North American bachelor's, master's, and PhD-level computer science students are becoming more ethnically diverse.

Although white students are still the most represented ethnicity among new bachelor’s, master’s, and PhD-level computer science graduates, students from other ethnic backgrounds (for example, Asian, Hispanic, and Black or African American) are becoming increasingly more represented. For example, in 2011, 71.9% of new CS bachelor’s graduates were white. In 2021, that number dropped to 46.7%.

New AI PhDs are still overwhelmingly male.

In 2021, 78.7% of new AI PhDs were male. Only 21.3% were female, a 3.2 percentage point increase from 2011. There continues to be a gender imbalance in higher-level AI education.

Women make up an increasingly greater share of CS, CE, and information faculty hires.

Since 2017, the proportion of new female CS, CE, and information faculty hires has increased from 24.9% to 30.2%. Still, most CS, CE, and information faculty in North American universities are male (75.9%). As of 2021, only 0.1% of CS, CE, and information faculty identify as nonbinary.

American K-12 computer science education has become more diverse, in terms of both gender and ethnicity.

Since 2017, the proportion of new female CS, CE, and information faculty hires has increased from 24.9% to 30.2%. Still, most CS, CE, and information faculty in North American universities are male (75.9%). As of 2021, only 0.1% of CS, CE, and information faculty identify as nonbinary.