Opportunities within STEM and innovation.<\/li>\n<\/ul>\n\n\n\nWomen can also encounter broader challenges such as workplace culture, limited representation in senior positions and unequal access to professional networks.<\/p>\n\n\n\n
The technology pipeline therefore cannot be strengthened through education alone.<\/p>\n\n\n\n
Progress requires attention to what happens before, during and after<\/strong> women enter technology careers.<\/p>\n\n\n\n<\/span>How Can More Women Enter STEM and Technology Careers?<\/span><\/h2>\n\n\n\nImproving the participation of women in STEM South Africa<\/strong> requires action at several stages.<\/p>\n\n\n\nStart Exposure Earlier<\/h3>\n\n\n\n
Girls need opportunities to engage with mathematics, science, coding and technology before making tertiary-study decisions.<\/p>\n\n\n\n
Make Career Pathways Visible<\/h3>\n\n\n\n
Many people hear the term \u201ctechnology career\u201d and immediately think of software development.<\/p>\n\n\n\n
Greater awareness of careers in data, analytics, cybersecurity, AI, cloud computing and digital product management can broaden perceptions.<\/p>\n\n\n\n
Strengthen Mentorship<\/h3>\n\n\n\n
Mentors can help younger professionals understand career pathways, workplace expectations and opportunities.<\/p>\n\n\n\n
Create Inclusive Workplaces<\/h3>\n\n\n\n
Recruitment alone is not enough.<\/p>\n\n\n\n
Organisations also need environments in which women can develop, contribute and progress into leadership.<\/p>\n\n\n\n
Support Continued Learning<\/h3>\n\n\n\n
Technology changes quickly.<\/p>\n\n\n\n
Short courses, postgraduate study, professional certifications and workplace training can help professionals continue developing their capabilities.<\/p>\n\n\n\n
<\/span>What Does the Rise of Women in PDDS Tell Us?<\/span><\/h2>\n\n\n\nThe approximately two-thirds female representation within Regenesys’ PDDS programme should not be interpreted as evidence that South Africa has solved the gender gap in technology.<\/p>\n\n\n\n
National data clearly shows otherwise.<\/p>\n\n\n\n
What it does provide is a positive signal.<\/p>\n\n\n\n
It shows that, within this particular postgraduate data science programme, women are not a small minority.<\/p>\n\n\n\n
They are the majority.<\/p>\n\n\n\n
That can matter for the future pipeline.<\/p>\n\n\n\n
If more women build capabilities in statistics, Python, machine learning, AI and data interpretation, more women may be positioned to participate in technology-driven industries and decision-making.<\/p>\n\n\n\n
The next challenge is ensuring that education translates into meaningful opportunities to enter, remain and progress in the technology workforce.<\/p>\n\n\n\n
<\/span>Conclusion<\/span><\/h2>\n\n\n\nThe story of women in tech South Africa<\/strong> is one of both progress and unfinished work.<\/p>\n\n\n\nWomen remain underrepresented across the country’s STEM workforce, yet participation is growing in important areas.<\/p>\n\n\n\n
Statistics South Africa has recorded increasing female representation among tertiary-qualified workers in physical\/mathematical and engineering fields, while government continues to highlight the need for stronger access to technology, mentorship and innovation opportunities.<\/p>\n\n\n\n
At Regenesys, the fact that approximately two-thirds of PDDS students are women<\/strong> offers another encouraging signal: women are actively choosing advanced data science education.<\/p>\n\n\n\nData science and AI will continue influencing how organisations make decisions and solve problems.<\/p>\n\n\n\n
Ensuring that women have the skills and opportunities to participate in these fields will be important not only for gender representation, but for the diversity of people shaping South Africa’s digital future.<\/p>\n\n\n\n
<\/span>Frequently Asked Questions<\/span><\/h2>\n\n\n\n\n
<\/span><\/span>Are more women entering technology careers in South Africa?<\/h3><\/div><\/div>\n
There are signs of progress, although women remain underrepresented in many STEM fields. Statistics South Africa reported that female representation among employed tertiary-qualified workers in physical\/mathematical and engineering fields increased from 22.2% in Q2 2014 to 29.6% in Q2 2024.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>What percentage of South Africa’s STEM workforce is female?<\/h3><\/div><\/div>\n
South Africa’s Department of Science, Technology and Innovation stated in 2025 that women made up less than 30% of the STEM workforce. This indicates that a substantial gender gap remains despite increasing participation<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>Are many women studying data science at Regenesys?<\/h3><\/div><\/div>\n
Internal Regenesys enrolment information supplied for this article indicates that approximately two-thirds of students enrolled in the Postgraduate Diploma in Data Science are women. The figure refers to Regenesys PDDS participation and should not be interpreted as a national data science statistic.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>Is data science a good career option for women?<\/h3><\/div><\/div>\n
Data science is open to anyone with the necessary interest and capabilities. It combines analytical thinking, statistics, programming and business problem-solving and can lead to opportunities across industries such as banking, retail, healthcare, government and consulting.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>What skills are needed for a career in data science?<\/h3><\/div><\/div>\n
Common skills include Python, statistics, data cleaning, data visualisation, machine learning, critical thinking and communication. Professionals also need to understand how analytical methods can be applied to practical business or organisational problems.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>Why are women important in artificial intelligence?<\/h3><\/div><\/div>\n
AI systems can influence decisions affecting customers, employees and society. Greater diversity among the people developing and governing AI can introduce a wider range of perspectives when identifying risks, testing assumptions and designing solutions.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>What can women study to enter the technology industry?<\/h3><\/div><\/div>\n
Possible pathways include qualifications in data science, computer science, information technology, engineering, statistics and related disciplines. Postgraduate qualifications and professional training can also help graduates develop more specialised technology skills.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>What is the Regenesys Postgraduate Diploma in Data Science?<\/h3><\/div><\/div>\n
It is a one-year, online NQF Level 8 qualification worth 135 credits. The programme includes subjects such as Python, statistics, data storytelling, machine learning and deep learning.<\/p>\n<\/div><\/div><\/div>\n\n\n\n
<\/span><\/span>What careers can a Postgraduate Diploma in Data Science support?<\/h3><\/div><\/div>