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Hero Vired
Postgraduate Program in Data Science & Data Engineering

The Postgraduate Program in Data Science & Data Engineering is an intensive 32-week (8-month) online program designed to build a strong foundation in data science while developing expertise in modern data engineering. The curriculum covers SQL, Python, Statistics, Machine Learning, Data Engineering, Distributed Computing, Cloud Platforms, Real-Time Data Processing, Data Governance, and Generative AI for Data Engineering. Learners gain hands-on experience through industry projects, an end-to-end capstone, IBM edX content, dedicated career services, and up to three assured interview opportunities with hiring partners.

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Hero Vired Postgraduate Program in Data Science & Data Engineering

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University Rankings & Accreditation

Hero Vired — recognition that matters

IBM Content Professional learning content delivered through edX

edX Learning Partner Global online learning platform

Nasscom FutureSkills Prime Industry-aligned certification opportunity

220+ Learning Hours 180+ Live Sessions, 20+ Self-Paced Hours and 20+ Project Hours

Hands-on Projects Portfolio-ready real-world projects and capstone

Modern Data Engineering Spark, Airflow, Kafka, AWS, Delta Lake, dbt and Databricks

Career Services Resume, LinkedIn, GitHub Portfolio Review and Mock Interviews

Placement Support Up to Three Assured Interview Opportunities

Program Highlights

Everything that matters — at a glance

⏱
Program Duration
32 Weeks (08 Months)
📋
Learning Mode
Live Online + Self Paced
💰
Weekly Commitment
10–12 Hours
💻
Total Learning Hours
220+ Hours
🏦
Live Sessions
180+ Hours
🤝
Projects & Industry Sessions
20+ Hours
🌍
Content Partner
IBM through edX
📜
Industry Alignment
Nasscom FutureSkills Prime
🎓
Career Support
Dedicated Career Services
🏆
Interview Opportunities
Up to 3 Assured Interviews

How You Learn Online

UGC-compliant 4-Quadrant learning model — structured for working professionals

Video & E-Tutorial

Animated video lectures, virtual labs, audio content and full transcriptions — available 24/7

E-Content & Resources

Digital study material, e-books, case studies, web references and reading material uploaded weekly

Live Discussion Forum

Weekly live sessions with course coordinators for doubt-clearing and peer interaction

Assessments

Weekly quizzes, assignments, MCQs and project evaluations — structured and timely feedback

Program Curriculum

Industry-aligned, application-based — built for career outcomes

Module 1

Deep Dive into Database & Query Writing
SQL (MySQL or Equivalent)
Database Management Systems (DBMS)
Advanced SQL Queries
CTEs & Window Functions
Business Reporting & Analytics

Module 2

Python for Data Analysis
Python Programming
Variables & Data Types
Control Statements
Functions
Lambda Functions
CSV File Handling
Jupyter Notebook

Module 3

Statistical Analysis & Decision Making
Probability
Data Distributions
Hypothesis Testing
t-Test
ANOVA
Business Statistics
NumPy
SciPy

Module 4

Exploratory Data Analysis (EDA)
Data Cleaning
Missing Value Treatment
Outlier Detection
Correlation Analysis
Pivot Tables
Feature Transformation
Pandas
Matplotlib
Seaborn

Module 5

Machine Learning using Python
Regression
Classification
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Scikit-learn
Jupyter Notebook

Module 6

Foundations of the Modern Data Stack
dbt
DuckDB
Apache Airflow
Dimensional Modelling
Fact & Dimension Tables
Incremental Models
Pipeline Scheduling

Module 7

Distributed Processing & Cloud Platforms
Apache Spark
Spark DataFrames
Databricks
Delta Lake
AWS S3
AWS IAM
Cloud Data Processing

Module 8

Real-Time Data & Stream Processing
AWS Kinesis
Streaming Pipelines
Kafka Concepts
boto3
Grafana
Prometheus
Real-Time Analytics

Module 9

Data Quality, Observability & Governance
Great Expectations
OpenMetadata
Apache Airflow
Prometheus
Grafana OSS
Data Lineage
Data Governance

Module 10

Optimization, Security & Cost Management
Delta Lake Optimization
Apache Spark Optimization
AWS Cost Explorer
Amazon Redshift
IAM Security
Encryption
Pipeline Performance Tuning

