Bachelor of Computer Applications in Artificial Intelligence (BCA AI)
About the Program
The Bachelor of Computer Applications in Artificial Intelligence (BCA AI) program at Shri Gnanambica Degree College is designed to equip students with a strong foundation in computer applications while specializing in the rapidly evolving field of Artificial Intelligence. The program covers programming, data structures, machine learning, artificial intelligence, data analytics, database management, cloud computing, and intelligent system development. Through a blend of theoretical knowledge and practical training, students develop the technical expertise, analytical thinking, and problem-solving abilities required to build innovative AI-driven solutions.
(for Course Outcomes Refer Syllabus of each Course)

|
1st Year - Semester I |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
I |
4 |
|
|
2 |
Major – Core |
II |
4 |
|
|
3 |
AECC - English |
I |
3 |
|
|
4 |
AECC - MIL I
|
TELUGU |
3 |
|
|
SANSKRIT |
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|
HINDI |
||||
|
URDU |
||||
|
5 |
Skill Enhancement Course (SEC) |
I |
4 |
|

|
1st Year - Semester 2 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
III |
DATA STRUCTURES USING C |
4 |
|
2 |
Major – Core |
IV |
ARTIFICIAL AND COMPUTATIONAL INTELLIGENCE |
4 |
|
3 |
AECC - English |
II |
|
3 |
|
4 |
AECC - MIL II
|
TELUGU |
SAHITI KUSUMALU |
3 |
|
SANSKRIT |
|
3 |
||
|
HINDI |
|
3 |
||
|
URDU |
|
3 |
||
|
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 |
|||

|
2nd Year - Semester 3 |
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|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
V |
OOPS Programming with JAVA |
4 |
|
2 |
Major – Core |
VI |
Database Management Systems |
4 |
|
3 |
Major – Core |
VII |
Mathematical & Statistical Foundation for AI |
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 |
||||
|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
VIII |
ML - Supervised Learning with Python |
4 |
|
2 |
Major – Core |
IX |
Robotics Principles - Embedded systems |
4 |
|
3 |
Major – Core |
X |
Computer Networks |
4 |
|
4 |
Minor |
II |
|
4 |
|
5 |
MULTI DISCIPLINARY |
III |
|
2 |
|
6 |
Skill Enhancement Course (SEC) |
IV |
|
2 |

|
3rd Year - Semester 5 |
||||
|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
XI |
Unsupervised, Reinforcement Learning |
4 |
|
2 |
Major – Core |
XII |
A) Neural networks and Deep Learning |
4 |
|
B) Big Data Analysis |
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|
C) Robotics Kinematics and Dynamics |
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|
3 |
Major – Core |
XIII |
A) NLP |
4 |
|
B) Cloud Computing |
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|
C) Additive Manufacturing & IoT |
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|
4 |
Minor |
III |
|
4 |
|
5 |
Minor |
IV |
|
4 |
|
6 |
Environmental Education |
I |
Environmental Education |
2 |

|
3rd Year - Semester 6 |
||||
|
Sl.No |
Category |
Course No |
COURSE NAME |
Credits |
|
1 |
Major – Core |
XIV |
A) Conversational AI & GPTs |
4 |
|
B) Time Series Analysis and Forecasting |
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|
C) Robot OS |
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|
2 |
Major – Core |
XV |
A) Applications of NLP |
4 |
|
B) Data Engineering & MLOps |
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|
C) Advanced AI Automation and Robotics |
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|
3 |
Minor |
V |
|
4 |
|
4 |
Minor |
VI |
|
4 |
|
5 |
Semester Internship (minimum of 180 hours with 3 Credits) |
3 |
||

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.

TOTAL CREDITS FOR 3-YEAR UG PROGRAMME – 126 Credits.

Why Choose BCA AI at Shri Gnanambica Degree College?
Specialized AI Curriculum covering artificial intelligence, machine learning, data analytics, intelligent systems, and modern computing technologies.
Strong Computing Foundation in programming, software development, databases, web technologies, and computer applications.
Hands-on Learning through practical laboratory sessions, projects, workshops, case studies, and industry-oriented activities.
Modern Tools and Technologies providing exposure to AI frameworks, data analytics platforms, cloud computing, and emerging digital technologies.
Excellent Career Opportunities in artificial intelligence, machine learning, software development, data analytics, business intelligence, and technology-driven industries.
Future-Focused Education preparing students for higher studies, professional certifications, research, entrepreneurship, and careers in the AI-powered digital economy.
At Shri Gnanambica Degree College, we are committed to nurturing innovative, ethical, and industry-ready AI professionals equipped with the knowledge, technical skills, and adaptability required to excel in the future of intelligent computing and digital transformation.