Insight Series
Beyond the Timetable
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Seven Strategic Challenges Facing Academic Scheduling
Publicly available sector evidence points to a clear conclusion: academic scheduling is no longer only an operational activity. HESA’s estates management data shows the scale and complexity of the higher education estate, while sector research on teaching space utilisation shows why scheduling decisions are central to the effective use of space, staff time, specialist facilities and student-facing services (HESA, 2026; Space Management Group, 2006; Beyrouthy et al., 2009).
This insight is therefore grounded in public-domain sector datasets and research-based evidence. It draws on sources including HESA estates data, the UK Higher Education Space Management Project, peer-reviewed research into university teaching space utilisation, Jisc guidance on digital transformation, and the Academic Registrars Council Timetabling Practitioners Group (HESA, 2026; Space Management Group, 2006; Beyrouthy et al., 2009; Jisc, 2025; Academic Registrars Council, n.d.).
Universities are under growing pressure to make better use of their existing resources while continuing to deliver high-quality learning experiences. The challenge is not simply about finding available rooms or producing a timetable. It is about understanding how people, space, time, and academic demand interact—and making informed decisions that support institutional priorities.
Studies of teaching space utilisation have repeatedly shown that apparent capacity and usable capacity are not the same thing. The UK Higher Education Space Management Project defines utilisation as a combination of how often space is used and how full it is when used, while research published in the Journal of the Operational Research Society found that timetabling and location constraints can materially affect whether teaching space can be used efficiently in practice (Space Management Group, 2006; Beyrouthy et al., 2009).
Academic scheduling sits at the centre of this challenge.
When universities discuss resource optimisation, the conversation often begins with space.
These are important questions, but effective resource optimisation requires a broader perspective. HESA’s estates data shows that university resources span buildings, spaces, energy, emissions, waste, transport, environment, finances and people, while space management research shows that utilisation is affected by both frequency of use and occupancy when used (HESA, 2026; Space Management Group, 2006). Every scheduling decision is therefore connected to wider institutional considerations. A change in student numbers affects module demand. Module demand influences teaching requirements. Teaching requirements impact academic workload and room availability. Room availability affects the student experience. The complexity comes from understanding these relationships and making decisions that balance competing priorities.
This is where traditional scheduling approaches often struggle. The UK Higher Education Space Management Project highlights the strategic role of utilisation data in informing decisions about the type and scale of facilities needed, but manual processes and disconnected systems can make it difficult to see the complete picture (Space Management Group, 2006). As a result, institutions may spend significant time resolving immediate issues rather than planning for future opportunities.
This is why teaching space should not be treated as a standalone estates issue. The evidence base points to the need to combine space planning with scheduling, location requirements, room suitability and academic delivery constraints.
For many universities, scheduling has historically been about managing constraints.
These activities remain essential, but the opportunity today is much greater. Peer-reviewed teaching space research shows that timetabling and location requirements can materially influence whether courses can be allocated efficiently to available space (Beyrouthy et al., 2009). Modern academic scheduling can therefore help institutions explore questions such as:
Answering these questions requires more than a timetable. It requires insight, evidence and the ability to model the effect of different constraints before decisions are implemented.
Since its foundation, EventMAP has focused on solving complex planning challenges within higher education. Our origins in academic research into optimisation continue to influence how we work with universities today. This perspective is consistent with published operational research, which shows that teaching space use is shaped by multiple interacting constraints rather than by room supply alone (Beyrouthy et al., 2009). We understand that scheduling is not simply a technical exercise, it is a complex decision-making challenge involving thousands of variables and competing priorities.
The goal is not just to automate an existing process. The goal is to help institutions make better decisions. Jisc’s digital transformation guidance emphasises the importance of connecting digital change to organisational strategy, engaging stakeholders, collecting data and making evidence-based decisions (Jisc, 2025). By combining optimisation technology with institutional knowledge, universities can move from reactive timetable creation towards more strategic planning. This enables them to evaluate different scenarios, understand potential impacts and make decisions with greater confidence.
This aligns with public sector guidance on higher education digital transformation. Jisc’s work emphasises connecting digital transformation with organisational strategy, engaging stakeholders, collecting data and making evidence-based decisions (Jisc, 2025).
Across our work with higher education institutions, we have seen that the greatest opportunities often come from improving visibility. This is consistent with sector guidance, which highlights the value of utilisation data in informing decisions about the type and scale of facilities needed, and with digital transformation guidance that stresses evidence-based decision-making (Space Management Group, 2006; Jisc, 2025).
Universities frequently have significant resources available to them, but without a connected view of demand, capacity and utilisation, it can be difficult to identify where improvements can be made. The Academic Registrars Council Timetabling Practitioners Group explicitly recognises the strong link between timetabling and space planning, including room styles and utilisation (Academic Registrars Council, n.d.).
EventMAP helps institutions bring together the information needed to understand these relationships.
Whether the challenge is improving teaching space utilisation, managing increasing complexity, supporting growth, or creating a more efficient planning process, the ability to analyse and optimise scheduling decisions provides a stronger foundation for strategic decision-making. This reflects the wider evidence base that effective use of teaching space depends on combining space data with scheduling, location and delivery constraints (Beyrouthy et al., 2009; Space Management Group, 2006).
Resource optimisation is becoming an increasingly important capability for universities. Public-sector estates data and space utilisation research both point to the same issue: institutions need to understand not only what resources they have, but how those resources are used in practice (HESA, 2026; Space Management Group, 2006).
As institutions continue to navigate financial pressures, changing student expectations and evolving approaches to teaching and learning, the ability to make the best use of existing resources will become even more critical. Sector guidance on digital transformation reinforces this point by emphasising strategic alignment, evidence-based decision-making and regular review as conditions change (Jisc, 2025).
Public sector datasets and sector reports on higher education estates show why this matters. HESA publishes data on buildings and spaces, energy, emissions and waste, transport and environment, and finances and people, providing a public evidence base for understanding the scale and cost of institutional resources (HESA, 2026).
The future of academic scheduling is not simply about creating timetables faster. It is about helping universities understand their options, anticipate challenges, and make better decisions. That is the real opportunity of smarter academic scheduling.
EventMAP works with universities worldwide to help transform complex scheduling challenges into more informed planning processes.
Through optimisation, automation and data-driven decision support, institutions can gain greater visibility into how their resources are being used and explore opportunities to improve efficiency while supporting academic priorities. This approach reflects the public evidence base used throughout this insight: HESA data on estates resources, space management guidance on utilisation, operational research on timetabling constraints, Jisc guidance on digital transformation and ARC recognition of the connection between timetabling and space planning (HESA, 2026; Space Management Group, 2006; Beyrouthy et al., 2009; Jisc, 2025; Academic Registrars Council, n.d.).
The result is not just a better timetable. It is a stronger foundation for institutional planning. You can find out more about the projects EventMAP has been involved in by reviewing our case studies here: https://www.eventmapsolutions.com/success-stories
