algebra course prior to beginning this certificate program.

If your native language is not English, you must submit a minimum score of 230 on the computer based TOEFL or 80 on the TOEFL iBT.