BCA (AI & ML) With Sunstone at Takshashila University
BCA in Artificial Intelligence & Machine Learning (AI & ML) at Takshashila University is a specialized undergraduate program designed to equip students with the skills required to excel in AI-driven industries. The course provides a strong foundation in computer applications along with expertise in AI & ML technologies, preparing students for roles in data science, automation, and software development.
Partnership with Sunstone
Takshashila University has partnered with Sunstone, a higher education service provider specializing in skill-based training and employability enhancement. Sunstone collaborates with 35+ institutions across 15+ cities, offering career-oriented training programs that help students secure better job opportunities.
Program Duration
| Course | Duration |
|---|
| BCA in AI & ML | 3 Years |
BCA (AI & ML) Fees Structure
| Fee Component | Amount |
|---|
| College Fee | ₹204,000 |
| Sunstone Fee (Includes Registration Fees) | ₹36,000 |
| Total Fee | ₹240,000 |
Over and Above Fees:
| Fee Type | Amount | Frequency |
|---|
| Registration Fee | ₹10,000 | One Time |
| Enrollment Fee | ₹2,000 | One Time |
| Exam Fee | As per paper | Per Semester |
| Bus Fee | As per University norms | Per Year (Optional) |
Eligibility Criteria for BCA (AI & ML)
| Criteria | Requirement |
|---|
| Minimum Qualification | 12th Pass |
| Required Subjects (Any One) | Computer Science, Information Technology, Information Practice, Mathematics, Business Mathematics, or Statistics |
BCA (AI & ML) Course Outline
The BCA in AI & ML program at Takshashila University covers a blend of fundamental computer applications and specialized AI & ML subjects.
| Semester | Subjects |
|---|
| 1 | C Programming, Computer Fundamentals, Mathematics for Computing, Database Management Systems, Communication Skills |
| 2 | C++ Programming, Data Structures, Operating Systems, Web Technologies (HTML, CSS, JavaScript) |
| 3 | Java Programming, Software Engineering, Artificial Intelligence, MySQL |
| 4 | Python for AI, Machine Learning Basics, Computer Networks, Data Visualization |
| 5 | Deep Learning, Data Science with R, Cloud Computing, Big Data Analytics |
| 6 | DevOps, React, Node.js, Industry Project |
