Delve into the program's curriculum, covering data analysis, machine learning, data visualization, and data-driven decision-making, equipping students with expertise in this high-demand field.
Syllabus and subjects in B.Tech CSE in Data Science
A Bachelor of Technology (B.Tech) program in Computer Science and Engineering (CSE) with a specialization in Data Science typically offers a comprehensive curriculum that combines core computer science fundamentals with advanced coursework in data analysis and machine learning. The syllabus typically includes foundational subjects like programming, data structures, and algorithms, providing students with a strong computational foundation. As students progress, they delve into specialized topics such as data mining, statistical analysis, big data technologies, data visualization, and database management. Practical experience is gained through hands-on projects and internships that involve working with real-world data sets. Graduates of this program are well-equipped to pursue careers as data scientists, data analysts, or data engineers, where they can apply their knowledge and skills to extract valuable insights and make data-driven decisions in various industries, including finance, healthcare, e-commerce, and more, addressing the increasing demand for data-driven expertise in today's digital age.
| S.No | 1st Year Syllabus of B.Tech. CSE in Data Science
|
| 1 | Introduction to Artificial Intelligence and Machine Learning
|
| 2 | Programming for Problem Solving
|
| 3 | Maths
|
| 4 | Engineering Physics
|
| 5 | Soft Skills
|
| 6 | Computer-Aided Design and Drafting
|
| 7 | Principles of Electrical and Electronics Engineering
|
| 8 | Application-based Programming in Python
|
| 9 | Advanced Physics
|
| 10 | Engineering Chemistry
|
| 11 | Mechanical Workshop
|
| 12 | Multimedia Application Lab
|
| S.No | 2nd Year Syllabus of B.Tech. CSE in Data Science
|
| 1 | Introduction to biology for Engineers
|
| 2 | Discrete Structures
|
| 3 | Computer Organization and Architecture
|
| 4 | Applied Statistical Analysis
|
| 5 | Industrial Internship
|
| 6 | OOPS using JAVA
|
| 7 | Data Structures using C
|
| 8 | Project-Based Learning- 1
|
| 9 | Industrial Internship I
|
| 10 | CTS-2 Communicate to conquer
|
| 11 | Data Acquisition
|
| 12 | Advance Java Lab
|
| 13 | Environmental Science
|
| 14 | Computer Networks
|
| 15 | Principles of Operating System
|
| 16 | Database Management System
|
| 17 | Management Course
|
| S.No | 3rd Year Syllabus of B.Tech. CSE in Data Science
|
| 1 | CTS-3 Impress 2 Impact
|
| 2 | Data Warehouse
|
| 3 | Theory of Computation
|
| 4 | Design and Analysis of Algorithm
|
| 5 | Project-Based Learning- III, IV
|
| 6 | Industrial Internship II
|
| 7 | Software Engineering and Testing Methodologies
|
| 8 | Program Elective-I, II, III
|
| Open Elective- I, II
|
| 9 | Data Mining
|
| 10 | Compiler Design
|
| 11 | Ace the Interview
|
| 12 | Artificial Intelligence
|
| 13 | Statistical Analysis Lab
|
| S.No | 4th Year Syllabus of B.Tech. CSE in Data Science
|
| 1 | Web Technologies
|
| 2 | Industrial Internship
|
| 3 | Business Intelligence
|
| 4 | Program Elective- IV, V, VI
|
| 5 | Major Project- I, II
|
| 6 | Comprehensive Examination
|
| 7 | Professional Ethics and Values
|
| 8 | Open Elective- III, IV
|
| 9 | Campus to Corporate
|
| 10 | Big Data Analytics
|
| 11 | Universal Human Value and Ethics
|
4 Years
Under Graduate
Engineering
back