Bachelor of Technology (B.Tech.) CSE in Data Science Course at SR University, Hanmakonda Syllabus & Subjects Semester Wise

The Bachelor of Technology (B.Tech.) CSE in Data Science syllabus at SR University, Hanmakonda is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Technology (B.Tech.) CSE in Data Science faculty at SR University specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Technology (B.Tech.) CSE in Data Science at SR University, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Technology (B.Tech.) CSE in Data Science syllabus at SR University, Hanmakonda maintains a balance between theoretical knowledge and practical knowledge.

Bachelor of Technology (B.Tech.) CSE in Data Science first year students at SR University are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. SR University, Hanmakonda also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Technology (B.Tech.) CSE in Data Science syllabus at SR University, Hanmakonda is also frequently updated to give industry relevant training and knowledge to students. SR University strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at SR University enable Bachelor of Technology (B.Tech.) CSE in Data Science students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Bachelor of Technology (B.Tech.) CSE in Data Science progress, students learn advanced topics and complex concepts. The Bachelor of Technology (B.Tech.) CSE in Data Science curriculum at SR University, Hanmakonda mainly focuses on analytical and critical thinking. As the Bachelor of Technology (B.Tech.) CSE in Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Technology (B.Tech.) CSE in Data Science at SR University also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Bachelor of Technology (B.Tech.) CSE in Data Science curriculum at SR University includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Technology (B.Tech.) CSE in Data Science syllabus at SR University aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at SR University

Workshops and Seminars - Regular sessions with industry experts help Bachelor of Technology (B.Tech.) CSE in Data Science students at SR University to stay updated with current trends.
Group Projects - Collaborative projects according to SR University syllabus develop teamwork and problem-solving skills.
Case Studies - Bachelor of Technology (B.Tech.) CSE in Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
Extracurricular Activities - SR University offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the SR University, Hanmakonda for latest Bachelor of Technology (B.Tech.) CSE in Data Science curriculum.

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