IBM edX Module

Mastering Generative AI for Data Engineering
Generative AI for ETL
AI-assisted Data Engineering
Data Generation
Data Augmentation
Data Anonymization
Real-world IBM Case Studies

Capstone Project

Bring Your Own Problem
Industry Project
End-to-End Data Pipeline
Data Ingestion
Storage
Transformation
Orchestration
Serving Layer
Performance & Cost Optimization

4 Specializations

Click any specialization to see fees and key modules

Data Science Hero Vired Contact Counsellor ▼

Total FeeContact Counsellor

Per SemesterNA

Zero Cost EMIEMI Available

Key Modules:

SQL
Python
Statistics
EDA
Machine Learning

Data Engineering IBM | edX Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Modern Data Stack
Apache Spark
AWS
Airflow
Delta Lake
Kafka
Databricks
Data Governance

Generative AI for Data Engineering IBM via edX Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Generative AI
ETL Automation
Data Augmentation
Data Anonymization
Enterprise AI Applications

Career Accelerator Hero Vired Career Services Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

ATS Resume Review
LinkedIn Branding
GitHub Portfolio
Mock Interviews
Salary Negotiation
Interview Preparation

Fee Structure

Transparent pricing — paid semester-wise with Zero Cost EMI available

Specialization	Per Semester	Total Fee	EMI / Month (6 mo)
Postgraduate Program in Data Science & Data Engineering	NA	Contact Counsellor	Easy EMI Available

Program fees, scholarship offers and financing options may vary across admission cycles. Please contact Hero Vired for the latest tuition fees, EMI plans and promotional offers.

Scholarships Available

Reviewed and approved on a case-by-case basis

Category	Who's Eligible	Scholarship
No Cost EMI	Available for eligible learners	Available
Education Loan	Flexible financing partners	Available
Corporate Sponsorship	Working professionals	Case Basis

Eligibility Criteria

Simple and transparent — no entrance exam required

🇮🇳 Students with Indian Education

Passed 10 + 2 from a recognised board
Completed undergraduate degree (minimum 3 years)
Aggregate minimum of 50% marks
Final year students can apply with last semester results
Work experience gives added advantage

🌍 Students with Foreign Education

Certificate of Equivalence from AIU (Association of Indian Universities) required
Visit aiu.ac.in for details

Career Opportunities

Roles our graduates step into after completing this program

Data Engineer

Build scalable data pipelines, ETL workflows, cloud-based data platforms and modern data architectures.

Data Scientist

Develop predictive models using statistics, machine learning and business analytics.

Machine Learning Engineer

Train, optimize and deploy machine learning models for production environments.

Data Analyst

Analyze business data using SQL, Python and visualization tools to generate actionable insights.

Business Intelligence Analyst

Design dashboards and reporting solutions for strategic business decisions.

Cloud Data Engineer

Develop cloud-native data platforms using AWS, Databricks and Delta Lake.

Big Data Engineer

Handle distributed data processing using Apache Spark and modern big data technologies.

ETL Developer

Design, automate and optimize enterprise ETL workflows using Airflow, dbt and SQL.

Analytics Engineer

Bridge analytics and engineering by building reliable, production-ready data models.

MLOps Engineer

Deploy, monitor and manage machine learning pipelines with modern engineering practices.

Our Hiring Partners

Top companies that recruit our graduates

Google Amazon IBM Infosys Accenture Deloitte Capgemini Cognizant TCS Wipro HCLTech NTT DATA Fractal Analytics DecisionTree Analytics TVS Protiviti Microsoft AWS Tech Mahindra EY PwC KPMG

Student Testimonials

Real students. Real outcomes.

The curriculum combines strong Data Science fundamentals with modern Data Engineering technologies, making learners industry-ready.

Hero Vired Learner

PGP in Data Science & Data Engineering

Hands-on projects, IBM content through edX and expert mentoring helped build practical experience with real-world tools.

Program Participant

Data Engineering Learner

Career services including ATS resume review, GitHub portfolio guidance and mock interviews significantly improve placement readiness.

Career Services

Hero Vired

The capstone project provides practical exposure to designing complete production-ready data pipelines on modern cloud platforms.

