M.Sc. CSE (Artificial Intelligence
& Machine Learning)
This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The M.Sc. Computer Science and Engineering (Artificial Intelligence & Machine Learning) program at Malla Reddy Vishwavidyapeeth is a specialized postgraduate course aimed at producing highly skilled professionals with in-depth expertise in AI and ML technologies. The program combines theoretical rigor with practical applications, preparing students to design, develop, and deploy intelligent systems that learn and adapt.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from the 1st semester itself. From the first semester, students explore algorithmic foundations, data handling, model training, deep learning, reinforcement learning, and real-world deployment. The curriculum is carefully structured to include hands-on learning using platforms such as Python, TensorFlow, PyTorch, and cloud AI services.
Graduates emerge as AI/ML Engineers and Innovators, ready to lead AI-driven transformations in sectors such as healthcare, fintech, cybersecurity, robotics, smart cities, and more enabling them to pursue further higher studies & do research in AI/ML Engineers and Innovators along 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 / IT / Data Science / Mathematics / Statistics or a B.Tech./B.E. in CSE / IT / ECE or equivalent with minimum 50% aggregate marks from a recognized university.
Semester | Name of the Subject |
Semester 1 | Advanced Data Structures & Algorithms, Mathematics for AI & ML, Introduction to AI & ML, Research Methodology, Practical: Python for AI & ML |
Semester 2 | Machine Learning Techniques, Neural Networks and Deep Learning, Statistical Learning, Practical: Model Building and Evaluation |
Semester 3 | Natural Language Processing, Reinforcement Learning, AI/ML in Real-world Applications (e.g., Health, Finance, Cybersecurity), Elective (e.g., Computer Vision / Explainable AI), Practical: Domain-Specific ML Projects |
Semester 4 | AI/ML Capstone Project / Thesis, AI Deployment using Cloud and Edge Computing, Emerging Topics in AI (e.g., Generative AI, Federated Learning), Innovation & Entrepreneurship in AI/ML |
- Comprehensive AI/ML Mastery: Proficiency in supervised, unsupervised, and reinforcement learning techniques.
- End-to-End Model Development: Expertise in data preprocessing, model selection, tuning, deployment, and monitoring.
- Domain-Specific Applications: Ability to apply AI/ML to complex problems in finance, health, retail, cybersecurity, etc.
- Advanced Tools & Frameworks: Hands-on experience with tools like TensorFlow, Keras, Scikit-learn, and cloud platforms.
- Ethics & Responsible AI: Understanding of fairness, transparency, and accountability in machine learning.
- Innovation Readiness: Skills to conceptualize and launch AI-powered products or startups.
- TensorFlow Developer Certification
- Advanced ML Specialization (Coursera/edX certified)
- NLP & Computer Vision Bootcamps
- AI Deployment with AWS/GCP Certification
- AI Startup Accelerator Program
- Workshops on Responsible & Explainable AI
- Ph.D. in AI/ML, Intelligent Systems, or Computational Learning
- M.Phil. in AI Applications
- Research Fellowships in Ethical AI, Edge AI, or Smart Systems
- Postdoctoral Studies in AI Innovation
Duration | Roles and Responsibilities | Salary Range |
0-3 years | ML Engineer, AI Developer, Junior Data Scientist, NLP/Computer Vision Engineer | ₹5,00,000 – ₹8,00,000 per annum |
3-5 years | Senior ML Engineer, AI Research Engineer, Domain-Specific AI Expert | ₹8,00,000 – ₹12,00,000 per annum |
5-10 years | AI Architect, Lead Data Scientist, Product Manager – AI | ₹12,00,000 – ₹20,00,000 per annum |
10+ years | Director – AI/ML, Chief AI Officer, Global AI Strategist | ₹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₹ | |
