• Learning Format Self-Paced Learning

Why Join this Program

Caltech Academic Excellence

Earn a program certificate and up to 14 CEU credits from Caltech CTME

IBM’s Industry Expertise

Obtain industry-recognized IBM certificates for IBM courses and get access to masterclasses by IBM

Caltech Networking

Earn a membership to Caltech CTME circle and an online convocation by the Caltech program director.

Hands-on Experience

25+ industry-relevant projects from the likes of Walmart, Amazon, Uber, Mercedes Benz, and many more


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Program Overview

This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

Key Features

  • Caltech PG program in Data Science completion certificate
  • Earn up to 14 CEUs from Caltech CTME
  • Masterclasses delivered by distinguished Caltech faculty and IBM experts
  • Caltech CTME Circle membership
  • Online convocation by Caltech CTME Program Director
  • IBM certificates for IBM courses
  • Access to hackathons and Ask Me Anything sessions from IBM
  • 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
  • Seamless access to integrated labs
  • Capstone projects in 3 domains
  • Simplilearn’s Career Assistance to help you get noticed by top hiring companies
  • 8X higher interaction in live online classes by industry experts

Post Graduate Program Advantage

This Full Stack Data Science program leverages Caltech’s academic excellence and IBM’s industry prowess. Caltech’s CAST is a facility where machines and researchers work together and learn from one another.

  • Program Certificate

    Partnering with Caltech CTME

    • Masterclasses delivered by distinguished faculty
    • Earn up to 14 CEUs to showcase your achievements
    • Program Performance Report for the entire learning path
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-certified IBM certificates for IBM courses
    • Industry masterclasses delivered by IBM
    • Hackathons from IBM

Program Details

This Full Stack Data Science program acquaints learners with the essentials of statistics and Python programming, followed by a deep dive into Machine Learning, Deep Learning, and Data Visualization tools like Tableau and Power BI.

Learning Path

  • Welcome to this PG in Data Science, developed and presented with Caltech CTME and IBM, which will help you become an expert in the data science domain.

  • This PG in Data Science starts with Statistics Essentials for Data Science that will enable you to define statistics—a foundational part of data science—and essential terms related to it. It explains measures of central tendency and dispersion, skewness, correlation, regression, and distribution. You will be able to make data-driven predictions through statistical inference.

  • Kickstart your learning by getting an understanding of the Python language and its libraries, and writing scripts using the Jupyter-based lab environment with this Python for Data Science course.

  • Applied Data Science with Python provides a complete overview of Python's Data Analytics tools and techniques. In this PG in Data Science, you’ll learn Python, which is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlocking your career as a Data Scientist.

  • This PG in Data Science will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques and perform hands-on modeling to develop algorithms that will prepare you for your role with advanced Machine Learning knowledge.

  • This Post Graduation in Data science covers Tableau Desktop 10 training which will help you gain a variety of skills in the powerful platform including building visualizations, organizing data, and designing dashboards.

  • At the end of the PG in Data Science, culminate your new Data Science skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone.

  • Master practical, data-driven decision-making skills with the help of data analysis and statistics. In this PG in Data Science, learn how to use the most common MS office tools available, Excel, to perform sophisticated data analytics to make better business decisions.

  • Master SQL and improve your skills with SQL Course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market

  • Discover R programming with this PG in Data Science. Learn how to write R code, utilize R data structures, and create your own functions.

  • This Power BI course will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. You will explore how to experiment, fix, prepare, and present data quickly and easily.

  • This PG in Data Science module covers Deep Learning and is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms

  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science by Caltech

  • Attend this online interactive industry master class to gain insights about Data Science advancements by IBM

Skills Covered

  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Fine Tuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Deep Learning
  • Data Visualization

Tools Covered


Industry Projects

  • Project 1

    Mobility as a Service

    A transportation company wants to improve the accuracy of its fare prediction model. Help the firm choose the best data and AI technologies to build its next-generation model.

  • Project 2

    Automobile Manufacturing

    An automobile company wants to reduce the time it spends on the test bench. Build and optimize the ML algorithm to achieve this.

  • Project 3


    An ecommerce company offers product recommendations based on customer activity and the buying habits of other shoppers. Help improve the recommendation engine.

  • Project 4


    Predict accurate sales for a retail store chain considering the impact of promotional markdown events. Check the impact of macroeconomic factors like CPI and the unemployment rate.

  • Project 5


    A telecommunications company wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, and is seeking recommendations.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Program Advisors

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 


Join the Data Science industry

Data Science and Artificial Intelligence are amongst the hottest fields of the 21st century that will impact all segments of daily life by 2025, from transport and logistics to healthcare and customer service.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research Rpt
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job Icon$86K - $157K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Science program caters to working professionals across industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 41%Consulting - 20%Pharma & Healthcare - 8%Manufacturing - 8%BFSI - 8%Others - 15%
    Tata Consultancy Services
    GE Aviation
    Ernst & Young

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.


Submit Application

Tell us a bit about yourself and why you want to do this program


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Post Graduation in Data Science, candidates should have:

2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics

Apply Now

Program Benefits

  • Complete this Data Science program while you work
  • Rigorous curriculum designed by industry experts
  • Caltech CTME Circle membership
  • Receive up to 14 CEUs from Caltech CTME
  • Active recruiters include: Amazon, Google, Microsoft.

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  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.