What is the eligibility for this program?

A bachelor's degree in any discipline is generally required. Basic knowledge of programming or databases is beneficial but not mandatory, as the program starts with foundational concepts.

Is this program suitable for beginners?

Yes, the curriculum is structured to take beginners through foundational concepts in SQL and Python before moving to advanced topics like Big Data Engineering and BI tools.

What is the difference between a Data Analyst and a Data Engineer?

A Data Analyst focuses on analyzing data to extract insights and create reports (using BI tools). A Data Engineer focuses on building and maintaining the robust infrastructure (pipelines, databases) that makes the data available for the analyst.

What kind of job assistance is provided?

We provide comprehensive job assistance including resume building, mock interviews, portfolio review, and connections to our network of hiring partners. We are committed to helping you secure a role.

Are the certifications globally recognized?

Yes, the program includes preparation for and certification in industry-standard tools and technologies like Tableau, Power BI, and Big Data concepts, which are globally recognized.

Duration: 155 Hours · 5.5 Months

Master Data Analytics & Business Intelligence with Big Data Engineering Master Program

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Master the complete data lifecycle from enterprise BI reporting and dashboards to designing robust Big Data pipelines, ETL workflows, and cloud-based data platforms. Build dual expertise in analytics and engineering to future-proof your career.

Topics: Power BI, Tableau, SQL, Python, data warehousing, ETL, Hadoop, Spark, data lakes, cloud data engineering, data modeling, reporting automation, and real-world BI & Big Data projects.

View Curriculum

⏱️155 Hours of Structured Training

🎖️8 Industry-Recognized Certifications

📂10+ Real-World BI & Big Data Projects

💼Guaranteed Job Assistance & Placement Support

⭐4.8/5 Average Rating

👥500+ Successful Learners

🏆14+ Years Industry Experience

This BI and Big Data engineering master program is designed for students and working professionals who want to transition into high-growth roles such as Data Analyst, BI Developer, or Data Engineer. Build a job-ready portfolio using end-to-end projects that cover data ingestion, modeling, visualization, and performance optimization for real business use cases.

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Program Highlights & Data Engineering Career Opportunities

Invest in a Data Analytics with Business Intelligence and Big Data Engineering Master Program built for maximum career impact and return on investment. Gain in-demand skills across BI tools, data warehousing, ETL pipelines, cloud platforms, and Big Data technologies that hiring managers actively look for in Data Engineer, BI Developer, and Analytics Engineer roles.

5.5
Months Duration
5.5-month structured Data Analytics with BI and Big Data Engineering master program designed for working professionals and graduates.
155
Hours of Intensive Training
155 hours of intensive, mentor-led training covering Business Intelligence, data warehousing, ETL, Big Data tools, and cloud data engineering.
40%+
Projected Job Growth in Data Engineering
40%+ projected job growth in Data Engineering and BI roles across India and global analytics hubs.
₹ 12 LPA
Average Salary Hike for Certified Engineers
Average salary hike of up to ₹12 LPA for certified Data Engineers, BI Developers, and Analytics professionals.

Business Intelligence course in India, Big Data Engineering training, Data Analytics with BI master program, Data Engineer and BI Developer jobs, high-paying analytics careers, job-oriented data engineering certification with placement assistance.

BI & Big Data Engineering: Build a Future-Proof Career in the Data Economy

Modern enterprises in banking and finance, healthcare, e-commerce, FMCG, telecom, IT services, and consulting rely on Data Engineers and BI professionals to design scalable data pipelines, ETL workflows, and analytical dashboards. This Data Analytics with BI and Big Data Engineering master program helps you bridge the skills gap with real-world projects, interview preparation, and portfolio guidance-so you can confidently target Data Engineer, BI Developer, Analytics Engineer, and Reporting Analyst roles.

