Recruitment Pipeline Forecasting
Navitas
About
Navitas is a leading global education provider that has helped generations of learners transform their lives through education. Our success is underpinned by our unparalleled international network, a peerless commitment to student experiences and outcomes, a track record of working in partnership with universities and industry, and a passion for discovering new technologies and models of teaching and learning that will improve education now and into the future. From pre-university and pathway programs to university, to English language and vocational training and undergraduate and postgraduate degrees, we reach more than 70,000 aspirational learners at more than 120 colleges and campuses across our global network each year, powered by a diverse and talented group of 6,000 employees.
We specialise in:
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University pathway programs
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Specialist tertiary education programs (e.g. creative media, psychology)
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Language, literacy, numeracy
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Employability skills training
Project
Changes in the education sector and recent world events, means there is a greater need for strategic agility, improved measurement of performance, and deeper evidenced based understanding of factors influencing student recruitment.
Activities included:
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Analysis of current forecasting practices
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Collation of factors that may indicate future trends in student recruitment
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Statistical model building
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Research and testing of influencing factors
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Presentation of findings
Outcomes achieved:
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Model design for inclusion in future machine learning prediction decision support tool
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Improved forecasting capability through evidenced based critique and comparison
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Recommendations for process optimisation, identifying gaps and/or replacement of ad hoc processes
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Challenging of existing assumptions and norms
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New insights that could potentially be shared with customers and partners
KARL SVATOS
Murdoch, SHEE
Technical Skills: Scientific writing & computer programming
Soft Skills: MC & public speaker, friendly team player, agile remote worker
NICOLAS VAN DER NEST
Curtin, Business
Technical Skills: Qualitative & quantitative research, procurement, logistics
Soft Skills: Stakeholder engagement
UPEKA SOMARATNE
Murdoch, IT
Technical Skills: Machine learning/deep learning using Python, Matlab & R, translational research
Soft Skills: Critical thinking & problem solving, teamwork & collaboration, communication & leadership skills as an experienced toastmaster