Bachelor of Science in Data Science (B.Sc. Data Science)
About the Program
The Bachelor of Science in Data Science (B.Sc. Data Science) program at Shri Gnanambica Degree College is designed to prepare students for the rapidly growing field of data-driven decision-making. The program combines statistics, mathematics, computer science, data analytics, machine learning, data visualization, and business intelligence to help students extract meaningful insights from complex data. Through theoretical learning and practical applications, students develop analytical, computational, and problem-solving skills required to address real-world challenges across diverse industries.
(for Course Outcomes Refer Syllabus of each Course)
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1st Year - Semester I |
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Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
I |
COMPUTER FUNDAMENTALS AND OFFICE AUTOMATION |
4 |
|
2 |
Major – Core |
II |
Statistical Foundation Of Data Science |
4 |
|
3 |
AECC - English |
I |
BRIGDE - LIFE SKILLS |
3 |
|
4 |
AECC - MIL I
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TELUGU |
SAHITI VASANTHAM |
3 |
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SANSKRIT |
POETRY, PROSE and GRAMMAR |
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HINDI |
PROSE, SHORT STORIES AND GRAMMAR |
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|
URDU |
POETRY |
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|
5 |
Skill Enhancement Course (SEC) |
I |
AI FUNDAMENTALS |
4 |
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1st Year - Semester 2 |
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Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
III |
Python Programming and Data Structures |
4 |
|
2 |
Major – Core |
IV |
4 |
|
|
3 |
AECC - English |
II |
|
3 |
|
4 |
AECC - MIL II
|
TELUGU |
SAHITI KUSUMALU |
3 |
|
SANSKRIT |
|
3 |
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|
HINDI |
|
3 |
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|
URDU |
|
3 |
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|
5 |
MULTI DISCIPLINARY |
II |
|
2 |
|
6 |
Skill Enhancement Course (SEC) |
II |
APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN COMMERCE AND BUSINESS |
4 |
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APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN LIFE SCIENCES |
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APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN COMPUTERS |
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|
7 |
Indian Knowledge System |
I |
|
0 |
|
Community Service Project (minimum of 80 hours with 1 Credit) |
1 |
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2nd Year - Semester 3 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
V |
Data Science with R |
4 |
|
2 |
Major – Core |
VI |
DBMS |
4 |
|
3 |
Major – Core |
VII |
Python for Data Analysis and Visualisation |
4 |
|
4 |
Minor |
I |
|
4 |
|
5 |
AECC - English |
III |
|
3 |
|
6 |
AECC - MIL III
|
TELUGU |
SRUJANATHMAKA RACHANA |
3 |
|
SANSKRIT |
|
3 |
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|
HINDI |
|
3 |
||
|
URDU |
|
3 |
||
|
7 |
MULTI DISCIPLINARY |
II |
|
2 |
|
8 |
Skill Enhancement Course (SEC) |
III |
|
2 |
|
2nd Year - Semester 4 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
VIII |
Data Mining |
4 |
|
2 |
Major – Core |
IX |
Web Application Development using Django |
4 |
|
3 |
Major – Core |
X |
Document Oriented Database |
4 |
|
4 |
Minor |
II |
|
4 |
|
5 |
MULTI DISCIPLINARY |
III |
|
2 |
|
6 |
Skill Enhancement Course (SEC) |
IV |
|
2 |
|
3rd Year - Semester 5 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
XI |
BI Tools |
4 |
|
2 |
Major – Core |
XII |
A) Machine Learning |
4 |
|
B) Big Data Technologies |
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|
3 |
Major – Core |
XIII |
A) Introduction to AI |
4 |
|
B) Cloud Computing for Data Science |
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4 |
Minor |
III |
|
4 |
|
5 |
Minor |
IV |
|
4 |
|
6 |
Environmental Education |
I |
Environmental Education |
2 |
|
3rd Year - Semester 6 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
XIV |
A) Neural Networks and Deep Learning |
4 |
|
B) Time Series Analysis & Forecasting |
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2 |
Major – Core |
XV |
A) Natural Language Processing |
4 |
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B) Data Engineering and Mlops |
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|
3 |
Minor |
V |
|
4 |
|
4 |
Minor |
VI |
|
4 |
|
5 |
Semester Internship (minimum of 180 hours with 3 Credits) |
3 |
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Credit Framework for 3-year UG Program
Credits for Major – 11 x 4 = 44 + 4 x 4 = 16. Total 60 Credits Credits for Minor – 6 x 4 = 24 Credits
Credits for AECC (Languages) – 3 x 3 = 9 for Eng + 3 x 3 = 9 for MIL. Total = 18 Credits for Multidisciplinary Courses – 3 x 2 = 6 Credits
Credits for Skill Enhancement Courses – 2 x 4 = 8 for AI + 2 x 2 for others. Total 12 Credits Credits for Value Added Courses – Env.Edn 2 Credits
Credits for Internships – 4 Credits
TOTAL CREDITS FOR 3-YEAR UG PROGRAMME – 126 Credits.
Why Choose B.Sc. Data Science at Shri Gnanambica Degree College?
Industry-Focused Curriculum covering data analytics, statistics, machine learning, data mining, business intelligence, and predictive modeling.
Experienced Faculty committed to fostering analytical thinking, technical expertise, and innovation.
Hands-on Learning through data analysis projects, case studies, laboratory sessions, workshops, and practical applications.
Modern Tools and Technologies providing exposure to data visualization platforms, programming languages, machine learning frameworks, and cloud-based analytics tools.
Excellent Career Opportunities in data science, business analytics, data engineering, machine learning, market research, and decision-support systems.
Future-Ready Skill Development enabling students to pursue higher education, research, professional certifications, and careers in data-driven industries.
At Shri Gnanambica Degree College, we are committed to nurturing skilled, innovative, and ethical data professionals equipped with the analytical mindset and technical capabilities required to transform data into meaningful insights and impactful decisions.
