4 Years
Under Graduate
Engineering
The Bachelor of Technology (B.Tech.) CSE in Data Science syllabus at St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Technology (B.Tech.) CSE in Data Science faculty at St Vincent Pallotti College of Engineering and Technology (SVPCET) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Technology (B.Tech.) CSE in Data Science at St Vincent Pallotti College of Engineering and Technology (SVPCET), 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 St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur maintains a balance between theoretical knowledge and practical knowledge.
Bachelor of Technology (B.Tech.) CSE in Data Science first year students at St Vincent Pallotti College of Engineering and Technology (SVPCET) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur 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 St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur is also frequently updated to give industry relevant training and knowledge to students. St Vincent Pallotti College of Engineering and Technology (SVPCET) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at St Vincent Pallotti College of Engineering and Technology (SVPCET) 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 St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur 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 St Vincent Pallotti College of Engineering and Technology (SVPCET) 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 St Vincent Pallotti College of Engineering and Technology (SVPCET) 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 St Vincent Pallotti College of Engineering and Technology (SVPCET) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at St Vincent Pallotti College of Engineering and Technology (SVPCET)
Note: Given below syllabus is based on the available web sources. Please verify with the St Vincent Pallotti College of Engineering and Technology (SVPCET), Nagpur for latest Bachelor of Technology (B.Tech.) CSE in Data Science curriculum.
| 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 |
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