Postgraduate Program IN
Data Science with Specialization
IN PARTNERSHIP WITH
Aligned With
3 Assured Interviews
Eligibility
Graduate
Duration
8 Months
Application Deadline: September 11, 2025
See what you’ll learn
5-month Core Foundation of Data Science
3-month Specialization : AI/ML or Data Engineering
180+ live hours in total of Expert-led sessions
Your learning roadmap
Job-ready Curriculum
START YOUR JOURNEY
- Build SQL skills to query and manage relational data: filtering, joins, aggregations, CTEs & window functions
- Understand database architecture and schema design for analytics
- Apply queries for reporting, segmentation & performance tracking
Choose ANY 1 Specialization
IN Partnership WITH
SKILLS COVERED
Deep Neural Network Design
Statistical Modeling
Model Evaluation & Validation
Data Processing & Exploratory Analysis
- Grasp neural networks: perceptrons, activations & backpropagation
- Build simple deep models from scratch and optimize via gradient descent
IN Partnership WITH edx | IBM
SKILLS COVERED
Data Modeling
ETL/ELT Pipeline Design & Orchestration
Metadata Management
Data Warehousing & Big-Data Processing
- Map the data lifecycle—from ingestion to BI
- Design dimensional schemas (star/snowflake) & build dbt incremental models
- Orchestrate and document pipelines with Airflow DAGs
FREQUENTLY ASKED QUESTIONS
Wondering if this Program is right for you?
Curriculum
Projects
Tools
AI & ML
Data Engineering
Absolutely! This program is designed with beginners in mind. We start with the basics, introducing you to data science concepts and gradually building your understanding of AI and machine learning. In the first few weeks, you’ll dive into foundational topics like Python programming and SQL, which are essential for working with data. Once you're comfortable with these tools, we move on to more complex AI concepts, such as deep learning and neural networks, in a structured and digestible manner. By the end of the program, you'll be ready to tackle real-world AI problems confidently.
Specialization Comparison
Quick Look: AI/ML vs Data Engineering
Program Name
Duration
Benefits
Eligibilty
Projects
Level
Career Support
Learning Outcomes
Data Science with Specialization in AI
Foundation : 5 Months & Specialization: 3 Months
3 Assured Interviews
• Bachelor's degree in any discipline • STEM background preferred
10
Beginner & Intermediate
Yes
• Turn raw data into smart predictions using AI models • Build & train neural networks for image and text • Deploy and monitor your AI solutions in real-world apps• Evaluate and tune model accuracy with real-world validation tests
Data Science with Specialization in Data Engineering
Foundation : 5 Months & Specialization: 3 Months
3 Assured Interviews
• Bachelor's degree in any discipline • STEM background preferred
10
Beginner & Intermediate
Yes
• Design & run pipelines that gather, clean & organize data • Process large batches and live data streams at scale • Manage and scale cloud-based storage solutions for growing datasets • Keep data accurate, secure and easy to access
