B.E. CSE (AI & Machine Learning)
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About the Department
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Surya Engineering College (SEC) is a specialized department committed to advancing education and innovation in the fields of AI and ML. Recognizing the transformative potential of AI across industries, the department prepares students to become technology leaders and problem-solvers. With an experienced faculty team, AI-focused labs, industry collaborations, and research-driven projects, the department offers students a futuristic academic environment that fosters creativity and excellence.
About the Course
The Bachelor of Engineering (B.E.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a four-year undergraduate program that focuses on equipping students with knowledge of intelligent systems capable of performing tasks traditionally requiring human intelligence. The course covers a wide range of topics including machine learning algorithms, deep learning, natural language processing, robotics, data science, and AI-based system development. It trains students to design smart solutions for real-world problems using cutting-edge technologies.
Vision
To emerge as a leading center of excellence in Artificial Intelligence and Machine Learning education, innovation, and research, producing globally competent professionals who redefine the future through intelligent systems.
Mission
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To provide in-depth technical education in AI and ML technologies along with strong computer science fundamentals.
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To encourage research, innovation, and entrepreneurship in intelligent systems development.
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To instill ethical values, critical thinking, and a commitment to lifelong learning among students.
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To build strategic collaborations with industries and research institutions for hands-on learning and innovation.
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About the Curriculum
The curriculum is carefully designed to provide students with a strong foundation in computer science, supplemented with specialized courses in Artificial Intelligence and Machine Learning:
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Programming Fundamentals, Data Structures, and Algorithms
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Database Management Systems and Software Engineering
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Artificial Intelligence Concepts and Applications
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Machine Learning Algorithms and Deep Learning Frameworks
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Natural Language Processing (NLP)
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Computer Vision and Image Processing
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Robotics and Autonomous Systems
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Reinforcement Learning and Neural Networks
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Data Science, Data Analytics, and Big Data Technologies
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AI in Cloud Computing and IoT Environments
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Ethical Issues and Societal Impacts of AI
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Capstone Projects, Hackathons, Internships, and Research Projects
Students are encouraged to work on real-world projects, participate in AI challenges, and publish research in emerging fields such as explainable AI, human-centered AI, and AI-driven automation.
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Eligibility Criteria
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Completion of 10+2 / Higher Secondary Education with Physics, Chemistry, and Mathematics as compulsory subjects.
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Admission is based on merit through TNEA counseling or management quota, following Anna University and AICTE guidelines.
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Candidates must meet the minimum eligibility marks as prescribed by the regulatory authorities.
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Career Opportunities
Graduates of B.E. Computer Science and Engineering (AI & ML) have vast career opportunities across industries, academia, and research:
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Machine Learning Engineer: Designing and building intelligent algorithms and predictive models.
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Data Scientist / Data Analyst: Analyzing complex datasets to extract meaningful insights.
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Artificial Intelligence Engineer: Developing AI models and deploying AI solutions across sectors.
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Computer Vision Engineer: Working on image recognition, object detection, and related applications.
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Natural Language Processing Specialist: Developing AI applications that understand and interpret human language.
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Robotics Engineer: Designing intelligent robots and automation systems.
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Business Intelligence Developer: Crafting AI-driven tools for business analytics and decision-making.
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Research Scientist (AI/ML): Conducting advanced research in AI, ML, and deep learning technologies.
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Product Manager (AI-based solutions): Managing product development for AI-driven innovations.
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Entrepreneurship in AI Startups: Launching AI-based companies providing smart solutions across healthcare, finance, education, retail, and manufacturing.
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Higher Studies and Research: Pursuing M.E./M.Tech in AI, Data Science, Robotics, or MBA in Analytics and Strategic Technology Management.
With AI and ML being among the most transformative technologies globally, graduates are in great demand across IT companies, tech startups, MNCs, financial institutions, healthcare, e-commerce, research labs, and even government sectors.
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Faculty Details
| S.No | Name | Gender | DOB | Designation | Department | Qualification | Type | Experience (Industry) | Experience (Teaching) | Exp in Present Inst. |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MR. DHARMAN V | M | 06/19/1989 | ASSISTANT PROFESSOR | B.E. – Computer Science and Engineering (Artificial Intelligence and Machine Learning) | M.E | Regular | 5 Y 6 M | 5 Y 6 M |
