BTech Data Science is a 4-year UG program that focuses on combining computer science, mathematics, and statistics to find meaningful insights from large and complex data sets. It is ideal for students who want to work with data to solve real-world problems using technology and analytical methods.
The BTech Data Science syllabus is spread across 8-semesters. In the initial semesters, students learn core subjects like Mathematics, Statistics, Programming, and Data Structures. As the course progresses, it dives into advanced topics such as Machine Learning, Big Data Analytics, Artificial Intelligence, Data Mining, and Data Visualization.
In the final semesters, students gain hands-on experience through lab sessions, internships, and major projects. Some colleges also offer electives or specializations in areas like Natural Language Processing, Cloud Computing, Business Analytics, or Deep Learning to help students tailor their learning as per career goals.
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BTech Data Science Semester-Wise Syllabus 2025
The curriculum of BTech Data Science dives deep into subjects like programming, statistics, machine learning, and big data technologies. The Course covers subjects such as Python, Data Structures, Algorithms, Database Management, etc. For your reference, given below is the BTech Data Science Semester Wise Syllabus followed at IIT Mandi.
Electives to choose from:
BTech Data Science Syllabus for Private Institute
The syllabus of BTech Data Science may vary depending on the institute type. Given below is the BTech Data Science Syllabus followed by the UPES, Dehradun.
Electives to Choose From:
FAQs
Is the BTech Data Science syllabus more coding-heavy or math-focused?
The syllabus balances both—early semesters focus on core mathematics like linear algebra and statistics, while coding intensifies with subjects like Python, Data Structures, and Machine Learning. As you progress, expect advanced topics like AI, Big Data, and algorithm optimization that blend both coding and math.
When do I actually start learning “real” data science topics in this course?
You’ll begin with foundational subjects in the first two semesters, but core data science kicks in by the 3rd semester with courses like Data Handling, Machine Learning Basics, and Visualization. By the 5th and 6th semesters, you're working with deep learning, optimization, and statistical models.
Will I learn tools and languages used in real-world data jobs?
Yes, the syllabus is aligned with industry needs. You'll learn Python, R, SQL, and data handling tools like Pandas and NumPy. Advanced semesters may also include TensorFlow, Spark, or cloud computing platforms depending on your electives or projects.
Are there any practical or project-based components in the syllabus?
Absolutely. Starting mid-program, lab components and practicum sessions are part of the curriculum. In final semesters, you’ll work on major projects (MTPs), internships, and electives that require solving real datasets—ensuring hands-on experience before graduation.
Can I choose subjects based on what I want to specialize in?
Yes, the curriculum includes a range of electives like Deep Learning, Optimization, Neuroscience, or Computational Finance. This lets you steer your learning toward domains like AI, financial modeling, or even cognitive computing based on your career interests.
