Department of Computer Science (Artificial Intelligence & Data
Science)
UG Course Offered:
Bachelor of Science in Computer Science (Artificial Intelligence & Data Science)
About the Department
The Department of Computer Science (Artificial Intelligence & Data Science) was established in the
academic year 2024–2025 with a sanctioned strength of 50 students 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.
- Course Name: B.Sc. Computer Science (Artificial Intelligence & Data Science)
- Duration: 3 Years (Undergraduate Programme)
- Affiliation: Bharathiar University
- Sanctioned Strength: 50 Students
- Eligibility: Candidates who have passed Higher Secondary (10+2) with Mathematics or Computer Science.
- Research Focus: Artificial Intelligence, Machine Learning, Data Analytics, Cognitive Science, and Intelligent Systems.
About the Course
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.
The programme aims to equip students with the knowledge and skills to design, develop, and deploy
intelligent data-driven solutions for real-world problems while emphasizing ethical
considerations and lifelong learning.
The programme integrates theory with real-world applications in
Healthcare, Business Analytics, Cyber Security, and Automation.
- Data Structures and Algorithms
- Programming in C, C++, Java, and Python
- Cognitive Science and Analytics
- Database Management Systems (DBMS)
- Artificial Intelligence & Machine Learning
- Deep Learning & Neural Networks
- Big Data Analytics & Cloud Computing
- Data Visualization & Business Intelligence
About the Curriculum
The curriculum is framed as per Bharathiar University guidelines, ensuring industry relevance
and academic excellence.
- Core Subjects: Artificial Intelligence, Cognitive Science, Data Science, Robotic Process Automation
- Allied Papers: Optimization Techniques, Operating System Design, Data and Information Security
- Skill-Based Courses: Data Analytics, Machine Learning
- Electives: Big Data Analytics, Cyber Security, Deep Learning, Ethical Hacking, Digital Forensics, Natural Language Processing, Data Visualization, Social Network Analysis
- Capstone Project: Industry-linked pre-final year project
- Internship / Training: Live projects and industry exposure
Students are encouraged to pursue NPTEL, SWAYAM, and MOOC certifications to enhance employability.
Syllabus:
View Bharathiar University AI & DS Syllabus
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
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.
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
Career Opportunities
The programme prepares graduates skilled in data analysis, intelligent system development, and innovation,
capable of applying AI and Machine Learning to solve complex problems across various industries.
- 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)
Unique Highlights
- Data Science provides essential data for AI system training, while AI improves data analysis by automating tasks
- AI extends data science by moving from predictive to prescriptive analytics
- AI techniques process unstructured data such as text and images, broadening the scope of data analysis
- Industry-oriented internships and live projects
- Hackathons, coding challenges, and technical workshops