End-to-end stack: BI tools, SQL, data warehousing, ETL, Big Data technologies, and cloud data engineering basics
Industry projects: build dashboards, data pipelines, and reporting solutions using real business scenarios
Career support: resume optimization, mock interviews, LinkedIn profile review, and job assistance for BI & Data Engineering roles
Flexible learning: weekend / evening batches, online and classroom options for working professionals and students

Keywords: Data Analytics with BI and Big Data Engineering Course • Business Intelligence Training • Data Engineer Certification • BI Developer Jobs • Big Data Engineering Program • ETL and Data Warehouse Course • Cloud Data Engineering • High-Paying Analytics Career • Job-Oriented BI and Data Engineering Master Program.

The Competitive Edge

Why Choose This Master Program?

We bridge the gap between data analysis and data engineering, creating a full-stack data professional.

This Data Analytics with BI and Big Data Engineering Master Program is ideal for graduates, working professionals, and career switchers who want to become job-ready BI Analysts, Data Analysts, and Data Engineers with expertise in Business Intelligence tools, data pipelines, and scalable Big Data platforms.

Dual Expertise: BI + Big Data

Full-Stack Data Skills

Gain a rare and highly sought-after skill set, mastering both front-end data visualization (BI) and back-end data infrastructure (Big Data Engineering).

Industry-Relevant Curriculum

Job-Ready Curriculum

Designed by industry veterans, our curriculum focuses on the tools and techniques actively used by top tech companies today, ensuring job readiness.

Hands-On Project Portfolio

Portfolio Building

Build a robust portfolio of 10+ projects, including an end-to-end data pipeline, to showcase your capabilities to potential employers.

Accelerated Career Growth

High-Growth Careers

Position yourself for high-paying roles like BI Analyst, Data Analyst, and Data Engineer, accelerating your career trajectory significantly.

Become a Full-Stack Data Professional in BI & Big Data

Most courses focus only on data analytics or only on data engineering. This Data Analytics with BI and Big Data Engineering Master Program uniquely combines Business Intelligence dashboards, reporting, and data visualization with Big Data infrastructure, ETL workflows, and scalable data pipelines. You don't just learn tools—you learn how to design complete, end-to-end analytics solutions that employers need today.

✓

Full Career Stack: Analyst to Engineer

Build capabilities for BI Analyst, Data Analyst, and Data Engineer roles with one integrated master program.

✓

Real Projects & Hiring-Focused Training

Work on 10+ hands-on projects, including end-to-end data pipelines, BI dashboards, and Big Data use cases, and showcase them in your portfolio for interviews.

Keywords: Data Analytics with BI and Big Data Engineering • Business Intelligence and Data Engineering Master Program • BI Analyst and Data Engineer Course • End-to-End Data Pipeline Training • Job-Oriented BI and Big Data Course • High-Paying Analytics and Data Engineering Careers • Placement Support for BI & Big Data Roles.

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Master Program Structure

Comprehensive Curriculum: From Data Visualization to Big Data Pipelines

Our 6-module structure ensures a progressive learning path, covering every aspect of the modern data landscape.

Module 1: Data Visualization & BI Mastery
Master the leading Business Intelligence tools to create compelling reports and dashboards.
Data Analytics with Tableau
Data Visualization in Excel
Data Analytics with Power BI
Module 2: Data Foundation & SQL
Build a strong foundation in relational databases, the backbone of all data systems.
Database Management System using MySQL
Advanced SQL Queries
Data Modeling Basics
Module 3: Advanced Analytics with Python
Leverage Python for data manipulation, statistical analysis, and advanced visualization.
Data Visualization in Python (Matplotlib, Seaborn)
Pandas for Data Manipulation
NumPy for Numerical Computing
Module 4: Big Data Engineering Core
Dive into the world of distributed systems and learn the fundamentals of Big Data processing.
Big Data Engineering with Hadoop (HDFS, MapReduce)
Hadoop Ecosystem Overview
Data Ingestion Techniques
Module 5: Real-Time Processing with Spark
Master Apache Spark and Databricks for high-speed, large-scale data processing and ETL pipelines.
Big Data Engineering with Apache Spark & Databricks
PySpark Programming
Building ETL/ELT Pipelines
Module 6: Capstone Project & Certification
Apply all learned skills to an end-to-end industry-grade project and prepare for certification exams.
End-to-End Data Pipeline Implementation
Certification Exam Preparation
Portfolio Review

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Technology Stack

Master the Industry's Leading Data Stack

Our program covers the essential tools required for both Business Intelligence and Big Data Engineering roles.

