How many hours a week should you study at university? (Dr Jarek Kriukow)
Based on Qualitative Researcher Dr Kriukow's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
Online “study 40–60 hours” rules and lecture-hours × 3 formulas are criticized as too generic to be useful across different learners and programs.
Briefing
University study time targets like “40–60 hours a week” and formulas that multiply lecture hours by three are doing more harm than good. The central message is that rigid, one-size-fits-all guidelines create guilt and inferiority—especially for students who are working, learning at different speeds, or studying in different program structures—while ignoring the real drivers of academic success.
Instead of chasing a universal number, the advice centers on being systematic: staying on top of homework, readings, and deadlines in a consistent routine. That approach, the argument goes, matters far more than weekly totals because learning efficiency varies widely. Two students can spend radically different amounts of time and still end up with different outcomes, depending on how quickly they read, how they process material, and how their program is structured (undergraduate vs. master’s vs. PhD; full-time vs. part-time; different assessment styles). Comparing hours with classmates becomes a distraction rather than a strategy.
The critique begins with the online “guidelines” themselves. Common claims treat university like a full-time job, implying students should study 40, 50, or 60 hours weekly. Other posts circulate equations—such as taking the hours spent in lectures and workshops and multiplying by three—to estimate how many hours to spend on self-learning at home. The transcript calls these approaches “very wrong,” not because extra study is inherently bad, but because the calculations are generic and flatten critical differences between learners and programs.
Personal experience is used to ground the alternative. The speaker describes not being a natural “top student.” During the first attempt at undergraduate study, they dropped out and returned a year later. Motivation shifted when intrinsic interest developed—specifically around teaching English—after which a daily system replaced vague pressure to “do more.” The routine was straightforward: after school, complete homework first and ensure readings were done for upcoming weeks, even if assignments weren’t due immediately. Over time, catching up became easier, and the daily study load averaged about one to one-and-a-half hours. At times, when there was nothing urgent, they still read ahead to maintain the learning mindset.
For the master’s, the approach stayed similar. Despite missing some classes due to commuting time and the fact that certain lectures were essentially slide reading, they kept up by quickly reading the material at home and using that time to stay ahead. The average weekly study time was around 10 hours, sometimes up to 15, even while raising children and working full-time in a restaurant.
The PhD required more intensity but still didn’t match the “full-time job” numbers. The workload rose to roughly 20–something hours per week, with about four hours on weekdays, while weekends were not treated as study days. Eventually, the PhD became intense enough to pause work and later put the program on hold, but the takeaway remains consistent: success depends on systematic planning and staying on top of tasks, not on hitting a predetermined weekly hour quota.
Cornell Notes
Rigid “study 40–60 hours a week” rules and lecture-hours × 3 formulas are criticized for being generic and demoralizing. The transcript argues that academic success depends more on learning efficiency and program differences than on a universal weekly number. The practical alternative is to be systematic—finish homework and readings on schedule, stay ahead of deadlines, and maintain a consistent routine. Personal examples show averages far below common guidelines: about 1–1.5 hours per day in undergraduate (often less than 10 hours/week), around 10 hours/week in master’s (sometimes 15), and roughly 20–something hours/week in a PhD phase. The key implication: students should calibrate study time to their own pace while prioritizing consistency over comparison.
Why are “40–60 hours a week” and similar guidelines considered unreliable?
What replaces the focus on weekly hour targets?
How did the speaker’s undergraduate study routine change after an initial setback?
What does the master’s example suggest about commuting and lecture efficiency?
How much time did the speaker report studying during the PhD, and what made it different?
Review Questions
- What specific shortcomings of hour-based guidelines are mentioned, and how do they affect students psychologically and practically?
- How does “being systematic” translate into daily actions, and why does it outperform comparing weekly study hours with classmates?
- Compare the reported study-time patterns across undergraduate, master’s, and PhD. What stays consistent in method even as intensity changes?
Key Points
- 1
Online “study 40–60 hours” rules and lecture-hours × 3 formulas are criticized as too generic to be useful across different learners and programs.
- 2
Chasing a universal weekly hour target can create guilt and inferiority without improving outcomes.
- 3
Learning efficiency varies by individual (for example, reading speed and how quickly material is absorbed), so hours can’t be compared cleanly.
- 4
Program differences matter: undergraduate, master’s, and PhD workloads and expectations are not interchangeable.
- 5
Being systematic—finishing homework and readings on schedule and staying ahead of deadlines—is presented as the most important success factor.
- 6
Personal examples show effective study routines can average far below common guideline numbers while still producing strong results.
- 7
During higher-intensity phases like a PhD, systematic planning becomes even more critical, even if weekly hours still don’t match “full-time job” claims.