The Universities and Colleges Admissions Service (UCAS) provides information, advice and admissions services for undergraduate and postgraduate courses in the United Kingdom.

Every year, UCAS processes more than three million applications for courses at 425+ colleges and universities across the UK. The uptime of the UCAS admissions portal is critical for stakeholders – students, universities, admissions professionals, and education providers. Infosys automated the online admissions process to manage peak traffic.

Key Challenges

  • Process millions of applications accurately at the first instance
  • Manage peak service loads
  • Prevent outage of online service channels

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The Solution

Infosys automated the online admissions portal to process hundreds of admission requests each second

Infosys implemented Artificial Intelligence (AI)-driven automation to enhance the online admissions process at UCAS. The portal registers a huge spike in traffic on the A-level results day. Millions of applicants visit the portal for ‘Confirmation and Clearance’ (C&C), the UCAS procedure to publish admissions related information of affiliated universities.

Infosys automated critical processes for admissions, which enables smooth handling of 200-300 logins each second. AI-based automation helps predict stress on infrastructure load and facilitates timely fixes to prevent the website from crashing during peak demand for C&C.

Advanced IT infrastructure management enhances the reliability of the UCAS portal and facilitates a hassle-free admissions process every year.

Self-healing capacity management system copes with peak web traffic volume

  • 900% reduction in system outages over eight months
  • 91% improvement in customer satisfaction within one year
  • Up to 900,000 unique login registrations managed every hour on C&C day
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Benefits

Infosys modernized the web infrastructure at UCAS

Rationalized 28 critical applications to augment system performance, using a software architecture blueprint

Rationalized 28 critical applications to augment system performance, using a software architecture blueprint

Analyzed ~ 10,000 repetitive incidents to identify and address predictable issues

Analyzed ~ 10,000 repetitive incidents to identify and address predictable issues