
The GTU BE AI & Data Science Old Question Papers 2026 PDF page provides previous year Gujarat Technological University (GTU) Bachelor of Engineering in Artificial Intelligence & Data Science Question Papers for students preparing for semester examinations. These GTU BE AI & Data Science Previous Year Question Papers help students understand the university examination pattern, frequently asked questions, important topics, marks distribution, and the overall structure of theory examinations. Students can use old question papers along with the latest syllabus to make their preparation more effective.
The GTU BE AI & Data Science Question Papers 2026 collection covers papers from different semesters and subjects of the Artificial Intelligence & Data Science engineering programme. Students can use these Old Question Papers, Previous Year Papers, Exam Papers, Sample Papers, and Guess Papers for revision and practice before GTU examinations. Solving papers from previous Summer and Winter examinations can also help students identify repeated concepts and become familiar with the way questions are presented in GTU university exams.
| Feature | Details |
|---|---|
| University Name | Gujarat Technological University (GTU) |
| Popular Name | GTU |
| Course | Bachelor of Engineering (BE) |
| Branch | Artificial Intelligence & Data Science |
| Academic Year | 2026 |
| Question Paper Type | Old & Previous Year Question Papers |
| Papers Covered | Semester-wise & Subject-wise |
| Examination | GTU Semester Examination |
| Popular Keywords | Previous Year Papers, Question Papers, Exam Papers, Sample Papers, Guess Papers |
| Format | |
| Download Mode | Free PDF Download |
Students can download the GTU BE AI & Data Science Previous Year Question Papers PDF from this page according to their semester and subject. These question papers are useful for understanding the important units, question formats, numerical or programming-based questions, theoretical concepts, and examination requirements of the Artificial Intelligence & Data Science branch. Before solving old papers, students should also check the latest GTU syllabus applicable to their batch so that their preparation remains aligned with the current curriculum.
GTU BE AI & Data Science Old Question Papers 2026 PDF Download
Table of Contents
Below, you can download the available GTU BE AI & Data Science Old Question Papers 2026 PDF semester-wise. Select your semester and subject to access the relevant GTU Previous Year Question Papers. Students can use these papers for revision, practice, identifying important questions, and preparing for upcoming university examinations.
GTU BE Artificial Intelligence & Data Science 4th Semester Old Papers
- [3144301] Data Science for Humanity Summer 2022 Paper – Summer 2022 [3144301].pdf
- [3144301] Data Science for Humanity Summer 2024 Paper – Summer 2024 [3144301].pdf
- [3144301] Data Science for Humanity Summer 2025 Paper – Summer 2025 [3144301].pdf
- [3144301] Data Science for Humanity Summer 2026 Paper – Summer 2026 [3144301].pdf
- [3144301] Data Science for Humanity Winter 2022 Paper – Winter 2022 [3144301].pdf
- [3144301] Data Science for Humanity Winter 2024 Paper – Winter 2024 [3144301].pdf
- [3144301] Data Science for Humanity Winter 2025 Paper – Winter 2025 [3144301].pdf
- [3144302] Computer Networks Summer 2022 Paper – Summer 2022 [3144302].pdf
- [3144302] Computer Networks Summer 2023 Paper – Summer 2023 [3144302].pdf
- [3144302] Computer Networks Summer 2024 Paper – Summer 2024 [3144302].pdf
- [3144302] Computer Networks Summer 2025 Paper – Summer 2025 [3144302].pdf
- [3144302] Computer Networks Winter 2024 Paper – Winter 2024 [3144302].pdf
- [3144302] Computer Networks Winter 2025 Paper – Winter 2025 [3144302].pdf
- [BE04000281] Data Science for Humanity Summer 2026 Paper – Summer 2026 [BE04000281].pdf
- [BE04043011] Artificial Intelligence Summer 2026 Paper – Summer 2026 [BE04043011].pdf
GTU BE Artificial Intelligence & Data Science 5th Semester Old Papers
- [3154301] Statistics and Exploratory Data Analysis Summer 2025 Paper – Summer 2025 [3154301].pdf
- [3154301] Statistics and Exploratory Data Analysis Summer 2026 Paper – Summer 2026 [3154301].pdf
- [3154301] Statistics and Exploratory Data Analysis Winter 2022 Paper – Winter 2022 [3154301].pdf
- [3154301] Statistics and Exploratory Data Analysis Winter 2024 Paper – Winter 2024 [3154301].pdf
- [3154301] Statistics and Exploratory Data Analysis Winter 2025 Paper – Winter 2025 [3154301].pdf
GTU BE Artificial Intelligence & Data Science 6th Semester Old Papers
- [3164301] Machine Learning Summer 2023 Paper – Summer 2023 [3164301].pdf
- [3164301] Machine Learning Summer 2024 Paper – Summer 2024 [3164301].pdf
