This comprehensive Data Science program in collaboration with IBM provides expert training in Python programming, SQL, machine learning, generative AI, and data visualization. Through live online classes and hands-on projects, you'll master the essential skills needed for a successful career in data science.
English
Course Start Date:
11th Nov, 2025
Application Deadline:
11th Nov, 2025
Duration:
11 Months
₹ 57,000
Overview
This comprehensive Data Science program offers a complete learning path from foundational concepts to advanced techniques. Learn from industry experts and gain practical experience through hands-on projects and real-world applications.
Why Technology & Analytics?
This program stands out through its collaboration with IBM, offering industry-recognized certifications and expert-led masterclasses. The curriculum includes the latest trends in AI and data science, with practical exposure through multiple projects.
What does this course have to offer?
Key Highlights
Industry-recognized certification
IBM certifications
25+ hands-on projects
Hackathons and AMA sessions
Career assistance services
Lifetime access to content
Who is this programme for?
IT professionals
Aspiring data scientists
Software engineers/developers
Data analysts
Analytics managers
Minimum Eligibility
Basic knowledge of mathematics and statistics
Basic understanding of any programming language
Who is the programme for?
The program has minimal prerequisites, requiring only basic knowledge of mathematics, statistics, and any programming language. It's designed to accommodate both beginners and experienced professionals.
Selection process
How to apply?
Curriculum
The curriculum provides comprehensive coverage of data science fundamentals through advanced concepts. Core modules include Python programming, SQL, machine learning, data visualization, and emerging technologies like generative AI.
There are 12 semesters in this course
The program delivers in-depth training across key data science domains. Starting with programming basics, it progresses through statistical analysis, machine learning, visualization, and advanced topics like generative AI, culminating in capstone projects.
Programming Essentials
SQL Certification Course
Python for Data Science by IBM
Applied Data Science with Python
Machine Learning using Python
Tableau Desktop Specialist Certification Training
Data Scientist Capstone
R Programming for Data Science
Business Analytics with Excel
PL-300 Microsoft Power BI Certification Training
Essentials of Generative AI, Prompt Engineering & ChatGPT
PC DS - Industry Masterclass by IBM
Programme Length
This 11-month structured learning program provides a flexible schedule, recorded sessions, and comprehensive support.
Tuition Fee
The program fee is ₹57,000 with flexible payment options including EMI starting at ₹4,750 per month. The fee includes course materials, IBM certifications, and career support services.
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 industry experts and IBM masterclasses.
University Experience
The program offers extensive exposure to industry-standard tools and technologies, with access to IBM's expertise through masterclasses, hackathons, and AMA sessions.
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
International Business Machines Corporation (IBM), commonly known as IBM, is a leading American multinational technology company headquartered in Armonk, New York. Established in 1911 as the Computing-Tabulating-Recording Company (CTR), it was renamed to IBM in 1924. Over the years, IBM has evolved from a manufacturer of punch-card tabulating systems to a global leader in computing and technology solutions. The company operates in over 175 countries and is recognized for its extensive research and development efforts, holding more than 150,000 patents. IBM's product offerings span various categories, including cloud computing, artificial intelligence (AI), data analytics, cybersecurity, and IT infrastructure. Notably, the IBM Watson platform utilizes natural language processing and machine learning to derive insights from large datasets. In recent years, IBM has shifted its focus towards hybrid cloud solutions and AI services, helping businesses accelerate their digital transformations. The company is committed to sustainability and innovation, setting ambitious goals such as achieving net-zero greenhouse gas emissions by 2030. Through initiatives like the IBM Skills Academy, the company aims to equip individuals with essential skills for the future workforce, emphasizing continuous learning and professional development.
350000+
Total Employees
170+
Global Offices
12
Research and Development Facilities
Affiliation & Recognition
American National Standards Institute (ANSI)
Internet Engineering Task Force (IETF)
Association for Computing Machinery (ACM)
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
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
Data Scientist Aije Egwaikhide: Empowering Women in STEM and Innovating AI Solutions at IBM
Aije Egwaikhide is a fantastic example of how dedication and passion can lead to a successful career in tech! With her background in Economics and Statistics, paired with advanced qualifications in Business and Management Analytics, she’s truly paving the way in the field of data science. Her work at IBM, particularly in creating innovative machine learning solutions for the Oil and Gas sector, is an inspiring achievement.
Career services
IBM provides extensive career services aimed at enhancing workforce readiness through skills development. The IBM Skills Academy offers a variety of courses designed to equip learners with essential skills in cloud computing, data science, AI, cybersecurity, and more. These programs are tailored to meet the demands of the evolving job market and are accessible to individuals at different stages of their careers. In addition to formal education programs, IBM facilitates networking opportunities through events such as hackathons and workshops where participants can engage with industry professionals. This exposure is invaluable for building connections that can lead to internships or job placements. Furthermore, IBM partners with educational institutions to integrate its technologies into their curricula, ensuring that students gain hands-on experience with real-world applications. This collaboration helps bridge the gap between academic learning and practical skills required by employers. IBM also emphasizes continuous learning by providing access to a wealth of online resources including webinars, tutorials, and case studies that keep learners updated on industry trends and best practices. This commitment to lifelong learning ensures that graduates remain competitive in their fields even after completing their formal education.
80% (for participants engaging with career services)
Placement Rate
$85,000 (estimated for certified professionals)
Average Salary After Graduation
400+
Number of Partnerships with Recruiters
Course Start Date:
11th Nov, 2025
Application Deadline:
11th Nov, 2025
Duration:
11 Months
₹ 57,000
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.