Learn how to combine Tableau, Power BI, Excel, MySQL, Python, Apache Spark, Databricks, and Hadoop to build end-to-end data pipelines, BI dashboards, and scalable Big Data solutions-skills that are highly demanded for BI Analyst, Data Engineer, and Analytics Engineer roles.

Tableau

BI & Visualization

Enterprise-grade BI platform for interactive dashboards, visual analytics, and business storytelling.

Power BI

BI & Visualization

Microsoft’s flagship Business Intelligence tool for self-service analytics, KPI dashboards, and reporting.

Microsoft Excel

BI & Visualization

The most widely used spreadsheet tool for data analysis, reporting, and quick visualization.

MySQL

Databases

Relational database engine used to store, manage, and query structured data for analytics workloads.

Python

Programming

Versatile programming language for data engineering, automation, analytics, and scripting.

Apache Spark

Big Data

Distributed Big Data processing engine optimized for large-scale data pipelines and real-time analytics.

Databricks

Big Data

Unified analytics and lakehouse platform for collaborative data engineering and machine learning.

Apache Hadoop

Big Data

Big Data framework for distributed storage and batch processing across large clusters.

Technology Stack Overview

BI & Visualization Tools

→Tableau
→Power BI
→Microsoft Excel

Databases & Core Programming

→MySQL
→Python

Big Data & Distributed Computing

→Apache Spark
→Databricks
→Apache Hadoop

Keywords: Data Analytics with BI and Big Data Engineering • Tableau and Power BI Training • MySQL and Python for Data Engineering • Apache Spark Databricks and Hadoop Course • Business Intelligence and Big Data Technology Stack • Job-Oriented BI and Data Engineering Program.

Your Learning Journey with the Data Stack

BI & Analytics Foundations

Start with Excel, Tableau, and Power BI to build dashboards and business reports.

Databases & SQL

Use MySQL to design schemas, write queries, and prepare data for analytics.

Python for Data Engineering

Leverage Python for automation, ETL scripts, data transformation, and integration.

Big Data & Cloud Workloads

Work with Apache Spark, Hadoop, and Databricks to handle large-scale Big Data pipelines.

This structured learning roadmap ensures you grow from BI fundamentals to full-fledged Big Data Engineering, making you highly competitive for data analytics, BI developer, and data engineer job roles.

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SEO Boost: Long-Term Vision

Your 5-Step Career Roadmap to Becoming a Big Data Engineer

This master program is the launchpad for a decade-long career progression in the high-growth data domain.

Follow a proven path from Data Analyst and Junior BI Analyst roles into Business Intelligence Specialist, Junior Data Engineer, Big Data Engineer, and finally Data Architect / Data Lead. This roadmap is tailored for a high-demand Data Analytics with BI and Big Data Engineering master program targeting global data engineer jobs, BI careers, and cloud-driven big data roles.

Step 1: Foundation & Analysis

Data Analyst / Junior BI Analyst

Master SQL, Excel, and basic Python. This program provides the core skills to start as a Data Analyst or Junior BI Analyst.

Step 2: BI Specialization

Business Intelligence Specialist

Deep dive into Tableau and Power BI for advanced reporting, dashboard creation, and strategic data storytelling.

Step 3: Data Engineering Associate

Junior Data Engineer

Learn Hadoop and the fundamentals of distributed systems, focusing on data warehousing and data lake concepts.

Step 4: Big Data Engineer Mastery

Big Data Engineer

Master Apache Spark, Databricks, and build complex, scalable ETL/ELT pipelines for massive datasets.

Step 5: Architect & Leadership

Data Architect / Data Lead

Focus on system design, cloud integration (AWS/Azure/GCP), data governance, and leading data teams.

