Bachelor of Science in Artificial Intelligence & Machine Learning (B.Sc. AI & ML)
About the Program
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. AI & ML) program at Shri Gnanambica Degree College is designed to equip students with the knowledge and skills required to build intelligent systems and data-driven solutions. The program covers core areas such as artificial intelligence, machine learning, data science, programming, deep learning, computer vision, natural language processing, and modern computational technologies. Through a blend of theoretical concepts and practical applications, students develop analytical thinking, problem-solving abilities, and technical expertise to address real-world challenges.
(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 |
PROGRAMMING WITH C |
4 |
|
3 |
AECC - English |
I |
BRIGDE - LIFE SKILLS |
3 |
|
4 |
AECC - MIL I
|
TELUGU |
SAHITI VASANTHAM |
3 |
|
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 |
|
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 |
Mathematical Foundations for AI |
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 |
|
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 |
Statistical Foundation of AI |
4 |
|
2 |
Major – Core |
VI |
DBMS |
4 |
|
3 |
Major – Core |
VII |
Artificial - Computational Intelligence |
4 |
|
4 |
Minor |
I |
|
4 |
|
5 |
AECC - English |
III |
|
3 |
|
6 |
AECC - MIL III
|
TELUGU |
SRUJANATHMAKA RACHANA |
3 |
|
SANSKRIT |
|
3 |
||
|
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 Science with R |
4 |
|
2 |
Major – Core |
IX |
Foundation of ML & Supervised Learning with Python |
4 |
|
3 |
Major – Core |
X |
Robotics Principles & Embedded systems |
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 |
Unsupervised and Reinforcement Learning |
4 |
|
2 |
Major – Core |
XII |
A) Neural networks & Deep Learning |
4 |
|
B) Big Data Technologies |
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C) Robotics Kinematics & Dynamics |
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|
3 |
Major – Core |
XIII |
A) Natural Language Processing |
4 |
|
B) Cloud computing for Data Science |
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C) Additive Manufacturing and IoT |
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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) Conversational AI |
4 |
|
B) Time Series Analysis & Forecasting |
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C) Robot Operating System |
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|
2 |
Major – Core |
XV |
A) Applications of Natural Language Processing |
4 |
|
B) Data Engineering & MLOps |
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C) Advanced AI Automation & Robotics |
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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. AI & ML at Shri Gnanambica Degree College?
Specialized Curriculum covering artificial intelligence, machine learning, data analytics, deep learning, computer vision, and intelligent system development.
Experienced Faculty dedicated to nurturing innovation, technical excellence, and research-oriented learning.
Hands-on Learning through laboratory sessions, mini-projects, case studies, workshops, and industry-relevant applications.
Modern Tools and Technologies providing exposure to AI frameworks, data analytics platforms, cloud technologies, and emerging industry practices.
Excellent Career Opportunities in artificial intelligence, machine learning, data science, business analytics, automation, software development, and related technology domains.
Future-Ready Skills that prepare students for higher education, research, entrepreneurship, and careers in the rapidly evolving AI-driven digital economy.
At Shri Gnanambica Degree College, we are committed to developing innovative, ethical, and industry-ready AI professionals equipped with the knowledge, technical skills, and adaptability required to thrive in the future of intelligent technologies.
