Department of Computer Science (Artificial Intelligence & Data Science)

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UG Course Offered: Bachelor of Science in Computer Science (Artificial Intelligence & Data Science)

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About the Department

The Department of Computer Science (Artificial Intelligence & Data Science) was established in the academic year 2024–2025 to address the growing demand for skilled professionals in intelligent computing and data-driven technologies.

The department provides a strong foundation in computer science along with advanced knowledge in Artificial Intelligence, Machine Learning, and Data Science, nurturing innovative thinkers and ethical technologists ready for future challenges.

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About the Course – B.Sc. AI & Data Science

The B.Sc. Computer Science (Artificial Intelligence & Data Science) is a three-year undergraduate programme affiliated to Bharathiar University. The course equips students with analytical, programming, and problem-solving skills required for intelligent system development.

• Programming in Python, C, and Java
• Data Structures and Algorithms
• Database Management Systems (DBMS)
• Artificial Intelligence & Machine Learning
• Deep Learning & Neural Networks
• Big Data Analytics & Cloud Computing
• Data Visualization & Business Intelligence

The programme integrates theory with real-world applications in healthcare, business analytics, cybersecurity, and automation.

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About the Curriculum

The curriculum is framed as per Bharathiar University guidelines, ensuring industry relevance and academic excellence.

• Core Subjects: Computer Science, AI, Machine Learning, Data Science
• Allied Papers: Mathematics, Statistics, Cognitive Science
• Skill-Based Courses: TensorFlow, Power BI, Tableau, R, Hadoop
• Electives: NLP, Computer Vision, Cloud AI, Big Data
• Capstone Project: Industry-linked final year project
• Internship / Training: Live projects and industry exposure

Students are encouraged to pursue NPTEL, SWAYAM, and MOOC certifications to enhance employability.

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Mission

• Deliver quality education in Artificial Intelligence and Data Science
• Develop technically strong and ethically responsible professionals
• Bridge the gap between academia and industry
• Promote research, innovation, and interdisciplinary learning
• Encourage AI solutions for societal and environmental challenges

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Vision

To become a centre of excellence in Artificial Intelligence and Data Science by producing skilled professionals who contribute to technological advancement and sustainable development.

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About the Laboratory

• High-performance systems with GPU support
• AI & ML tools: Python, TensorFlow, R Studio, Anaconda
• Cloud platforms for data analytics and deployment
• Real-world datasets and simulation environments
• Hands-on project development and research support

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Career Opportunities

• Data Analyst / Data Scientist
• Machine Learning Engineer
• AI Engineer / Research Assistant
• Business Intelligence Analyst
• Software Developer
• Database Administrator
• Cloud Data Engineer
• Research Associate (AI / ML)

Graduates can pursue higher studies such as M.Sc. AI, Data Science, Computer Science or global professional certifications.

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Unique Highlights

• Future-ready AI & Data Science curriculum
• Industry-oriented internships and live projects
• Hackathons, coding challenges, and tech workshops
• Participation in innovation summits and conferences
• Strong mentoring system and placement training

View syllabus