Breaking news

AI Boom Reshapes Computer Science Enrollment At U.S. Universities

Enrollment Decline And The Rise Of AI-Focused Programs

This fall, University of California campuses recorded a noticeable shift as computer science enrollment declined for the first time since the dot-com era. According to recent reporting by the San Francisco Chronicle, overall enrollment across the UC system fell by 6% this year, following a 3% decrease in 2024, even as national college enrollment grew by 2% based on data from the National Student Clearinghouse Research Center. The contrast points to a cooling interest in traditional computer science degrees rather than a broader retreat from higher education.

China’s Strategic Embrace Of AI Literacy

While U.S. institutions are reassessing priorities, Chinese universities are rapidly embedding artificial intelligence into core curricula. The MIT Technology Review reports that nearly 60% of Chinese students and faculty use AI tools on a daily basis. Universities such as Zhejiang University have introduced mandatory AI coursework, and Tsinghua University has launched dedicated interdisciplinary AI colleges. In this environment, AI proficiency is evolving from a competitive advantage into a baseline academic expectation.

Emerging Trends In U.S. Higher Education

Across the United States, universities are moving quickly to modernize degree offerings with AI-centered programs. UC San Diego has introduced a dedicated AI major, while MIT’s “AI and Decision-Making” track has become one of its fastest-growing undergraduate options. The University of South Florida enrolled more than 3,000 students in its newly created AI and cybersecurity college, and the University at Buffalo opened an “AI and Society” department that attracted over 200 applicants before its official launch. These developments suggest a shift in focus rather than a decline in interest in technology overall.

Faculty Resistance And Parental Concern

Administrative leaders face internal challenges amid this transition. UNC Chapel Hill Chancellor Lee Roberts described a contentious environment where some faculty have embraced AI, while others are hesitant, resulting in significant debates. Recent administrative decisions, such as the merger of two schools into an AI-focused entity, have further intensified these discussions. At the same time, parents, once staunch advocates for traditional CS career paths, are now guiding their children toward majors perceived as less susceptible to AI automation, such as mechanical and electrical engineering.

Navigating A New Academic Landscape

Data from the Computing Research Association show that 62% of computing programs reported declines in undergraduate enrollment this fall. However, the surge in AI-focused programs suggests a broader migration rather than an outright exodus from the technology sector. Prestigious institutions, including the University of Southern California, Columbia University, Pace University, and New Mexico State University are set to launch new AI degrees, underscoring the global pivot toward this transformative technology.

As universities adapt to the accelerating influence of artificial intelligence, the central challenge is no longer whether to incorporate AI, but how quickly and effectively they can redesign academic pathways to match shifting student expectations and future labor market demands.

Women Make Up A Majority Of The EU’s Science And Technology Workforce But The Real Gap Is Elsewhere

Women now make up the majority of the EU’s science and technology workforce. According to Eurostat, in 2025, more than 81.6 million people aged 15 to 74 were employed in science and technology occupations across the EU. Of those, 52.5% were women, equal to 42.8 million women. The number of women in these occupations rose by 27.9% compared with 2015, an increase of more than 9.3 million over a decade.

On the surface, the numbers resemble progress. However, Eurostat’s category requires context before that figure can be read accurately. The data refers to HRST, or Human Resources in Science and Technology, specifically people employed in science and technology occupations. These are roles where the main tasks require professional or technical knowledge in physical and life sciences, but also in social sciences and humanities. That definition is wider and broader than engineering, ICT, laboratory science, or high-tech research alone.

Zooming In

The gender picture changes once the data moves from a wider definition of the workforce to the narrower scientist-and-engineer (research and manufacturing) subgroup.

Scientists and engineers represented almost a quarter of all people employed in science and technology in the EU in 2025. Eurostat describes scientists and engineers as often being the innovators at the centre of technology-led development, making them an important subgroup to focus on separately.

Women accounted for only 40.8% of scientists and engineers in 2025, despite making up more than half of the wider category. That share has increased by a mere 0.5 percentage points over the past decade. The absolute number of women working as scientists and engineers rose from 5.3 million in 2015 to 8.2 million in 2025, despite the push from national and international organisations to increase the number of women in the field. Europe has expanded the number of women in science and technology occupations over ten years. However, that expansion has not extended equally into the scientist-and-engineer subgroup, where much of Europe’s research and innovation work is conducted.

In 2025, of the 39.4 million women aged 25 to 64 working in science and technology occupations in the EU, 35.5 million worked in service activities. Only 2.7 million worked in manufacturing. Women accounted for 57.5% of science and technology employment in services, but only 31.3% in manufacturing.

In 2025, the highest shares of women employed in science and technology occupations were recorded in Latvia at 62.4%, followed by Hungary’s Great Plain and North region at 61.1%, Estonia at 60.5%, Poland’s Central macroregion at 60.4%, and Lithuania at 60.3%. No EU country recorded a majority of women among science and technology workers in manufacturing.

Break-down

Eurostat’s figures measure employment in broad science and technology occupations. They do not show job security, pay levels, management roles, promotion rates, research leadership, or whether women are concentrated in junior or senior workplace positions.

The classification of “senior” also requires additional explanation. Eurostat reports that 45.9% of science and technology workers aged 25 to 64 in the EU were classified as “senior” HRST in 2025. In this dataset, “senior” refers to workers aged 45 to 64. It does not mean senior manager, senior researcher, team lead, or decision-maker.

A high female share in the wider Human Resource Science and Technology (HRST) category does not parallel equal representation across scientists, engineers, manufacturing roles, senior posts, pay, research funding, or decision-making. These figures also reflect the occupational mix inside each country or region, not only structural progress across all areas of science and technology.

The Case Of Cyprus

Eurostat data places Cyprus’s overall science and technology employment at 37.2% of the labour force in 2025, slightly above the EU-27 figure of 36.9%, and above Greece at 26.8%, Malta at 33.9%, and Turkey at 18.2%. This figure covers the total share of the labour force employed in science and technology across all genders.

Progress Or Work-in-Progress?

52.5% in the broad category. 40.8% among scientists and engineers. 31.3% in manufacturing. Europe’s gender gap in science and technology hasn’t closed yet, and there is still work to be done to encourage and support more women to enter the field, especially in research and manufacturing.

Let’s not wait another decade for another couple of percentage points of hope.

The Future Forbes Realty Global Properties
Aretilaw firm
Uol
eCredo

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter