M.Sc. CSE (Artificial Intelligence)
This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The M.Sc. Computer Science and Engineering (Artificial Intelligence) program at Malla Reddy Vishwavidyapeeth is a cutting-edge postgraduate course that focuses on equipping students with a comprehensive understanding of AI theory, technologies, and practical applications. The program is designed to develop professionals who can build intelligent systems using machine learning, deep learning, and data analytics to solve complex problems in various industries.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from the 1st semester itself.From the first semester, students engage with advanced topics in algorithms, neural networks, natural language processing, computer vision, and ethical AI. The curriculum combines theoretical knowledge with hands-on training using industry-relevant tools such as TensorFlow, PyTorch, Keras, and cloud-based AI platforms.
Graduates of this program emerge as AI Specialists and Technological Innovators, ready to contribute to advanced research, product development, and AI strategy implementation across diverse sectors including healthcare, finance, education, robotics, and government, enabling them to pursue further higher studies & do research in AI Specialists and Technological Innovatorsalong with plenty of job opportunities globally.
Course Details
Description: 2 Years Degree Program
No. of Seats: 20
No. of Credits: 80 minimum & as specified
Academic Qualification: A Bachelor’s degree in B.Sc. Computer Science/Information Technology/Mathematics/Statistics/AI/Data Science or a B.Tech./B.E. in Computer Science/IT/ECE or equivalent with at least 50% aggregate marks from a recognized university.
Semester | Name of the Subject |
Semester 1 | Advanced Algorithms and Data Structures, Linear Algebra and Probability for AI, Fundamentals of Artificial Intelligence, Research Methodology, Practical: AI Programming in Python |
Semester 2 | Machine Learning Techniques, Natural Language Processing, Deep Learning and Neural Networks, Practical: ML and NLP Implementation |
Semester 3 | Computer Vision and Pattern Recognition, Reinforcement Learning, AI Ethics and Policy, Elective (e.g., AI in Healthcare / Finance / Robotics), Practical: AI Applications Project |
Semester 4 | AI Capstone Project / Research Thesis, Advanced Topics in AI (e.g., Generative AI, Explainable AI), AI Deployment using Cloud Platforms, Innovation & Entrepreneurship in AI |
- Advanced AI Techniques: Mastery of machine learning, deep learning, NLP, computer vision, and reinforcement learning.
- Real-World Applications: Ability to build, test, and deploy AI models across sectors including healthcare, security, education, and automation.
- Mathematical & Programming Proficiency: Strong grasp of linear algebra, statistics, and programming tools such as Python, TensorFlow, and PyTorch.
- Ethical & Responsible AI: Understanding of data governance, bias mitigation, and AI regulation policies.
- Research Orientation: Skills in conducting AI research, publishing findings, and contributing to the academic and industrial AI community.
- Entrepreneurial Thinking: Exposure to AI product design, prototyping, and startup innovation.
- TensorFlow and PyTorch Certifications
- Google Cloud / AWS AI/ML Engineer Track
- Specialization in NLP and Conversational AI
- Advanced Computer Vision & Object Detection Course
- AI for Social Good / AI in Healthcare Bootcamp
- Startup Accelerator for AI-driven Products
- Ph.D. in Artificial Intelligence / Machine Learning / Cognitive Science
- M.Phil. in Intelligent Systems
- Fellowships in AI Ethics, Policy, or AI for Public Good
- Postdoctoral Research in Deep Tech or Quantum AI
Duration | Roles and Responsibilities | Salary Range |
0-3 years | AI/ML Engineer, Data Scientist, Junior NLP/Computer Vision Engineer | ₹5,00,000 – ₹8,00,000 per annum |
3-5 years | Deep Learning Engineer, AI Solution Architect, Senior AI Research Engineer | ₹8,00,000 – ₹12,00,000 per annum |
5-10 years | AI Product Manager, Head of AI Strategy, Lead AI Scientist | ₹12,00,000 – ₹20,00,000 per annum |
10+ years | Chief AI Officer, Director of AI Innovation, Global AI Policy Advisor | ₹20,00,000+ per annum |
Fee Structure Per Academic Year - 2025
| Tuition Fee | Miscellaneous Fee | Scholarship | |||
| 125000 ₹ | 10000 ₹ | Above 90% – 25000 ₹ | Between 81-90% – 12500 ₹ | Between 71-80% – 6250₹ | |
