Small Batch vs Large Class: Why Class Size Matters in IT Training

Walk into any IT training institute in Nepal and count the chairs. If you see 40-50 seats, you’ve found a problem.

Here’s a controversial opinion: most IT training institutes are designed for the institute’s profit, not student success. Large classes maximize revenue per instructor hour. Small batches maximize learning per student.

Let’s do the math.

The Numbers Don’t Lie

In a 40-Student Class

Time per student per 2-hour session:

2 hours = 120 minutes
120 ÷ 40 students = 3 minutes per student
Minus lecture time (60 min) = 1.5 minutes per student

You get 90 seconds of individual attention. Per class. If you’re lucky.

In a 12-Student Batch

Time per student per 2-hour session:

2 hours = 120 minutes
120 ÷ 12 students = 10 minutes per student
Minus lecture time (60 min) = 5 minutes per student

That’s 3x more individual attention. Every single class.

What “Large Class” Problems Look Like

1. You’re Stuck While Others Move On

In a large class, if you don’t understand something:

What should happen: Instructor explains it differently until you get it.

What actually happens:

You raise hand
Instructor says “Let’s discuss after class”
After class, 15 other students also have questions
Instructor rushes through explanations
You go home confused
Next class builds on what you didn’t understand
You fall further behind

2. No One Checks Your Code

Programming isn’t just about writing code that works. It’s about writing code that’s:

Readable
Efficient
Maintainable
Following best practices

In large classes:

Assignments are barely checked
You get a checkmark, not feedback
Bad habits become permanent
You learn “it works” instead of “it’s good”

In small batches:

Instructor reviews your actual code
Points out bad patterns before they become habits
Teaches you why, not just what

3. Questions Feel Embarrassing

In a room of 40 people, asking a “basic” question feels embarrassing. So you don’t ask. And you don’t learn.

In a batch of 12, questions feel natural. Everyone knows everyone. There’s no such thing as a stupid question because everyone is learning together.

4. Projects Are Generic

Large class projects:

Same project for everyone
No customization
Cookie-cutter portfolio
Interviewers have seen it 100 times

Small batch projects:

Personalized guidance
Projects tailored to your interests
Unique portfolio pieces
Something to actually talk about in interviews

The Research Backs This Up

Studies on class size consistently show:

Metric	Large Class	Small Class
Student engagement	Lower	Higher
Question asking	Rare	Frequent
Individual feedback	Minimal	Substantial
Completion rates	Lower	Higher
Job placement	Slower	Faster

This isn’t opinion. It’s data.

Why Don’t All Institutes Use Small Batches?

Simple: Economics.

Large Class Economics

1 instructor + 40 students = High profit margin
Low operational cost per student
Works great for the institute
Works poorly for students

Small Batch Economics

1 instructor + 12 students = Lower profit margin
Higher operational cost per student
Requires charging premium prices
Works great for serious students

Most institutes choose profit over outcomes. They advertise “experienced faculty” and “100% placement” but put you in a room with 50 other people.

Who Should Choose Large Classes?

To be fair, large classes work for some people:

Self-learners who just need a curriculum and deadline
Budget-constrained students who can’t afford premium pricing
Certification chasers who just need a certificate, not skills
People with prior experience who need a refresher, not deep learning

Who Should Choose Small Batches?

Small batches are essential for:

Complete beginners who need patient, individual guidance
Career changers who need to build skills from scratch
Serious learners who want to become genuinely skilled
Anyone learning complex topics like DevOps, Data Engineering, or Backend Development

How to Evaluate Batch Size

Before enrolling, ask these questions:

1. “How many students per batch?”

Red flag: “It varies” or vague answers. Green flag: Specific number, ideally under 20.

2. “What’s the maximum batch size?”

Red flag: No maximum or “depends on demand.” Green flag: Hard cap (e.g., “Never more than 15”).

3. “What if the batch fills up?”

Red flag: “We’ll accommodate everyone.” Green flag: “We open a new batch with the same size limit.”

4. “How is homework reviewed?”

Red flag: “We check completion.” Green flag: “Instructor reviews code and provides feedback.”

5. “Can I talk to current students?”

Red flag: Hesitation or refusal. Green flag: Happily connects you with current batch.

The Real Cost Comparison

Let’s compare total value:

Cheap Large Class (Rs. 25,000)

40 students
90 seconds attention per class
Generic feedback
Cookie-cutter projects
Takes longer to get job-ready
May need additional courses/tutoring

True cost: Rs. 25,000 + lost time + additional learning = Rs. 40,000+

Premium Small Batch (Rs. 50,000)

12 students
5+ minutes attention per class
Personalized feedback
Customized projects
Job-ready faster
Complete learning in one course

True cost: Rs. 50,000

The “expensive” option is often cheaper in total value.

The Compound Effect

Here’s what most people miss: learning compounds.

Week 1: Small batch student understands 90%, large class student understands 70%.

Week 2: Small batch builds on solid foundation. Large class builds on shaky foundation.

Week 4: Small batch is confident and progressing. Large class is confused and falling behind.

Month 2: Small batch is doing real projects. Large class is still struggling with basics.

End of course:

Small batch: Job-ready, confident, skilled
Large class: Certificate in hand, skills uncertain, needs more learning

The 20% difference in Week 1 becomes a 200% difference by course end.

What “Premium” Training Actually Means

Premium IT training isn’t about fancy classrooms or free coffee. It’s about:

Aspect	Standard	Premium
Batch size	30-50	10-15
Instructor	Career teacher	Working professional
Feedback	Check/no-check	Detailed code review
Projects	Tutorial clones	Real-world problems
Support	Group Q&A	Individual mentoring
Job help	Certificate	Referrals and prep

Premium costs more because it delivers more.

Questions to Ask Yourself

Before choosing any IT training:

Am I a self-learner? If yes, large class might work. If no, you need small batches.
Is this a career change? Career changers need more support, hence small batches.
Can I afford to learn slowly? Large classes take longer to produce results.
What’s my goal? Certificate? Large class works. Real skills? Small batch.
What’s my budget INCLUDING opportunity cost? Time not working is money lost.

The Bottom Line

Class size isn’t just a number. It’s a fundamental factor in how much you’ll learn.

Large classes optimize for institute profit. Small batches optimize for student success.

Choose based on what you’re optimizing for.

If you’re serious about becoming a skilled developer, data engineer, or DevOps engineer, invest in small batch training. The math, the research, and the outcomes all support it.

Your career is too important for 90-second attention spans.

Jyaba Academy maintains strict batch limits of 12-15 students. We believe quality learning requires quality attention. See our courses or talk to us about which learning environment is right for you.