GTU Latest 2026 Computer Science & Engineering (Data Science) Sem 5 Syllabus for all subjects pdfs download.
The GTU BE Computer Science & Engineering (Data Science) Syllabus for the year 2026 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2026 updated syllabus is essential for students as they prepare for their semester exams, providing them with a clear understanding of the topics to be covered and the distribution of marks for theory and practical exams.
GTU Computer Science & Engineering (Data Science) Syllabus Sem 5
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
50
0
150
-
BE05000441
Application of Remote Sensing and GIS in Engineering
2
Multidisciplinary Open Professional Electives Courses
30
30
0
0
70
30
20
0
120
-
BE05000451
Occupational Health & Safety Management
2
Multidisciplinary Open Professional Electives Courses
30
30
0
0
70
30
20
0
120
-
BE05000471
Oil Hydraulics and Pneumatics
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000481
Project Management
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000491
Introduction to Biomedical Technology
2
Multidisciplinary Open Professional Electives Courses
30
0
0
30
70
30
30
0
130
-
BE05000501
Instrumentation and Measurement Techniques
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000511
Computer Organization & Architecture
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000521
Sustainability and Circularity in Textile Industry
2
Multidisciplinary Open Professional Electives Courses
30
0
30
0
70
30
20
50
170
-
BE05000531
Electronics and Automation in Textile Manufacturing
2
Multidisciplinary Open Professional Electives Courses
30
0
30
0
70
30
20
50
170
-
BE05000541
Fundamental of Power Electronics
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
50
0
150
Effective From: 01-01-2026 +
Subject Code
Subject Name
Credits
Category
Teaching Scheme
Examination Marks
Total Marks
L
T
P
Theory Marks
Practical Marks
ESE (E)
PA (M)
PA (I)
ESE Viva (V)
-
noc26-cs48
Selected Topics in Algorithms
3
PEC-02 (MOOC)
3
0
0
100
0
0
0
100
-
noc26-ee31
Computer Vision and Image Processing - Fundamentals and Applications
3
PEC-01 (MOOC)
3
0
0
100
0
0
0
100
Effective From: July - 24 +
Subject Code
Subject Name
Credits
Papers
Category
Teaching Scheme
Examination Marks
Total Marks
L
T
P
Theory Marks
Practical Marks
ESE (E)
PA (M)
PA (I)
ESE Viva (V)
3150001
Design Engineering - II A
1
-
Project Work
0
0
2
0
0
20
80
100
3150004
Contributor Personality Development Program
2
Personality Development Elective
2
0
0
70
30
20
30
150
3150005
Integrated Personality Development Course
2
Personality Development Elective
2
0
0
70
30
20
30
150
3150703
Analysis and Design of Algorithms
5
Professional Core
4
0
2
70
30
20
30
150
3150710
Computer Networks
5
Professional Core
4
0
2
70
30
20
30
150
3150714
Cyber Security
3
Open Elective - I
2
0
2
70
30
20
30
150
3154301
Statistics and Exploratory Data Analysis
5
Professional Core
4
0
2
70
30
20
30
150
3154601
Fundamentals of Neural Networks
4
-
Professional Elective - I
3
0
2
70
30
20
30
150
3154602
Machine Learning
4
Professional Elective - I
3
0
2
70
30
20
30
150
3154603
Web Technology
3
Open Elective - I
2
0
2
70
30
20
30
150
GTU BE Computer Science & Engineering (Data Science) Syllabus
From the below table, students can download GTU Computer Science & Engineering (Data Science) Branch's other semester syllabus PDFs too. To download other semesters syllabus PDFs, click on any of the semesters from the below table.
No.
GTU BE Computer Science & Engineering (Data Science) Syllabus PDFs
In conclusion, the GTU BE Computer Science & Engineering (Data Science) Syllabus for 2026 plays a vital role in guiding students at Gujarat Technical University towards academic success. By providing a comprehensive outline of the subjects, mark distribution, and learning objectives for each subject, the syllabus equips students with the necessary knowledge and understanding to excel in their exams.
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