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MSc (Artificial Intelligence & Machine Learning)
Program Overview
The MSc (AI-ML) program is designed to develop advanced skills in artificial intelligence, machine learning, and data science. It provides in-depth knowledge of algorithms, neural networks, deep learning, natural language processing, and AI deployment strategies. With hands-on labs, real-world case studies, and industry-integrated internships, students gain the expertise to solve complex problems using intelligent systems. This program prepares graduates to innovate across domains such as healthcare, finance, automation, and robotics, aligning with the needs of tomorrow’s AI-driven world.
2 Years
Duration of program
PG
Level of Study
Faculty Overview
The MSc (AI-ML) program is designed to develop advanced skills in artificial intelligence, machine learning, and data science. It provides in-depth knowledge of algorithms, neural networks, deep learning, natural language processing, and AI deployment strategies. With hands-on labs, real-world case studies, and industry-integrated internships, students gain the expertise to solve complex problems using intelligent systems. This program prepares graduates to innovate across domains such as healthcare, finance, automation, and robotics, aligning with the needs of tomorrow’s AI-driven world.
2 Years
Duration of program
PG
Level of Study
Key Highlights
In-depth AI and ML Training
Hands-on Projects with Real Data
Python and TensorFlow Mastery
Industry-Focused Curriculum with Capstone
Prepares You for Global AI Roles
HOW WILL YOU BENEFIT
Develop intelligent models using Python, TensorFlow, and Scikit-learn on real-world datasets.
Gain exposure to NLP, computer vision, and deep learning through hands-on tools and platforms.
Learn to solve business and social problems through predictive analytics and data modeling.
Become industry-ready with projects, research, and internship experience in AI and ML.
WHAT WILL YOU STUDY
- Machine Learning Algorithms: Study supervised and unsupervised learning, regression, clustering, and model evaluation techniques.
- Deep Learning and Neural Networks: Master CNNs, RNNs, and advanced deep learning architectures using TensorFlow/Keras.
- Natural Language Processing: Understand text analytics, sentiment analysis, and language models using NLP libraries.
- AI in Real-World Applications: Explore AI use cases in healthcare, finance, autonomous systems, and robotics.
- Design, build, and deploy intelligent systems using AI and ML principles.
- Apply critical thinking and data-driven decision-making in complex environments.
- Demonstrate proficiency in programming languages and AI tools.
- Collaborate effectively in interdisciplinary AI projects.
- Contribute to ethical and sustainable AI innovations.
- Advanced understanding of machine learning models, algorithms, and neural networks.
- Ability to apply AI solutions in cross-industry domains using real-time datasets.
- Skilled in AI model development, deployment, and optimization techniques.
- Preparedness for AI certifications (Google, AWS, Microsoft, etc.).
- Foundation for research, innovation, or doctoral studies in AI/ML.
- Train globally competent AI professionals aligned with industry and academic needs.
- Encourage research, innovation, and continuous learning in AI technologies.
- Foster leadership in intelligent system development and ethical AI deployment.
- Enable graduates to contribute meaningfully to society through AI solutions.
- Cultivate entrepreneurial mindset to address future AI challenges.
CURRICULUM
CAREERS AND EMPLOYBILITY
AI/ML Engineer
Data Scientist / Data Analyst
NLP and Computer Vision Specialist
Researcher or AI Consultant
ELIGIBILITY CRITERIA
Graduates with a Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Commerce or a related discipline
minimum of 50% marks are eligible to apply .
