The Foundry LogoThe Foundry's
Deep Tech in Data Science

Deep Tech in Data Science

Insight & Analytics

Turn raw data into predictive decision architectures.

A 3-year immersive degree merging Advanced Analytics with Entrepreneurship.
Graduate with Insight, Precision & Real-World Impact.

Available Degrees

B.Sc in Data Science

Partner Institutions

Keshava Degree College

Industry Credentials

FCEPExecutive
FCIPPractitioner
FFPProfessional

Program Length

3-Year Full-Time

Delivery Mode

On-Campus, Immersive

Campus Location

Warangal

Cohort Status

Admissions Closed

Program Overview

A Degree Built for
the Data Era.

The Foundry's 3-year Data Science program combines deep statistical knowledge with scalable data pipelines and execution. Students don't just study metrics — they construct real-time data warehouses, design visualization architectures, and deploy robust modeling workflows.

Statistical InferenceMachine LearningETL EngineeringData VisualizationsBig Data ClustersPredictive Analytics
3
Years

Full-time immersive program

6
Semesters

Progressive skill building

100%
Applied

Project-based curriculum

100+
Concepts

End-to-end industrial execution

The Program Mix

Academic Sessions (40%)

Where ideas take shape through Structured learning, Discussions and Case Studies.

Start-up Lab (25%)

Where ideas turn into ventures through experimentation and Mentorship.

Industry Exposure (15%)

Masterclasses, Guest Sessions and Workshops that bridge Classroom Learning with real-world insights.

Beyond Academics (10%)

Fueling energy, excellence, and enthusiasm through play.

Student Circles (10%)

Collaborative Spaces/Clubs that spark Creativity, Teamwork and Leadership.

Built for the next generation

Who Is This For

01

Future Analytics Leaders

Class 12 / Intermediate graduates from any stream — MPC, BiPC, CEC, HEC, or Arts.

02

Future Tech Founders

Students who want to build data-driven startups and launch real products before graduation.

03

Zero Analytics Background

No prior data science background required. We teach statistical coding from logical zero.

Academic Criteria

Academic Eligibility

01
Standard Admission Pathway

  • Grade 12 / Intermediate from any recognized board.
  • MPC, BiPC, CEC, HEC, or Arts—all streams are eligible.
  • Minimum 60% aggregate in core academic subjects.

Program highlights

Three paths to becoming a Data professional

This program is structured as a progressive journey — from understanding data analysis fundamentals to scaling predictive models and operating at enterprise analytics standards.

01
Stage 01
Data Literacy
Learn statistical thinking, database structure, and visualization fundamentals. Understand patterns in raw information before deploying code.
02
Stage 02
Data Analyst
Build real-time reporting metrics, clean raw databases, and deploy visualization dashboards that support corporate decision paths.
03
Stage 03
Data Scientist
Engineer predictive models, establish causality metrics, and optimize data lakes at global scale.

What you'll learn

A curriculum built around the skills that modern analytics teams actually need — from causality to storage pipelines.

01Exploratory Data Analysis (EDA)
02Feature selection and data wrangling
03Regression and predictive modeling
04ETL warehousing and cloud database scaling
05Causal inference and experimental design
06Cost, latency, and dashboard refresh trade-offs
07Data-driven strategic communication

What you'll achieve

Graduates leave this program with the vocabulary, statistics, and pipeline skills to own business metrics.

Construct predictive frameworks instead of static reports
Deploy clean real-time streaming warehouses
Formulate statistical business optimization models
Present clear causal insights to product designers and executives

Academic Map

What You Will Study

From mathematical foundations to building enterprise-scale data architectures. Every year builds on the last.

Interactive Flowchart

Program Roadmap

Core Stack

Industrial Skills

pandas
pandas
NumPy
NumPy
Scikit-learn
Scikit-learn
Tableau
Tableau
Power BI
Power BI
SQL
SQL
Apache Spark
Apache Spark
Snowflake
Snowflake
R
R
Plotly
Plotly
pandas
pandas
NumPy
NumPy
Scikit-learn
Scikit-learn
Tableau
Tableau
Power BI
Power BI
SQL
SQL
Apache Spark
Apache Spark
Snowflake
Snowflake
R
R
Plotly
Plotly

What You'll Become

From mathematical foundations to causal business optimization. This is your career in 2035.

Data Scientist

Extracts actionable insights from complex datasets using advanced statistical models and custom machine learning pipelines.

Python & RPredictive ModelingRegression AnalysisFeature EngineeringA/B Testing
Avg. Salary
₹6L - 11L
Growth
+32% YoY

Core Responsibilities

Building predictive and statistical models
Analyzing large structured and unstructured datasets
Performing exploratory data analysis
Communicating data-driven solutions to stakeholders
Evaluating model accuracy and reliability
The Advantage

Why is The Foundry the right place?

Big Data Infra

Access to distributed computing clusters for processing massive datasets.

Analytics Labs

Direct mentorship from data scientists uncovering insights from real-world data.

Global Standards

Curriculum benchmarked against top Data Science programs at Berkeley & Stanford.

Predictive Labs

Specialized labs for building and deploying real-time predictive models.