COMPUTER SCIENCE

B.Sc. (AI & ML)

The B.Sc. in Artificial Intelligence & Machine Learning at Osmania University is a dynamic three-year undergraduate program designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving world of intelligent technologies. Offered under the CBCS (Choice Based Credit System), this program seamlessly blends core computer science principles with specialized training in AI and ML, preparing students for rewarding careers in research, industry, and academia.

Students begin by building a strong foundation in computer science, developing essential problem-solving and programming skills through hands-on learning in programming, data structures, and algorithms.

As they progress, students dive into the exciting world of Artificial Intelligence and Machine Learning, exploring AI problem-solving, search strategies, knowledge representation, and machine learning techniques. The curriculum includes engaging modules on intelligent agents, neural networks, expert systems, and heuristic learning methods, offering both theoretical insights and practical, real-world applications.

This program not only emphasizes technical expertise but also encourages innovation, critical thinking, and a forward-looking approach, ensuring graduates are ready to lead in the era of intelligent technologies.

B.Sc. (AI & ML)

B.Sc. (AI & ML) Academic Year 2022-2023

Course Title	Hours/Week		Credits
	Theory	Practical
Semester-I
Fundamentals of Information Technology	4	3	4+1=5
Semester -II
Object Oriented Programming with Python	4	3	4+1=5
Semester -III
Operating Systems with Linux	4	3	4+1=5
Semester -rv
Data Analytics	4	3	4+1=5
Semester-V
Artificial Intelligence	4	3	4+1=5
Semester-VI
Machine Leaming	4	3	4+1=5

B.Sc. Mathematics Academic Year 2025-2026

Year	Paper	Semester	Subject	Hours/PerWeek		Credits	Marks (IA)	Marks (EE)	Total Marks
Year	Paper	Semester	Subject	Theory	Tutorials
1	DSCI	I	Differential Equations	5	1	5	25	100	125
1	DSCII	II	RealAnalysis	5	1	5	25	100	125
2	DSCIII	III	Differential & Vector Calculus	5	1	5	25	100	125
2	DSCIV	IV	Algebra	5	1	5	25	100	125
3	DSCV	V	LinearAlgebra	5	1	5	25	100	125
3	DSEVI	VI	(A) Numerical Analysis OR (B) Integral Transforms OR (C) Analytical SolidGeometry	5	1	5	25	100	125
3	SEC4	VI	NumberTheory OR Quantitative Aptitude	2	-	2	10	40	50
3	MDC	V	Basic Mathematics (Multi - Discipline)	4	-	4	20	80	100

Machine Learning Engineer – design and implement ML models for real-world applications.
Data Scientist / Data Analyst – analyze data, extract insights, and support data-driven decisions.
Agentic AI Developer (New & Emerging) - This is the breakout role of 2025–2026. Instead of building static chatbots, these developers build AI Agents—systems that can reason, use tools (like your email or calendar), and complete multi-step tasks autonomously.
Full-Stack AI Engineer - Builds a fully deployed, user-facing AI product.
AI Developer / AI Engineer – build intelligent systems, chatbots, and automation solutions.
Business Intelligence (BI) Analyst – optimize business operations using AI-driven analytics.
Robotics & Automation Specialist – develop AI-powered robotic systems.

Specialized Roles with High “Moats” :

A “moat” is a skill that is hard to learn, making you harder to replace.

Healthcare AI Integrator: A massive growth sector. These professionals specialize in FDA-compliant AI, medical imaging, and drug discovery.

AI Product Manager: Bridges the gap between what’s technically possible and what users actually need

Emerging & Interdisciplinary Roles:

Graduates can pursue M.Sc., M.Tech, or Ph.D. in AI, Machine Learning, Data Science, or related fields, opening pathways to research, academia, and advanced industry roles.

Opportunities also exist in specialized domains such as Computer Vision, Natural Language Processing, Deep Learning, Robotics, and Big Data Analytics.