Course Details · Big Data
Uncodemy Big Data Batch Timings and Fee Structure 2026
Quick summary — course at a glance
Our Big Data program is designed to be flexible and accessible. Whether you are a working professional or a student, we have a batch timing that fits your schedule. Below is the complete breakdown of our 2026 batch timings and fee structure.
In this guide you will learn:
- Batch Timings — weekday, weekend, and fast-track options.
- Fee Structure — base fees, discounts, and EMI plans.
- What's Included — syllabus, projects, and placement support.
- Admission Process — steps to enroll.
SECTION 01Batch Timings
We offer multiple batch options to accommodate both students and working professionals:
| Batch Type | Days | Timing | Best For |
|---|---|---|---|
| Weekday Morning | Mon - Fri | 8:00 AM - 10:00 AM | Students & Early Birds |
| Weekday Evening | Mon - Fri | 7:00 PM - 9:00 PM | Working Professionals |
| Weekend Batch | Sat - Sun | 10:00 AM - 2:00 PM | Working Professionals |
| Fast Track | Mon - Sat | 4 Hours / Day | Urgent Career Switchers |
SECTION 02Fee Structure
We believe in transparent pricing. Here is the complete fee breakdown for the Big Data program:
| Program | Duration | Base Fee | Early Bird Discount |
|---|---|---|---|
| Big Data Fundamentals | 2 Months | ₹18,500 | ₹15,500 |
| Advanced Big Data (Hadoop + Spark) | 4 Months | ₹32,500 | ₹28,000 |
| Big Data + Cloud (AWS/Azure) | 6 Months | ₹45,000 | ₹38,000 |
SECTION 03What's Included
Our fees cover everything you need to become a successful Big Data Engineer:
| Inclusion | Description |
|---|---|
| Comprehensive Syllabus | Hadoop, Spark, Kafka, Hive, NoSQL, and Cloud integration. |
| Live Projects | Work on real-world datasets and build end-to-end pipelines. |
| Certification Prep | Guidance for Cloudera and Databricks certifications. |
| Placement Support | Resume building, mock interviews, and job referrals. |
SECTION 04Admission Process
Getting enrolled is simple and straightforward:
| Step | Action | Done? |
|---|---|---|
| 1 | Book a free demo class to understand the teaching style. | ☐ |
| 2 | Speak to our counsellor to choose the right batch. | ☐ |
| 3 | Complete the registration and pay the fee. | ☐ |
| 4 | Get access to the learning portal and start learning. | ☐ |
SECTION 05Interview Q&A — Admission FAQs
Q1Can I switch batches after enrolling?
Yes, you can switch batches once during the course, subject to seat availability. We recommend speaking to your coordinator for a smooth transition.
Q2Is there a refund policy?
Yes, we have a structured refund policy. If you cancel within 7 days of enrollment, you are eligible for a partial refund as per our terms.
Q3Do you provide EMI options?
Yes, we offer EMI options through our financing partners. You can pay in 3, 6, or 9-month installments.
Q4What if I miss a class?
All classes are recorded and made available on the learning portal. You can watch the recordings anytime to catch up.
SECTION 06Test yourself — Big Data Course quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 07Frequently asked questions
What are the weekday batch timings?
Weekday batches are available both in the morning (8 AM - 10 AM) and evening (7 PM - 9 PM), Monday to Friday.
How much does the full Big Data program cost?
The comprehensive Big Data + Cloud program costs ₹45,000, but early bird discounts can bring it down to ₹38,000.
Can I pay the fee in installments?
Yes, EMI options are available. You can start with a minimum of ₹4,999 per month depending on the plan.
Do you provide a certificate after completion?
Yes, you will receive an industry-recognized certificate from Uncodemy upon successful completion of the program and projects.
SECTION 08Related reads
Classroom & online · Noida
Ready to start your Big Data journey?
Our Big Data Training Course covers Hadoop, Spark, Kafka, and cloud integration — with placement support.
₹32,500 · full programme- Hadoop + Spark + Kafka + Hive
- Real industry projects
- Resume + Interview + Placement Support
- Weekday & weekend batches





