Bachelor of Science (B.Sc.) in Computer Science (Artificial Intelligence and Data Science)

About the Department

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The Department of Computer Science (Artificial Intelligence and Data Science) at Sengunthar Arts and Science College aims to empower students with cutting-edge knowledge in AI and Data Science.

The department emphasizes hands-on learning, interdisciplinary approaches, and innovation, preparing students for advanced technological roles in various industries.

Vision

To cultivate world-class professionals skilled in Artificial Intelligence (AI) and Data Science, driving technological innovation and providing data-driven solutions to real-world problems.

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Mission

  • To provide a strong foundation in AI and Data Science through a blend of theoretical and practical knowledge.
  • To foster critical thinking, problem-solving, and innovation in data-driven decision-making.
  • To equip students with the skills to analyze and interpret complex data for industry applications.
  • To prepare students for research and development in emerging technologies.
  • To instill ethical values and an understanding of societal impact in AI and Data Science practices.
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About the Course

The B.Sc. in Computer Science (Artificial Intelligence and Data Science) is a three-year undergraduate program designed to equip students with a deep understanding of AI, data analytics, and machine learning. The course combines foundational computer science education with specialized training in AI and Data Science technologies.

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Course Curriculum

The curriculum is meticulously designed to provide a balance of theoretical knowledge, practical skills, and industry-relevant expertise.

Allied Subjects

  • Mathematics for AI (Linear Algebra, Probability, and Statistics)
  • Data Structures and Algorithms
  • Database Management Systems

Elective Subjects

  • Cloud Computing for Data Science
  • Internet of Things (IoT) and AI
  • Advanced Predictive Analytics

Skill-Based Courses

  • Data Mining and Warehousing
  • Ethical AI and AI Governance
  • Data Security and Privacy

Practical Components:

  • AI and ML Lab
  • Data Science Projects and Capstone Projects
  • Industry Internships

Core Subjects:

  • Fundamentals of Artificial Intelligence
  • Machine Learning Algorithms
  • Deep Learning and Neural Networks
  • Big Data Analytics
  • Data Visualization and Storytelling
  • Programming in Python and R
  • Natural Language Processing (NLP)
  • Computer Vision

Eligibility Criteria

  • Successful completion of Higher Secondary Education (10+2) from a recognized board.
  • A strong background in Mathematics and Computer Science is preferred.
  • Minimum aggregate marks as per the college’s admission guidelines.

Career Opportunities

Graduates of the B.Sc. Computer Science (AI and Data Science) program are equipped for high-demand roles in AI, Data Science, and related fields:

Artificial Intelligence Roles

  • AI Engineer
  • Machine Learning Engineer
  • Robotics Specialist

Data Science and Analytics

  • Data Scientist
  • Data Analyst
  • Business Intelligence Analyst

Emerging Technologies

  • Deep Learning Specialist
  • Natural Language Processing Expert
  • Computer Vision Engineer

IT and Software Development

  • Software Engineer (AI and Data Science Applications)
  • Cloud Data Engineer
  • Data Architect

Higher Studies and Certifications

  • Pursue M.Sc. in Data Science, AI, or certifications in Deep Learning, Big Data Analytics, or Data Engineering.

Research and Development

  • Opportunities in advanced AI research, including autonomous systems and advanced data analytics.

Why Choose SASC for B.Sc. in Computer Science (AI and Data Science)?

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  • Expert faculty with extensive experience in AI and Data Science.
  • State-of-the-art infrastructure, including AI and Data Science labs.
  • Industry-aligned curriculum with practical exposure to emerging technologies.
  • Opportunities for internships, research, and projects with industry partners.
  • Career guidance and placement support in leading IT firms and tech industries.

Affiliated Syllabus

Autonomous Syllabus