This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The B.Sc. Computer Science and Engineering (AI & ML) program at Malla Reddy Vishwavidyapeeth is a future-ready undergraduate course designed to train students in the design, development, and deployment of intelligent systems powered by artificial intelligence and machine learning. This program provides a strong foundation in core computer science while emphasizing AI-driven technologies, data-driven decision-making, and automation across industries.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from 1st semester itself. Students begin with essential programming and mathematical concepts and progressively build skills in machine learning algorithms, deep learning, computer vision, natural language processing, and AI model deployment. Industry-focused labs, capstone projects, and internship opportunities ensure practical experience and alignment with current market demands.
Graduates are prepared for diverse careers in AI, ML, data science, robotics, and cloud-based intelligent systems, as well as for advanced research and entrepreneurial ventures with plenty of job opportunities globally.

Course Details
Description: 4 Years Degree Program
No. of Seats: 40
No. of Credits: 160 minimum & as specified
- Eligibility
- Curriculum Structure
- Program Outcomes
- Career Enhancement
- Higher Studies
- Job Roles & Progression
10+2 or equivalent with a minimum of 50% aggregate in Physics, Chemistry, and Mathematics from a recognized board (CBSE/ISC/State Board).
Semester | Name of the Subject |
Semester 1 | Programming in C/Python, Mathematics for Computer Science, Digital Electronics, English & Communication, Computer Lab |
Semester 2 | Data Structures, Object-Oriented Programming, Introduction to AI & ML, Applied Linear Algebra, Environmental Studies, Lab Work |
Semester 3 | Database Management Systems, Operating Systems, Probability & Statistics, Machine Learning – I, Mini Project |
Semester 4 | Deep Learning, NLP Fundamentals, Software Engineering, Data Visualization, Project-Centric Learning |
Semester 5 | Reinforcement Learning, AI in Real-World Applications (Healthcare, Finance, etc.), Computer Vision, Elective-I (e.g., Generative AI), Research Methodology. |
Semester 6 | Scalable ML Systems, Edge AI & Embedded ML, Cloud Computing for AI, Elective-II (e.g., Robotics & AI), Certification Workshop |
Semester 7 | Industry Internship, Capstone Project Phase-I, Seminar on Emerging Trends in AI & ML |
Semester 8 | Capstone Project Phase-II, Entrepreneurship & Product Development, Advanced Topics in AI & ML, Thesis Submission |
- AI/ML Fundamentals: In-depth understanding of neural networks, supervised and unsupervised learning, and AI algorithms.
- Hands-on Experience: Training on real-world datasets using platforms like TensorFlow, PyTorch, Scikit-learn, and AWS/GCP AI tools.
- Application Focus: Ability to apply AI/ML techniques in fields like healthcare, fintech, agriculture, retail, and robotics.
- Responsible AI: Understanding of ethical, legal, and societal impacts of AI, and bias mitigation strategies.
- Collaboration & Communication: Skills for team-based development, product pitching, and technical documentation.
- Research Readiness: Exposure to research methodologies, academic publishing, and experimentation.
- TensorFlow Developer Certification
- Advanced ML with Python
- AI Model Deployment on Cloud (AWS/GCP)
- NLP and Chatbot Development Bootcamp
- Ethical AI & Bias-Free Modelling Course
- Industry-led AI Innovation Challenge Program
- M.Sc. in AI & Machine Learning / Data Science
- M.Tech. in Intelligent Systems or Robotics
- Postgraduate Diploma in Deep Learning
- MBA in Data Analytics / Tech Management
- Ph.D. in AI/ML or Cognitive Computing
Duration | Roles and Responsibilities | Salary Range |
0-3 years | Junior AI Developer, ML Analyst, Data Engineer | ₹5,00,000 – ₹7,50,000 per annum |
3-5 years | Machine Learning Engineer, NLP Specialist, Deep Learning Engineer | ₹7,50,000 – ₹12,00,000 per annum |
5-10 years | AI Architect, Data Science Lead, AI Product Manager | ₹12,00,000 – ₹18,00,000 per annum |
10+ years | AI Strategy Director, CTO (AI/ML), Research & Innovation Head | ₹18,00,000+ per annum |

Fee Structure Per Academic Year - 2025
Tuition Fee | Miscellaneous Fee | Scholarship | |||
150000 ₹ | 10000 ₹ | Above 95% – 150000 ₹ | Above 91% – 75000 ₹ | Between 81-90% – 15000 ₹ | Between 71-80% – 7500₹ |
Tuition Fee | Miscellaneous Fee | Scholarship | ||
150000 ₹ | 10000 ₹ | Above 90% – 30000 ₹ | Between 80-90% – 15000 ₹ | Between 70-80% – 7500 ₹ |
