Explore the frontiers of AI and Machine Learning with a research-driven, industry-focused program.
Course Overview
The M.E. Computer Science and Engineering program specializing in Artificial Intelligence and Machine Learning is designed to equip students with advanced knowledge and skills to address the dynamic challenges of the IT industry. The curriculum balances foundational computer science concepts with cutting-edge AI and ML technologies, offering a flexible range of electives to deepen expertise in specific areas. With excellent facilities and a strong focus on research and innovation, the program prepares graduates to contribute meaningfully to both academia and industry, driving the future of intelligent computing and data science.
Our M.E. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning offers an advanced curriculum covering core AI techniques, deep learning, neural networks, natural language processing, and data analytics. The syllabus integrates theory with hands-on projects to equip students with industry-relevant skills for solving complex real-world problems.
We proudly collaborate with top companies that value talent and innovation, offering our students exceptional career opportunities.
Master advanced AI and ML algorithms to develop intelligent systems and applications.
Gain expertise in deep learning, natural language processing, and computer vision techniques.
Analyze large datasets to extract meaningful insights using data mining and analytics tools.
Design and implement AI-driven solutions for diverse industries including healthcare, finance, and robotics.
Prepare for research and development roles in AI, contributing to innovation and technological growth.
Develop critical thinking and problem-solving skills for emerging AI challenges.
Career Opportunities
AI Research Scientist
Data Scientist
AI Solutions Architect
Machine Learning Engineer
Robotics Engineer
Computer Vision Specialist
Our Esteemed Recruiters
We proudly collaborate with top companies that value talent and innovation, offering our students exceptional career opportunities.
From SSIET to the World’s Leading Companies
Graduates from SSIET are well-prepared to enter the world’s best companies. With strong technical expertise, innovative thinking, and problem-solving abilities, our alumni make a difference in shaping industries worldwide.
Step-by-step guide to submitting your application and joining our university community.
Scholarships
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Fee Structure
Clear and transparent details on tuition fees and other associated costs.
Eligibility Criteria
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Admission Requirements
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Campus Life
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Frequently asked Questions
Find answers to common questions about our Computer Science & Engineering (AI&DS) programs, admissions, and student resources.
What are the core subjects covered in the AI & ML specialization?
Key subjects include Machine Learning Algorithms, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, Data Mining, and AI Ethics.
Does the program include practical projects or research components?
Yes, the curriculum emphasizes hands-on projects, real-world case studies, and a thesis/research project to apply AI and ML techniques.
What programming languages and tools are used in the course?
Students work extensively with Python, R, TensorFlow, Keras, PyTorch, MATLAB, and data analysis libraries like Pandas and NumPy.
Are there opportunities for internships or industry collaborations?
Many programs facilitate internships, industry projects, and collaborations with AI-focused companies and research labs.
What career roles can I expect after completing this specialization?
Graduates typically pursue roles such as Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Specialist, and AI Product Manager.
Your Future,
Your Choice – We're Here to Guide You.
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