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.
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Course Start Date:
22nd Nov, 2025
Application Deadline:
17th Nov, 2025
Duration:
11 Months
₹ 1,69,999
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.
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
The 11-month structured learning program includes weekend classes, flexible learning options, and comprehensive support.
Tuition Fee
The program fee is ₹1,69,999 with flexible payment options including EMIs starting at ₹7,612 per month. It covers full course access, certifications, career support, and has partnerships offering low-interest, 0% EMI plans without hidden fees.
Fee Structure
Payment options
Financing options
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.
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.
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About the University
Founded in 1869, Purdue University is a prestigious public land-grant research university located in West Lafayette, Indiana. As the flagship campus of the Purdue University system, it has evolved into one of America's most respected public research universities. Known for its strong STEM programs, particularly in engineering and technology, Purdue serves over 105,000 students across all modalities, with nearly 50,000 attending the main campus. The university is classified among "R1: Doctoral Universities – Very high research activity" and is a member of the Association of American Universities.
89
QS World Ranking
105,000+
Total enrollment
50,000
On-campus enrollment
Affiliation & Recognition
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Association of American Universities
Land-grant University Status
CHIPS and Science Act National Hubs Partner
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
7 Courses
Pioneering Spintronics and Quantum Physics Researcher
Pramey Upadhyaya is a distinguished Associate Professor of Electrical and Computer Engineering at Purdue University, whose academic journey includes a B.Tech from IIT Kharagpur (2009), followed by MS (2011) and Ph.D. (2015) degrees from UCLA, where he worked as a resident theorist in Prof. Kang Wang's Device Research Laboratory. Following his doctoral studies, he completed a postdoctoral fellowship at UCLA's Physics and Astronomy Department under Prof. Yaroslav Tserkovnyak. His groundbreaking research in quantum physics and spintronics has led to pioneering demonstrations of current-induced room-temperature skyrmion manipulations, spin torque switching using topological surface states, and NV-center probing of spin-caloritronics. His work has resulted in over 30 publications in prestigious journals including Science, Physical Review Letters, and Nature Nanotechnology, achieving an H-index of 24. His exceptional contributions to the field have been recognized with several prestigious awards, including an NSF Career Award (2020), Qualcomm Innovation Fellowship (2013), and Intel Summer Fellowship (2011), while his current research at Purdue focuses on advancing quantum phenomena and material science for next-generation computing applications.
8 Courses
Pioneering Nanoscale Electronics Innovator
Supriyo Datta is the Thomas Duncan Distinguished Professor of Electrical and Computer Engineering at Purdue University, whose groundbreaking contributions have transformed the field of nanoelectronics. Initially starting his career in ultrasonics, he shifted his focus to nanoscale electronic devices in 1985, where he developed revolutionary approaches to quantum transport. His pioneering work combines the non-equilibrium Green function (NEGF) formalism with the Landauer formalism, which has become a cornerstone in nanoelectronics research. His influential books, including "Electronic Transport in Mesoscopic Systems" (1995), "Quantum Transport: Atom to Transistor" (2005), and "Lessons from Nanoelectronics" (2012), have shaped the field's theoretical foundation. His innovative theoretical proposals have sparked new research areas in molecular thermoelectricity, negative capacitance devices, and spintronics, leading to his election to the National Academy of Engineering (NAE)
Career services
Purdue provides comprehensive career services through multiple channels, including the Center for Career Opportunities (CCO) and Pre-Professional Advising (PPA). The university offers extensive career development support through one-on-one counseling, career exploration assistance, and job search preparation. Services include resume reviews, mock interviews, career fairs, and networking events. The CCO maintains strong relationships with employers and organizes regular recruitment events. Students have access to various resources including myCCO platform, VMock for resume feedback, and Big Interview for interview practice. The career services team also provides specialized support for graduate students and maintains strong connections with industry partners
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Best Place for Career Opportunities
#18
Best Career Placement Among Public Schools
#36
Most Employable University Graduates
Course Start Date:
22nd Nov, 2025
Application Deadline:
17th Nov, 2025
Duration:
11 Months
₹ 1,69,999
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.