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Data Scientist

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.

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  • 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

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)

American National Standards Institute (ANSI)

Internet Engineering Task Force (IETF)

Internet Engineering Task Force (IETF)

Association for Computing Machinery (ACM)

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

Abhishek Gagneja
Abhishek Gagneja

4.2 rating

173 Reviews

1,36,574 Students

5 Courses

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.

Aije Egwaikhide
Aije Egwaikhide

4.3 rating

87 Reviews

6,31,843 Students

6 Courses

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

Degree Course Image
  • 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.