CUE data reveals sharp rise in computing lecturers as engineering and agriculture lose staff

Kenya’s university system is expanding its academic workforce, but the growth is uneven. New data from the Commission for University Education (CUE) shows a sharp rise in lecturers in computing, health, social sciences and related fields, alongside declines in engineering, agriculture, mathematics and statistics and some other disciplines.

The figures present a changing picture of Kenya’s university workforce: institutions are adding capacity in areas increasingly associated with the digital and health economies, while staffing in several traditional scientific and strategic disciplines is contracting.

Whether that represents a necessary response to changing student and labour-market demand—or a potential weakening of disciplines vital to Kenya’s long-term development—is a question the figures raise rather than one the data alone can settle.

CUE data shows that total university academic staff increased from 15,383 in 2024 to 16,434 in 2025, an increase of 1,051 staff, or about 6.8 per cent.

The increase, however, was not distributed evenly across academic disciplines.

Computer Science recorded the largest increase among the fields listed by CUE, rising from 346 lecturers in 2024 to 602 in 2025.

Information and Computer Technology also increased, from 277 to 349, while Information Systems and Services recorded growth.

CUE interprets the increase in computing-related staffing as evidence of a strategic movement towards digital skills and technology programmes.

This is consistent with the growing prominence of computing, artificial intelligence, data-related programmes and other technology-driven areas of the economy.

But the figures should not automatically be interpreted as proof that universities are deliberately abandoning traditional disciplines. They show changes in staffing levels between two years; understanding the reasons requires consideration of enrolment, labour-market demand, vacancies, workloads and accreditation requirements.

Health-related academic fields also recorded significant increases.

Medical Studies rose from 752 lecturers to 918, while Nursing increased from 325 to 460.

Biological and related Sciences grew from 498 to 638.

Social Sciences increased from 1,053 to 1,248, while Business—the largest academic domain by staffing—rose from 2,005 to 2,166.

Education Arts also increased, from 841 to 965.

The pattern suggests that university staffing is expanding in several areas where demand for professional and specialised skills is growing.

But again, the staffing numbers alone do not explain whether these increases are sufficient, excessive or properly aligned with student numbers and national workforce requirements.

Engineering staffing fell from 843 to 745, a reduction of 98 lecturers.

Agriculture declined from 620 to 538, losing 82 staff.

Mathematics and Statistics fell from 705 to 664, a reduction of 41.

Arts recorded the largest numerical decline among the listed fields, falling from 593 to 443, while Education Science dropped from 266 to 227.

These are CUE's reported staffing changes.

The broader question is what the reductions could mean if they continue over several years.

Engineering remains important to infrastructure, manufacturing, energy and industrial development. Agriculture is central to food production and the wider agricultural economy, while mathematics and statistics underpin scientific research, data analysis and many technology-intensive programmes.

That does not mean the reported declines have already created a national shortage. Such a conclusion would require additional evidence.

It does, however, justify closer scrutiny of whether staffing trends are keeping pace with Kenya’s development ambitions.

The strongest growth in the data is in Computer Science, yet some of the disciplines that support advanced computing are among those experiencing declines.

This creates an important policy question.

The expansion of artificial intelligence, data science and other digital technologies requires strong computing capacity, but it also depends heavily on mathematics, statistics, engineering and scientific research.

Similarly, technology-driven agriculture requires both digital expertise and agricultural knowledge.

This means Kenya may need to think less in terms of old disciplines versus new disciplines and more in terms of how different disciplines work together.

A computer scientist, for example, may develop a digital agricultural platform, but agricultural expertise is required to ensure that the system addresses real farming problems. Engineers may develop infrastructure incorporating sophisticated digital systems, while mathematicians and statisticians provide the quantitative foundations for modelling and analysis.

The implication is analytical rather than a conclusion stated by CUE: rapid expansion in one discipline should not unintentionally weaken the academic ecosystem surrounding it.

CUE itself cautions against looking at staffing figures in isolation.

The Commission says staffing plans should be assessed alongside student enrolment, graduation outputs and programme accreditation requirements.

This is critical.

A reduction in lecturers does not necessarily mean a university system is under-resourced if student numbers have also declined. Conversely, an increase in lecturers does not automatically mean a discipline has adequate capacity if enrolment is rising even faster.

The real test is therefore the relationship between staff, students, programmes, infrastructure and outcomes.

CUE also warns that continued contraction in some disciplines could raise capacity concerns, particularly in foundational and strategic areas such as engineering, agriculture and mathematics and statistics.

CUE notes that rapidly expanding areas require corresponding investment in specialised infrastructure, laboratories, equipment and other support systems.

This is particularly important in computing and health-related disciplines, where quality training requires access to modern laboratories, technology, equipment and practical learning environments.

The same principle applies to engineering and agriculture.

Simply increasing the number of lecturers without strengthening the facilities in which they teach may not produce the desired improvement in graduate quality.

The latest staffing data does not provide a verdict on the direction of Kenya’s universities.

It provides a signal.

Universities are increasing their academic workforce overall, but the distribution of that workforce is changing.

Computing and health-related disciplines are gaining staff. Engineering, agriculture and mathematics and statistics are losing some.

The reasons may include student demand, labour-market expectations, programme expansion, recruitment decisions, institutional priorities and other factors that require deeper investigation.

The figures therefore should not be used to claim that one group of disciplines is succeeding while another is failing.

Instead, they should trigger a more fundamental conversation about what Kenya expects its universities to produce.

A country seeking a digital economy needs computer scientists. A country pursuing industrialisation needs engineers. A country confronting food-security challenges needs agricultural scientists. A country building a data-driven economy needs mathematicians and statisticians. A country seeking better health outcomes needs doctors, nurses and other health professionals.

The challenge is not choosing one over the other.

It is building a university system where digital, scientific, engineering, agricultural, mathematical, health and social knowledge reinforce rather than displace one another.

The CUE figures therefore carry a double message. Kenya is expanding its university academic workforce and responding to emerging areas of demand, but the decline in some foundational disciplines deserves sustained attention.

The real measure of success will not be whether universities employ more lecturers in fashionable fields. It will be whether the overall academic workforce is strong enough, broad enough and properly equipped to produce the knowledge and skills required by Kenya’s economy—both today and decades from now.