Industry Mentor

Faculty Mentor

Frequently Asked Questions

Everything you need to know before you apply — answered clearly

What is the Hero Vired Postgraduate Program in Data Science & Data Engineering? Program

The program is an intensive 32-week (8-month) online postgraduate program designed to develop expertise in Data Science, Machine Learning, Data Engineering, Cloud Platforms, Distributed Computing, and modern data infrastructure.

Who is eligible for this program? Eligibility

Anyone with a bachelor’s degree in any discipline is eligible to apply. The program is suitable for both fresh graduates and working professionals.

Is prior coding experience required? Eligibility

No. The curriculum starts with SQL and Python fundamentals before progressing to advanced Data Science and Data Engineering concepts.

What is the duration of the program? Program

The program runs for 32 weeks (approximately 8 months) with an expected commitment of 10–12 hours per week.

What is the mode of learning? Learning

The program follows an online learning model with live instructor-led sessions, self-paced learning, projects, and industry mentorship.

How many learning hours are included? Learning

Learners receive more than 220 hours of learning, including live sessions, self-paced modules, projects, and industry sessions.

Which programming languages are covered? Curriculum

The curriculum primarily covers SQL and Python, along with various Data Engineering frameworks and cloud technologies.

Which Data Engineering tools are taught? Curriculum

The program includes Apache Spark, Apache Airflow, dbt, DuckDB, Databricks, Delta Lake, AWS S3, AWS Kinesis, Redshift, OpenMetadata, Great Expectations, Grafana, Prometheus and related technologies.

Does the curriculum include Machine Learning? Curriculum

Yes. Learners study regression, classification, clustering, feature engineering, model evaluation and predictive analytics using Python and Scikit-learn.

Does the program cover Cloud technologies? Curriculum

Yes. The curriculum includes AWS cloud services, distributed computing, Delta Lake, Databricks and cloud-native data engineering practices.

What is the IBM edX module? Certification

Learners complete the IBM edX module "Mastering Generative AI for Data Engineering", which focuses on applying Generative AI to ETL workflows, data generation, augmentation and enterprise data engineering.

Are projects included in the program? Projects

Yes. Multiple portfolio-ready projects are integrated throughout the curriculum, followed by a comprehensive industry capstone project.

What is the capstone project? Projects

The capstone requires learners to design and implement an end-to-end production-ready data pipeline covering ingestion, storage, transformation, orchestration, serving and performance optimization.

What certifications will I receive? Certification

Successful learners receive a Hero Vired Program Completion Certificate, an IBM Verified Certificate through edX (subject to successful completion), and an opportunity to earn a Nasscom FutureSkills Prime certification.

Does Hero Vired provide career support? Career

Yes. Career services include ATS resume optimization, LinkedIn branding, GitHub portfolio review, mock interviews, salary negotiation guidance and placement assistance.

Are interview opportunities available? Career

Eligible learners receive up to three assured interview opportunities with Hero Vired hiring partners, subject to applicable terms and conditions.

What career roles can I pursue after this program? Career

Graduates can pursue roles such as Data Engineer, Data Scientist, Analytics Engineer, ETL Developer, Machine Learning Engineer, Cloud Data Engineer, Big Data Engineer, Business Intelligence Analyst and MLOps Engineer.

Is this program suitable for working professionals? Learning

Yes. The flexible online format allows working professionals to continue their careers while upgrading their Data Science and Data Engineering skills.

How much weekly study time is recommended? Learning

Learners are expected to dedicate approximately 10–12 hours per week throughout the program.

Will I build a professional portfolio? Projects

Yes. Learners complete multiple industry-oriented projects and a capstone project suitable for showcasing on GitHub and LinkedIn.

Why should I choose this Hero Vired program? Program

The program combines Data Science fundamentals with modern Data Engineering technologies, IBM content through edX, hands-on projects, expert faculty, career services and industry-focused learning to prepare learners for high-demand data careers.

Become an Industry-Ready Data Scientist & Data Engineer

Master SQL, Python, Machine Learning, Apache Spark, Airflow, AWS, Databricks, Delta Lake, Data Governance and Generative AI for Data Engineering through IBM-powered learning, hands-on projects, career services and industry mentorship.

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