Master's Student Workload: Perception Versus Reality
This study investigates whether the experience of overwork among Master's level students represents genuine workload pressure or a subjective perception. Through interviews with eight students across diverse nationalities and a survey of sixty respondents in an MSc management program, the research examines actual study hours, course difficulty, time management strategies, and leisure activities. The paper finds that student experiences vary significantly based on individual strengths, English language proficiency, and prior educational backgrounds. While some students report manageable workloads (15–40 hours weekly), others experience considerable stress from assignments, deadlines, and language barriers. The study concludes that student overwork encompasses both real pressures and individual coping mechanisms, with leisure time and personal support systems playing crucial roles in academic resilience.
- Introduction: Research questions on student overwork perception
- Literature on Student Workload and Credit Systems: ECTS framework, dropout causes, workload measurement methods
- Research Findings: Student Interviews and Survey Data: Qualitative and quantitative student responses on workload
- Data Collection Validity and Comparative Analysis: Methodology reliability and comparison with prior research
- Conclusions and Implications: Summary of findings and stress management implications
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What makes this paper effective
- Grounded empirical approach: Combines both qualitative interviews (eight students) and quantitative survey data (sixty respondents), creating a richer picture than either method alone.
- Addresses a relevant institutional problem: Student dropout due to perceived overwork is documented at scale (one-third of OECD students), making the research timely and practically important.
- Acknowledges individual variation: Rather than treating "overwork" as a single phenomenon, the paper recognizes that different students with different backgrounds, language skills, and experiences respond differently to the same workload.
- Transparent methodology: The author reflects on data reliability and validity limitations, acknowledging interviewer bias and the non-generalizable nature of the findings.
Key academic technique demonstrated
This paper demonstrates effective mixed-method research design. By triangulating qualitative interviews with quantitative survey responses, the author avoids the limitations of relying on one data source. The interview section provides rich narrative context and explanation for why students experience workload differently (e.g., English language challenges, cultural adjustment), while the survey data offers frequency and percentage data that support broader patterns. The author also explicitly grounds the research in prior literature (Bologna Process, ECTS framework, Garmendia et al.) before presenting new data, modeling how primary research fits into existing knowledge.
Structure breakdown
The paper follows a standard research structure: introduction establishing the research gap and questions; literature review contextualizing the credit system and prior findings on student workload; findings section organized by both interview profiles and survey responses; methodology reflection on validity; and conclusions connecting data back to the original question. Within the findings section, the author intersperses quantitative results (percentages, hour ranges) with individual student voices, which creates both credibility and readability. The concluding section broadens from the specific case to general implications about stress, coping, and the multifactorial nature of academic difficulty.
Introduction
Students across universities struggle with planning their credits while balancing study time and leisure. The allocation of credits should be based on relative student workload; however, broader questions remain about the actual academic experience. The aim of this paper is to examine the academic experience of students in Master's (MSc) programs, specifically exploring the work they do, the teaching they receive, and their satisfaction with study workload. More specifically, this study investigates whether students being overworked is a perception or a reality. With these considerations in mind, the research addressed two primary questions:
1. What do students consider as being overworked?
2. What do students do with their spare time?
Literature on Student Workload and Credit Systems
University teaching is in transition with respect to curriculum, syllabus upgrading, and standardization to adjust to the European Higher Education Space. Subject programming is now aligned with the current credit system. To adjust subjects to credits and restructure teaching materials, students must engage in substantial work to pass courses or achieve higher grades. The current credit system requires each student to study for at least 1,500–1,800 hours annually. For example, a one-year course comprises credits designed for 25–30 hours of work per week across approximately 40 weeks of instruction, including exam periods (European Commission 2006; Bologna Process 2006).
The calculation follows this formula:
40 weeks × 40 hours of work per week = 1,600 hours (26.5 hours per credit).
Educational researchers have traditionally used questionnaires to inquire about student workload, a method that stands in contrast to teaching staff arguments that students are not sufficiently consulted and that this hinders active student participation. This lack of engagement reflects insufficient educational innovation, as active student participation is essential to the learning–teaching process (Viennot 1997; Gil et al. 1991).
Research measuring student working hours and study time reveals fluctuations. Studies of engineering students enrolled in European universities show ranges of 20 to 37 work hours per week (Kolari, Savander-Ranne, and Viskari 2006; Garmendia et al. 2008). Educational researchers have proposed assigning credits based on learning outcomes, combining both time spent and work done to achieve learning objectives. This method is implemented by distance learning universities using surveys to determine whether a student's work effort is adequate (ECTS 2006; Garmendia et al. 2008).
High workload is a significant contributing factor to student withdrawal and affects students, society, and institutions. Many institutions struggle with dropout rates caused by work overload and lengthy course completion times. According to OECD data, at least one-third of students from OECD countries drop out before completing their studies, with most withdrawals occurring in the first year (Bowyer 2012). High dropout rates are unfavorable for all stakeholders: students have reduced career prospects, society loses educated workers, and institutions face financial losses and reputational damage. Students encounter multiple difficulties including employment pressure, poor time management, and stress, with workload being the primary reason for dropping out when students can no longer manage demands.
Overloaded course schedules contribute to time management problems, sometimes resulting from inadequate faculty planning or, conversely, from students' desire to learn as much as possible in less time. These situations cause stress and pressure that students struggle to handle (Bowyer 2012).
Understanding the hours spent on particular subjects, how workload is distributed across the course, and available leisure time would help evaluate whether a course develops learning curves, matures skills, enhances capabilities while maintaining enjoyment—or instead relies on rote learning followed by material disposal after completion (Garmendia et al. 2008). This study investigates whether student overwork is a perception or a reality.
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