This Big Data Engineer career roadmap is ideal for graduates, working professionals, and career switchers who want a clear end-to-end path in Data Analytics, Business Intelligence, and Data Engineering. From mastering SQL, Excel, Python, Tableau, Power BI, Hadoop, Spark, Databricksto leading data teams on AWS, Azure, and GCP, this roadmap helps you plan your journey toward high-paying Big Data Engineer and Data Architect roles in India and global markets.

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Practical Application

Build a Portfolio: 10+ Real-World Data Projects

Your portfolio is your resume. Complete industry-grade projects that demonstrate your mastery of the entire data stack.

Each capstone in this Data Analytics with BI and Big Data Engineering Master Program is designed to simulate real Business Intelligence, Data Engineering, and Analytics scenarios so you can confidently showcase your skills to hiring managers for BI Analyst, Data Analyst, and Data Engineer roles.

Domain: E-commerce & Retail

E-commerce Sales & Inventory Dashboard

Design and implement a dynamic Business Intelligence dashboard using Power BI and Tableau to track key performance indicators (KPIs) like sales, inventory levels, and customer lifetime value, sourced from a MySQL database.

Tools & Technologies:

Power BITableauMySQLSQL

Domain: Social Media & Digital Marketing

Social Media Sentiment Analysis Pipeline

Build a Big Data pipeline using Apache Spark (PySpark) to ingest real-time social media data, perform natural language processing (NLP) for sentiment analysis, and store the results in a data lake (HDFS).

Tools & Technologies:

Apache SparkPySparkHadoop (HDFS)Python

Domain: Banking, Finance & Regulatory

Financial Data ETL and Data Warehouse

Develop a robust Extract, Transform, Load (ETL) process using Databricks to clean, transform, and load large volumes of financial transaction data into a structured data warehouse for regulatory reporting and advanced analytics.

Tools & Technologies:

DatabricksApache SparkETL/ELTData Modeling

Domain: Customer Analytics & Predictive Modelling

Advanced Predictive Analytics with Python

Utilize Python libraries (Pandas, Scikit-learn) to build a predictive model (e.g., customer churn prediction) and visualize the results using Matplotlib and Seaborn, demonstrating end-to-end analytical capability.

Tools & Technologies:

PythonPandasMatplotlibSeabornMachine Learning

Domain Knowledge Coverage

Our projects span multiple business domains so you gain exposure to real-world data challenges, not just textbook examples. From e-commerce dashboards and social media analytics to financial data warehouses and cloud-based Big Data pipelines, you build the domain understanding recruiters look for in BI & Big Data Engineering roles.

🛒

E-commerce & Retail

🏦

Banking & Finance (BFSI)

📱

Social Media & Marketing

☁️

Cloud & SaaS Products

📡

Telecom & Customer Analytics

🏥

Healthcare & Insurance

📑

Regulatory & Compliance

📦

Supply Chain & Operations

📊

Executive BI Reporting

Keywords: Real-world BI projects • Big Data pipeline projects • E-commerce analytics • Financial data warehousing • Social media sentiment analysis • Cloud data engineering projects • Portfolio projects for BI Analyst and Data Engineer roles.

Portfolio Building

Create impressive, domain-specific projects that you can showcase in your resume, LinkedIn profile, and job interviews.

Real-World Experience

Work with realistic datasets, cloud tools, and analytics workflows used by BI teams and data engineering squads.

Skill Mastery

Apply Business Intelligence, Big Data, and Python analytics concepts end-to-end and build confidence for production use cases.

This project-driven master program helps you build a strong, proof-based portfolio for Data Analytics, Business Intelligence, and Big Data Engineering careers with job-oriented, real-time projects.

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Career Advancement

High-Impact Career Opportunities

Our graduates are prepared for the most in-demand roles in the data industry, commanding competitive salaries.

This Data Analytics with BI and Big Data Engineering Master Program opens doors to high-growth roles like Business Intelligence Analyst, Data Analyst, and Big Data Engineer across top IT, consulting, product, and cloud companies in India and global markets.

