B.C.A. (AI & ML/ Data Science)

BACHELOR OF COMPUTER APPLICATIONS (Specialization in AI & ML /Data Science)

As per NEP 2020 | Kumaun University

Multiple Exit Options & Progressive Qualifications

After 1 Year: Certificate in Computer Applications

After 2 Years: Diploma in Computer Applications

After 3 Years: Bachelor of Computer Applications (BCA)

After 4 Years: BCA (Honours / Honours with Research)

Major Highlights

· Industry-oriented curriculum

· Practical labs

· Internships

· Skill development

· High-demand IT careers

“Where Technology Meets Opportunity”

After completing BCA, students can explore exciting careers in the IT and technology sector. They can work as software developers, web designers, app developers, data analysts, system administrators, cybersecurity professionals, and IT support executives in IT companies, startups, MNCs, banks, government organizations, and tech firms. Students can also pursue higher studies like MCA, MBA, or specialized certifications. With strong demand, innovation-driven work culture, and global opportunities, BCA opens the door to a high-growth, high-paying, and future-ready

Eligibility

10+2 with any stream with 45% for GEN, & 40% for SC/ST

Syllabus

1st semester	2nd Semester
Mathematics Foundations to Computer Science - I	Mathematics Foundations to Computer Science - II
Problem Solving Techniques	Data Structures
Computer Architecture	Operating Systems
General English - I	Object Oriented Programming using Java
Indian Knowledge System^	Web Technologies
Environmental Science and sustainability	Indian Constitution
Additional Course - Indian or Foreign Language Other than Mother Tongue and English (1-1- 0)) [optional course]*	Additional Course - Indian or Foreign Language Other than Mother Tongue and English (1-1-0)) [optional course]*

3rd Semester	4th Semester
Probability and Statistics	Entrepreneurship and Startup Ecosystem
Data Base Management System	Computer Networks
Python Programming	Design and Analysis of Algorithm
Software Engineering	Artificial Intelligence
Professional Elective – I	Professional Elective – II
Yoga/Sports/NCC/NSS/Disaster Management	Design Thinking and Innovation

5th Semester	6th Semester
Professional Elective – III	Generative AI
Professional Elective – IV	Professional Elective – VI
Professional Elective – V	Professional Elective – VII
Quantitative Techniques	Soft Skills
Internship/capstone Project	Major Project [Initiated in 5th Semester]
Major Project [ evaluation in sixth semester]

7th Semester	8th Semester
Social Network Analysis	Professional Elective – X
Optimization of ML	Professional Elective – XI
Professional Elective – VIII	Professional Elective – XII
Professional Elective – IX	Dissertation work [Started in Seventh semeste
Dissertation work [evaluation in Eight semester]
Summer Internship II

Note: The subject(s) offered in each semester may be changed, updated, or revised from time to time as per the university guidelines, curriculum revisions, and applicable academic regulations.