The University of New Haven is strengthening its leadership in cybersecurity and artificial intelligence with a new AI for Cybersecurity concentration, supported by a grant from the State of Connecticut’s Tech Talent Accelerator 3.0 programme.
The initiative is designed to equip students with both cybersecurity fundamentals and applied artificial intelligence skills, responding to rising demand from employers across industries such as insurance, finance, and risk management.
The programme is being led by Prof. Mehdi Mekni, director of the Bachelor of Science in Cybersecurity, alongside faculty members from the Electrical and Computer Engineering and Computer Science Department.
According to Prof. Mekni, the new concentration was developed in response to an urgent workforce need in Connecticut.
“Industry is increasingly relying on AI-enabled tools for fraud detection, compliance, and cyber-risk management,” he said, citing companies such as Travelers as key industry partners. “The gap between industry demand and academic preparation is becoming more visible.”
He also noted that higher education institutions have not kept pace with rapid technological change, particularly in integrating artificial intelligence into computing programmes.
Industry-Driven Curriculum
A key feature of the programme is its close collaboration with industry partners. Unlike traditional models that offer AI as an elective, the University of New Haven has embedded AI directly into its ABET-accredited cybersecurity degree.
The university also holds recognition as a National Center of Academic Excellence in Cyber Operations, which officials say strengthens the programme’s credibility and national standing.
Prof. Mekni said industry partners are directly involved in designing the curriculum.
“Travelers’ cybersecurity and data science teams are co-designers of modules, reviewers of skills maps, and hosts for supervised work-based learning,” he said. “This is not an academic programme inspired by industry; it is built with industry.”
Industry Certifications and Work-Based Learning
Students enrolled in the programme will also earn industry-recognised certifications, including Google Data Analytics, AWS AI/ML Specialty, and CompTIA Data+, developed in collaboration with industry stakeholders.
The initiative also includes structured internships and project-based learning opportunities aimed at preparing students for real-world cybersecurity challenges.
“Learners will apply classroom knowledge to real-world problems in fraud detection, compliance, and cyber-risk management,” Prof. Mekni said.
Building a Workforce Pipeline
The grant funding also supports research and curriculum development, including a labour market analysis using Lightcast data to identify cybersecurity and AI skill gaps in Connecticut.
Curriculum workshops with industry experts will help ensure that learning outcomes match current workforce needs, while pilot modules will be refined through ongoing feedback from employers.
Officials say the initiative is designed not only to launch a new academic programme but also to build a sustainable talent pipeline for the future.
“The goal is to move students from concept to application to workforce-ready capability,” Prof. Mekni said.
Statewide Impact
The University of New Haven, a founding member of the Connecticut Artificial Intelligence Alliance (CAIA), says the programme supports broader efforts to integrate AI into higher education across the state.
Officials believe the model could be replicated in other institutions, helping align academic training with employer demand.
“The concentration is scalable and transferable,” Prof. Mekni said, adding that it is designed to support Connecticut’s long-term workforce strategy in emerging technologies.
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