Target Roles

Business Intelligence Analyst

Focus on reporting, dashboards, and data-driven strategy.

Expected Salary Range (India)

₹6 L - ₹15 L

Data Analyst

Focus on statistical analysis, insight generation, and data storytelling.

Expected Salary Range (India)

₹5 L - ₹12 L

Big Data Engineer

Focus on building and maintaining scalable data pipelines and infrastructure.

Expected Salary Range (India)

₹8 L - ₹25 L+

Career Growth & Opportunities

Rapid Career Growth

Data professionals see 40–50% salary growth within 2–3 years of experience in analytics, BI, and Big Data roles.

Multiple Career Paths

Start as a Data Analyst or BI Analyst and move into specialized roles such as Big Data Engineer, Analytics Engineer, or Data Architect.

Global Opportunities

Work with top MNCs and tech giants worldwide, with options for remote and on-site positions in data-driven teams.

Keywords: Data Analytics Career Path • Business Intelligence Analyst Salary • Big Data Engineer Jobs in India • Analytics Career Growth • Job-Oriented BI and Big Data Course • High-Paying Data Roles.

Our Graduates Work At

Alumni from this Data Analytics with BI and Big Data Engineering program have the skills to apply for roles at leading product companies, IT service firms, consulting giants, and cloud providers.

Amazon

Accenture

TCS

Wipro

Google

Microsoft

Top recruiters include Amazon, Accenture, TCS, Wipro, Google, Microsoft and many more organizations building data platforms, BI dashboards, and Big Data solutions.

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Target Audience

Who Is This Master Program For?

This program is designed for ambitious individuals ready to take on the most challenging and rewarding roles in the data industry.

Whether you're an IT professional, recent graduate, BI / Data Analyst, or career changer, this Data Analytics with BI and Big Data Engineering Master Program gives you a structured path toward high-paying data analytics, BI, and data engineering jobs.

IT Professionals

Looking to transition from traditional IT roles (e.g., QA, Support) into high-demand, future-proof data engineering and analytics positions.

What You Need:

Basic understanding of software development or IT workflows
Interest in Data Analytics, BI, or Big Data Engineering roles
Willingness to learn tools like SQL, Python, Power BI, and Spark

Recent Graduates

Seeking a comprehensive, job-ready skill set right out of college to secure a high-paying entry-level role in the data domain.

What You Need:

Strong desire to build a job-ready, practical skill set
Comfort with basic logic, math, or programming concepts
Commitment to hands-on labs, capstone projects, and mock interviews

BI Analysts & Data Analysts

Wanting to upgrade their skills to include Big Data Engineering tools (Spark, Hadoop) to handle massive datasets and advance their careers.

What You Need:

Existing experience in BI or data analysis (reports/dashboards)
Curiosity about Big Data tools like Hadoop, Spark, and Databricks
Goal to move into senior BI Engineer or Data Engineer positions

Career Changers

Anyone with a basic understanding of programming or databases who is eager to enter the lucrative and rapidly growing field of data.

What You Need:

Basic knowledge of programming or databases (any language/SQL)
Open mindset to switch into the data analytics & engineering domain
Motivation to follow a structured Data Analytics with BI & Big Data roadmap

Prerequisites & Requirements

Essential

✓Comfort using a computer and web-based tools
✓Interest in working with numbers, reports, and business data
✓Laptop/PC with stable internet connection

Nice to Have

✓Prior exposure to BI tools like Excel, Tableau, or Power BI
✓Awareness of cloud platforms such as AWS, Azure, or GCP
✓Experience with any analytics or reporting projects in your domain

Ideal for learners aiming for Business Intelligence, Data Analytics, and Big Data Engineering careers with technologies like SQL, Python, Power BI, Tableau, Hadoop, Spark, Databricks, and cloud platforms.

Keys to Success in This Program

⏰

Regular Practice

Allocate consistent weekly time for coding exercises, SQL queries, BI dashboards, and Big Data labs.

