Department of Artificial Intelligence And Machine Learning
Department Overview
The Department of Artificial Intelligence and Machine Learning (B.E. CSE-AIML) offers a specialized program blending core computer science with AI and machine learning principles. It prepares students to design and develop intelligent systems across various industries, focusing on practical skills in programming, algorithms, cybersecurity, and emerging technologies. Graduates are equipped for careers in software development, data science, system design, and AI research.
Mission
To provide quality education that integrates theoretical knowledge with practical skills in AI, machine learning, and computer science.
To promote research, innovation, and interdisciplinary collaboration to solve real-world problems using intelligent technologies.
To prepare students for successful careers in industry, academia, and entrepreneurship by nurturing critical thinking, ethics, and lifelong learning.
Vision
To be a center of excellence in Artificial Intelligence and Machine Learning education and research, fostering innovation and developing skilled professionals who contribute to transformative technological advancements worldwide.
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Programs Offered
B.E. Computer Science & Engineering – Artificial Intelligence and Machine Learning
The B.E. CSE-AIML program offers a comprehensive education in computer science fundamentals combined with specialized training in artificial intelligence and machine learning. Students gain strong skills in programming, algorithms, data structures, and software engineering, along with practical knowledge in AI, machine learning, data analytics, and emerging technologies. This program prepares graduates for diverse roles in software development, system design, data analysis, and AI application across various industries.
The M.E. CSE-AIML program provides advanced coursework and research opportunities focused on cutting-edge AI and machine learning techniques. It equips students to design and implement innovative solutions for complex real-world challenges in areas such as data science, natural language processing, robotics, and cybersecurity. Graduates of this program are prepared for leadership roles in research, development, and technology innovation in academia and industry.
Equip graduates with strong foundational knowledge in computer science, artificial intelligence, and machine learning to address complex engineering problems.
Foster research, innovation, and practical skills to develop intelligent systems and applications across diverse industries.
Prepare students for successful careers in academia, industry, and entrepreneurship with ethical and professional responsibility.
Encourage lifelong learning to adapt to emerging technologies and evolving industry demands.
Program Specific Outcomes (PSO)
Apply AI and machine learning techniques to design, develop, and deploy intelligent systems for real-world problems.
Utilize modern computing tools and frameworks for data analysis, model building, and software development.
Analyze and optimize algorithms for efficient problem-solving in AI-driven applications.
Programme Outcomes (POs)
Demonstrate knowledge of computing fundamentals, software engineering, and AI principles.
Develop solutions using AI, machine learning, and data analytics for complex engineering challenges.
Conduct experiments, analyze results, and validate models in AI applications.
Understand professional ethics, legal issues, and social responsibilities related to technology.
Communicate effectively within multidisciplinary teams and professional environments.
Engage in lifelong learning to keep pace with technological advancements.
Recognize the impact of AI technology on society and sustainability.
Faculty
Meet our dedicated faculty members who bring expertise, passion, and innovation to the classroom.
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
Discover scholarship opportunities to support your education and reward academic excellence.
Fee Structure
Clear and transparent details on tuition fees and other associated costs.
Eligibility Criteria
Check the academic requirements and qualifications needed to apply for our programs.
Admission Requirements
Find out what documents and prerequisites are necessary for successful admission.
Campus Life
Experience a vibrant campus environment filled with activities, clubs, and support services.
Frequently asked Questions
Find answers to common questions about our Artificial Intelligence and Data Science programs, admissions, and student resources.
What is Artificial Intelligence and Machine Learning in Computer Science Engineering?
Artificial Intelligence (AI) and Machine Learning (ML) are fields focused on developing systems that learn from data to make intelligent decisions. Both B.E. and M.E. programs cover foundational and advanced AI/ML concepts, preparing students to solve real-world problems.
What career opportunities are available after completing B.E. or M.E. CSE-AIML?
Graduates can work as AI Engineers, Machine Learning Specialists, Data Scientists, Research Analysts, Software Developers, System Architects, and hold leadership roles in industries like healthcare, finance, technology, and academia.
What are the key subjects taught in the B.E. and M.E. CSE-AIML programs?
Core subjects include Algorithms, Data Structures, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Cybersecurity, Cloud Computing, and Research Methodologies.
Is prior coding experience required for admission into B.E. and M.E. CSE-AIML programs?
For B.E., foundational programming knowledge is important, while M.E. candidates should have a strong coding background and understanding of AI/ML principles to engage in advanced coursework and research.
What internship and research opportunities do students have during these programs?
Students can intern at leading tech firms, research institutions, and startups, gaining practical experience in AI model development, data analytics, and software engineering. M.E. students also engage in specialized research projects.
Your Future,
Your Choice – We're Here to Guide You.
Confused about which program suits your future goals? Let our experts guide you!
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