TL;DR
The B.Tech Data Science curriculum for 2026 offers a foundational understanding of AI, ML, and data analytics, placing a minor focus on the fundamentals of computer science and engineering for the B.Tech CSE (Data Science) course. The course is four years long and distributed in eight semesters. It is designed to provide practical experience through capstone projects, internships, and research work, making way for a thriving career in software development, artificial intelligence, and data analytics, among other technology-oriented fields.
A report published by Analytics Insight states that the Indian education market for data science is expected to reach approximately US$2.04 billion by 2028. This indicates the increasing demand for data science graduates. Hence, to stay relevant in the current job market, pursuing a program that equips you with the required skills and knowledge is important.
Whether you are considering a B.Tech (Data Science) program or already enrolled in it, this guide will help you know what to expect. Read on to explore the complete details of the B.Tech Data Science syllabus.
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B.Tech CSE (Data Science) vs B.Tech Data Science: A Quick Comparison
Both B.Tech CSE (Data Science) and B.Tech (Bachelor of Technology) Data Science aim to build future-ready professionals, though their focus areas vary slightly. The table below lists a quick comparison between the two to help you understand the differences:
B.Tech CSE Data Science Syllabus 2026: An Overview
The B.Tech CSE Data Science Syllabus for 2026 combines core computer science subjects with modern data-centric technologies. It teaches you skills to handle large-scale data systems and build intelligent, data-driven solutions.
The program details and its key focus areas are tabulated below:
Year-Wise B.Tech Data Science Course Structure
The B.Tech Data Science syllabus and course structure may vary slightly across universities. However, the year-wise course structure of this program, mentioned below, will provide you with a better understanding of what the four-year academic journey entails.
1st Year
The focus areas of the B.Tech Data Science 1st year subjects covered in the first two semesters are as follows:
2nd Year
The B.Tech Data Science subjects list for the third and fourth semesters of the second year includes the following key areas:
3rd Year
The focus areas of the subjects included in the fifth and sixth semesters of the B.Tech Data Science third year include:
4th Year
The fourth year of B.Tech Data Science includes the following key focus areas:
Core Data Science Subjects in B.Tech and Their Purpose
The core B. Tech Data Science subjects help develop your foundation in mathematics, data analysis, and programming. These subjects appear commonly across various institutions, ensuring you gain the necessary skills for an AI and data science career.
These include:
Conclusion
A B.Tech in Data Science will help you develop expertise in mathematics, programming, and data-driven technologies. A well-planned B.Tech Data Science syllabus offers both theoretical knowledge and practical experience in core areas like AI, machine learning, and Big Data. By mastering these skills, you can easily secure various roles in the technology, research, and analytics-focused industries.
For parallel upskilling alongside a B.Tech in Data Science, you can explore the relevant short-term certification courses offered by Amity University Online.