🤝

Active Participation

Engage in doubt-solving, peer discussions, and mentor sessions to accelerate your learning.

🎯

Project-First Mindset

Complete all real-world projects to build a strong portfolio in BI, Data Analytics, and Big Data Engineering.

📚

Continuous Learning

Stay updated with new tools, cloud services, and industry use cases in the data ecosystem.

Keywords: Who should enroll in Data Analytics with BI and Big Data Engineering • IT professionals transitioning to data engineering • recent graduates looking for data analytics jobs • BI analysts upskilling to Big Data roles • career changers entering the data field.

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Quick Answers

Frequently Asked Questions

Everything you need to know about the program, eligibility, and career outcomes.

Get clarity on how this Data Analytics with BI and Big Data Engineering Master Program helps you transition into Business Intelligence, Data Analyst, and Big Data Engineer roles using tools like SQL, Python, Tableau, Power BI, Hadoop, and Spark.

Eligibility & Basics

Learning Format & Suitability

Roles & Career Clarity

Placement & Job Assistance

Certification & Recognition

Still Have Questions?

Our counseling team can guide you on whether this BI & Big Data Engineering master program is the right fit for your goals—whether you're an IT professional, fresher, BI analyst, or career changer. Reach out for personalized guidance on career paths, placements, and curriculum details.

📞 Call Us ✉️ Email Us

Keywords: Data Analytics with BI and Big Data Engineering FAQ • eligibility for data engineering course • job assistance and placement support • globally recognized Tableau and Power BI certifications • difference between Data Analyst and Data Engineer.

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Master Data Analytics & Business Intelligence with Big Data Engineering Master Program

Request a Callback

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Months Duration

Hours of Intensive Training

Projected Job Growth in Data Engineering

Average Salary Hike for Certified Engineers

BI & Big Data Engineering: Build a Future-Proof Career in the Data Economy

The Competitive Edge

Why Choose This Master Program?

Dual Expertise: BI + Big Data

Industry-Relevant Curriculum

Hands-On Project Portfolio

Accelerated Career Growth

Become a Full-Stack Data Professional in BI & Big Data

Master Program Structure

Comprehensive Curriculum: From Data Visualization to Big Data Pipelines

Module 1: Data Visualization & BI Mastery

Module 2: Data Foundation & SQL

Module 3: Advanced Analytics with Python

Module 4: Big Data Engineering Core

Module 5: Real-Time Processing with Spark

Module 6: Capstone Project & Certification

Technology Stack

Master the Industry's Leading Data Stack

Tableau

Power BI

Microsoft Excel

MySQL

Python

Apache Spark

Databricks

Apache Hadoop

Technology Stack Overview

BI & Visualization Tools

Databases & Core Programming

Big Data & Distributed Computing

Your Learning Journey with the Data Stack

BI & Analytics Foundations

Databases & SQL

Python for Data Engineering

Big Data & Cloud Workloads

SEO Boost: Long-Term Vision

Your 5-Step Career Roadmap to Becoming a Big Data Engineer

Step 1: Foundation & Analysis

Step 2: BI Specialization

Step 3: Data Engineering Associate

Step 4: Big Data Engineer Mastery

Step 5: Architect & Leadership

Practical Application

Build a Portfolio: 10+ Real-World Data Projects

E-commerce Sales & Inventory Dashboard

Social Media Sentiment Analysis Pipeline

Financial Data ETL and Data Warehouse

Advanced Predictive Analytics with Python

Domain Knowledge Coverage

Portfolio Building

Real-World Experience

Skill Mastery

Career Advancement

High-Impact Career Opportunities

Target Roles

Business Intelligence Analyst

Data Analyst

Big Data Engineer

Career Growth & Opportunities

Rapid Career Growth

Multiple Career Paths

Global Opportunities

Our Graduates Work At

Target Audience

Who Is This Master Program For?

IT Professionals

Recent Graduates

BI Analysts & Data Analysts

Career Changers

Prerequisites & Requirements

Essential

Recommended

Nice to Have