- [3164301] Machine Learning Summer 2025 Paper – Summer 2025 [3164301].pdf
- [3164301] Machine Learning Summer 2026 Paper – Summer 2026 [3164301].pdf
- [3164302] Data Visualization Summer 2023 Paper – Summer 2023 [3164302].pdf
- [3164302] Data Visualization Summer 2025 Paper – Summer 2025 [3164302].pdf
- [3164302] Data Visualization Summer 2026 Paper – Summer 2026 [3164302].pdf
- [3164302] Data Visualization Winter 2025 Paper – Winter 2025 [3164302].pdf
- [3164303] Nature Inspired Optimization Algorithms Summer 2026 Paper – Summer 2026 [3164303].pdf
- [3164304] Social Media Analytics Summer 2023 Paper – Summer 2023 [3164304].pdf
- [3164304] Social Media Analytics Summer 2025 Paper – Summer 2025 [3164304].pdf
- [3164304] Social Media Analytics Summer 2026 Paper – Summer 2026 [3164304].pdf
- [3164304] Social Media Analytics Winter 2025 Paper – Winter 2025 [3164304].pdf
- [3164305] Data Warehousing and Data Mining Summer 2023 Paper – Summer 2023 [3164305].pdf
- [3164305] Data Warehousing and Data Mining Summer 2025 Paper – Summer 2025 [3164305].pdf
- [3164305] Data Warehousing and Data Mining Summer 2026 Paper – Summer 2026 [3164305].pdf
GTU BE Artificial Intelligence & Data Science 7th Semester Old Papers
- [3174301] Data Visualization and Modelling Summer 2026 Paper – Summer 2026 [3174301].pdf
- [3174301] Data Visualization and Modelling Winter 2023 Paper – Winter 2023 [3174301].pdf
- [3174301] Data Visualization and Modelling Winter 2025 Paper – Winter 2025 [3174301].pdf
- [3174302] Mining of Massive Datasets Winter 2025 Paper – Winter 2025 [3174302].pdf
- [3174303] Cyber Forensics Winter 2023 Paper – Winter 2023 [3174303].pdf
- [3174303] Cyber Forensics Winter 2025 Paper – Winter 2025 [3174303].pdf
FAQs – GTU BE AI & Data Science Previous Year Question Papers
Q1. How can I download GTU BE AI & Data Science Old Question Papers 2026 PDF?
You can download the available GTU BE AI & Data Science Previous Year Question Papers by selecting your semester and subject from the question paper links provided on this page. The papers are available in PDF format for easy downloading and offline practice.
Q2. Which course is covered in these GTU question papers?
This page covers Bachelor of Engineering (BE) Artificial Intelligence & Data Science question papers offered under Gujarat Technological University. Papers are organized according to the applicable semester and subject.
Q3. Are GTU BE AI & Data Science question papers available semester-wise?
Yes. The question papers are arranged semester-wise and subject-wise so that students can easily find papers related to their particular semester and examination preparation.
Q4. Why should I solve GTU AI & Data Science Previous Year Question Papers?
Previous Year Papers help students understand the GTU exam pattern, important topics, frequently asked concepts, question style, and marks distribution. Regular practice can also improve speed and confidence before the semester examination.
Q5. Can I use old GTU question papers to prepare for the 2026 examination?
Yes. GTU Old Question Papers can be useful for 2026 exam preparation, particularly for revision and identifying important concepts. However, students should compare the papers with the latest syllabus because subjects and examination schemes may change.
Q6. Do GTU AI & Data Science papers include different examination sessions?
Yes. Previous papers may include question papers from different GTU examination sessions, including Summer and Winter examinations, depending on the availability of papers for a particular subject and semester.
Q7. Are GTU BE AI & Data Science Question Papers available in PDF format?
Yes. The available GTU BE AI & Data Science Question Papers are provided in PDF format, allowing students to download, save, print, and practice them on mobile phones or computers.
Q8. Can previous year papers help identify important questions?
Yes. By comparing multiple GTU Previous Year Question Papers, students can identify topics and concepts that have appeared repeatedly. However, repeated questions should not be treated as guaranteed questions for the upcoming examination.
Q9. Should I study the syllabus along with GTU Previous Year Papers?
Yes. Students should first check the latest GTU syllabus and then use Previous Year Question Papers for practice. This helps ensure that preparation covers the topics currently prescribed for the BE AI & Data Science course.
Q10. Are GTU AI & Data Science Sample Papers and Guess Papers also useful?
Sample Papers and Guess Papers can be useful for additional practice, but students should give priority to the official syllabus, textbooks, class notes, and previous university examination papers while preparing for GTU semester examinations.
Thanks!

Leave a Reply