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How many hours a week should you study at university? (Dr Jarek Kriukow) thumbnail

How many hours a week should you study at university? (Dr Jarek Kriukow)

5 min read

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.

TL;DR

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?

They treat all students and programs as the same. The transcript highlights that learning speed varies (e.g., faster vs. slower readers), and program structure differs sharply across undergraduate, master’s, and PhD—plus full-time vs. part-time and assessment styles. It also points out that common online formulas (like multiplying lecture/workshop hours by three) ignore these differences and can push students into guilt rather than effective planning.

What replaces the focus on weekly hour targets?

Being systematic. The transcript frames systematic study as staying on top of homework and readings every day, completing tasks for upcoming weeks (not just the next deadline), and maintaining a routine that prevents last-minute catching up. This approach is presented as the most important factor across undergraduate, master’s, and PhD learning.

How did the speaker’s undergraduate study routine change after an initial setback?

After dropping out during the first undergraduate attempt, the speaker returned a year later and then developed intrinsic motivation—linked to learning about teaching English. The daily system became: come home, do homework first, and ensure readings were completed for the following week(s). As catching up improved, the average study time settled around about 1 hour to 1.5 hours per day.

What does the master’s example suggest about commuting and lecture efficiency?

The transcript describes skipping some classes because commuting plus sitting through slide-reading lectures consumed far more time than reading the material quickly at home (about 20–30 minutes). The time saved was redirected to staying systematic—keeping up with readings and assignments—while still maintaining an active social life.

How much time did the speaker report studying during the PhD, and what made it different?

The PhD phase was more intense but still not framed as 50–60 hours weekly. The speaker estimates roughly 20–something hours per week, studying about 4 hours on weekdays while not studying weekends. The PhD also eventually required reducing work and later pausing it as intensity increased, reinforcing that systematic planning is essential when demands rise.

Review Questions

  1. What specific shortcomings of hour-based guidelines are mentioned, and how do they affect students psychologically and practically?
  2. How does “being systematic” translate into daily actions, and why does it outperform comparing weekly study hours with classmates?
  3. Compare the reported study-time patterns across undergraduate, master’s, and PhD. What stays consistent in method even as intensity changes?

Key Points

  1. 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. 2

    Chasing a universal weekly hour target can create guilt and inferiority without improving outcomes.

  3. 3

    Learning efficiency varies by individual (for example, reading speed and how quickly material is absorbed), so hours can’t be compared cleanly.

  4. 4

    Program differences matter: undergraduate, master’s, and PhD workloads and expectations are not interchangeable.

  5. 5

    Being systematic—finishing homework and readings on schedule and staying ahead of deadlines—is presented as the most important success factor.

  6. 6

    Personal examples show effective study routines can average far below common guideline numbers while still producing strong results.

  7. 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.

Highlights

Common online targets like “40–60 hours a week” and lecture-hours × 3 equations are labeled as misleading because they ignore differences in learners and program structures.
The transcript argues that consistency beats comparison: systematic daily follow-through matters more than hitting a specific weekly hour quota.
Reported averages are substantially lower than popular guidelines—about 1–1.5 hours per day in undergraduate, ~10 hours/week in master’s (sometimes 15), and ~20–something hours/week in a PhD phase.
The master’s example links time efficiency to practical choices, like replacing commuting time and slide-reading lectures with faster home reading while staying on top of work.

Topics

Mentioned

  • Jarek Kriukow