Caltech Post Graduate Program in Data Science

This Post Graduate Program in Data Science combines Caltech's academic excellence with IBM's industry expertise to provide comprehensive training in data science fundamentals and advanced concepts. The program covers Python, R, data analysis, machine learning, visualization, and emerging technologies like generative AI and ChatGPT through interactive learning with global practitioners.

English

Course Start Date:
February 24, 2025
Applications Deadline:
February 14, 2025
Duration:
11 Months

₹ 2,10,000

Add to compare

Overview

The Post Graduate Program in Data Science from Caltech CTME offers comprehensive training in data science fundamentals through advanced concepts. The program combines theoretical knowledge with practical applications through hands-on projects and industry collaborations.

Why Technology & Analytics?

This program stands out through its unique combination of Caltech's academic excellence and IBM's industry expertise. Students benefit from live interactive sessions, hands-on projects, and access to cutting-edge tools and technologies.

What does this course have to offer?

Key Highlights

Certificate from Caltech CTME
14 CEU credits
IBM certifications
25+ hands-on projects
Career assistance services
Lifetime access to content

Who is this programme for?

Working professionals with 2+ years experience
Data analysts seeking advancement
IT professionals transitioning to data science
Professionals interested in data-driven decision making
Business analysts expanding their skill set

Minimum Eligibility

Bachelor's degree with 50% or higher marks
Preferably 2+ years of work experience
Basic understanding of programming and mathematics

Who is the programme for?

The program features a three-step admission process including application submission, panel review, and admission confirmation. Candidates should have a bachelor's degree with 50% marks and preferably 2+ years of work experience.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum combines theoretical foundations with practical applications across multiple domains. Core modules include Python, R, machine learning, data visualization, and generative AI. The program emphasizes hands-on learning through projects.

There are 14 semesters in this course

The program delivers comprehensive training in data science fundamentals through advanced concepts. Starting with programming basics, it progresses through statistical analysis, machine learning, visualization, and culminates with emerging technologies like generative AI.

Induction Class for Caltech Post Graduate Program in Data Science

PGC DS- Programming Refresher

PGC DS- SQL

PGC DS - Python for Data Science (IBM)

PGC DS- Applied Data Science with Python

PGC DS- Machine Learning

PGC DS- Data Visualization using Tableau

PGC DS - Capstone

PGC DS - R Programming for Data Science (IBM)

PGC DS - Academic Masterclass by Caltech

PGC DS - Industry Masterclass

PGC DS - Essentials of Generative AI, Prompt Engineering & ChatGPT

PGC DS- Business Analytics with Excel

PGC DS- Data Storytelling using PowerBI

Programme Length

11 months of structured learning

Weekend classes

Flexible learning options

Comprehensive support

Tuition Fee

The program fee is ₹2,10,000 with flexible payment options including EMI starting at ₹9,403 per month. The fee includes course materials, certifications, and career support services.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

Students experience a blend of live online classes, self-paced learning, and hands-on projects. The program features interactive sessions with Caltech faculty and IBM experts.

University Experience

The program offers extensive exposure to industry-standard tools and technologies, with access to Caltech CTME's academic excellence and IBM's industry expertise.

About the University

Caltech is a world-renowned private research university located in Pasadena, California, about 11 miles northeast of Los Angeles. Founded in 1891, it is known for its strong emphasis on science and engineering. Caltech manages high-profile research facilities such as NASA's Jet Propulsion Laboratory and is organized into six academic divisions. The institute is famous for its highly selective admissions, low student-to-faculty ratio, and significant research output.

10

QS World University Rankings

23

U.S. News & World Report National Universities Ranking

2240

Total enrollment

Affiliation & Recognition

Member of the Association of American Universities (AAU)

National Academies of Sciences, Engineering, and Medicine

Career services

Caltech provides comprehensive career services through its Career Advising and Experiential Learning (CALE) center. CALE offers resources and support to students, postdocs, and recent alumni in pursuing fulfilling careers across various sectors, including academia, industry, medicine, entrepreneurship, public service, and the arts. The center provides dozens of thoughtfully designed programs facilitating engagement with companies, startups, nonprofits, and alumni, setting graduates up for career success. Services include career advising, internship assistance, job listings, networking events, and alumni connections.

99.5%

Employment rate within 6 months of graduation

93%

Graduate students job offer rate within 3 months

13%

Alumni in director or manager roles

Course Start Date:
February 24, 2025
Applications Deadline:
February 14, 2025
Duration:
11 Months

₹ 2,10,000

Add to compare

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Antonio Rangel0

Pioneering Neuroeconomics Research at Caltech

Antonio Rangel, the Bing Professor of Neuroscience, Behavioral Biology and Economics at the California Institute of Technology (Caltech), is at the forefront of neuroeconomics research. His laboratory investigates the computational and neurobiological foundations of decision-making, focusing on simple choices, self-control problems, and altruistic behavior. Professor Rangel's interdisciplinary approach combines neuroscience, economics, and psychology to unravel the complexities of how the brain makes decisions. Using advanced techniques such as computational modeling and neuroimaging, his work examines how the brain assigns and compares values, and how attention influences these processes. As a passionate educator, Rangel has been teaching economics principles since his graduate days at Harvard, where he earned his Ph.D. in Economics in 1998. His groundbreaking research in the Rangel Neuroeconomics Laboratory at Caltech not only bridges biological and social sciences but also has far-reaching implications for fields like economics, psychiatry, and the development of decision-enhancing technologies. Through his innovative work, Professor Rangel continues to shape our understanding of the neural mechanisms underlying human choice and behavior.

Jaksa Cvitanic0

A Leading Figure in Mathematical Finance and Financial Economics

Jaksa Cvitanic is a distinguished scholar and educator in the fields of mathematical finance, financial engineering, and financial economics. With a career spanning over two decades, he has made significant contributions to academia through his teaching, research, and publications. Professor Cvitanic has held teaching positions at prestigious institutions including Columbia University, the University of Southern California, EDHEC Business School, and currently at the California Institute of Technology (Caltech). His expertise is reflected in his extensive publication record, which includes two influential books: "Introduction to the Economics and Mathematics of Financial Markets" and "Contract Theory in Continuous Time Models," as well as more than fifty scientific articles. Cvitanic's research has significantly advanced understanding in areas such as portfolio optimization, risk management, and financial contracts. His work on convex duality in constrained portfolio optimization, published in 1992, has been particularly impactful, garnering over 880 citations. In addition to his research, Cvitanic has served as a co-editor for prominent journals in the field, including "Finance and Stochastics" and "Mathematical Finance," further cementing his status as a leading figure in mathematical finance and financial economics.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What are the prerequisites?

How is the program delivered?

What certification is provided?