About the Course
The B.Tech. in Artificial Intelligence and Data Science is a flagship undergraduate programme that integrates the disciplines of computer science, mathematics, statistics, machine learning, and data analytics. The programme is designed to create graduates with the ability to design, analyze, and implement intelligent systems capable of solving complex real-world problems. By emphasizing both theoretical foundations and applied knowledge, the course prepares students to excel in research, industry, and entrepreneurial ventures in the era of digital transformation.
About the Department
The Department of Artificial Intelligence and Data Science at Trichy Engineering College was established with the objective of producing a new generation of AI professionals, innovators, and researchers. The department is staffed with experienced faculty members, research scholars, and industry practitioners who ensure the delivery of high-quality education aligned with global standards.
Key departmental strengths include:
- Collaborations with industries and research organizations for knowledge sharing and skill development.
- Research-oriented teaching methodologies that encourage innovation and problem-solving.
- Hackathons, workshops, and seminars organized in partnership with leading technology firms.
- A strong focus on developing analytical skills, programming expertise, and ethical responsibility.
The department strives to establish itself as a center of excellence in AI and Data Science education and research.
About the Curriculum
The curriculum is structured in line with AICTE and Anna University guidelines and follows the Outcome-Based Education (OBE) framework. It covers a balance of core courses, electives, industry certifications, and projects to ensure comprehensive professional development.
Electives & Value-Added Modules
- Computer Vision, Robotics, Cybersecurity, IoT with AI, Data Visualization
- Industry Certifications from AWS, Google, and Microsoft AI platforms
Project-Based Learning
- Mini Projects from the second year onwards
- Capstone Projects in the final year, often linked with industrial and societal applications
Core Courses:
- Data Structures and Algorithms
- Database Management Systems
- Artificial Intelligence
- Machine Learning and Deep Learning
- Data Mining and Big Data Analytics
- Probability, Statistics, and Optimization Techniques
- Natural Language Processing
- Cloud Computing and Distributed Systems
This curriculum ensures that graduates possess both academic rigor and industry relevance.
Laboratory Facilities
The department maintains state-of-the-art laboratories that provide experiential learning opportunities:
Artificial Intelligence & Machine Learning Lab
High-performance systems with GPU-enabled computing and AI toolkits.
Data Science & Analytics Lab
Platforms for data visualization, predictive modeling, and statistical analysis.
Programming Lab
Hands-on coding practice in Python, R, Java, and other open-source tools.
Cloud and Big Data Lab
Facilities for cloud platforms (AWS, Azure, GCP), Hadoop, and Spark frameworks.
Innovation & Research Hub
Dedicated space for student-led research, start-up incubation, and prototype development.
These labs foster a culture of innovation, discovery, and research-based learning.
Career Opportunities
The global demand for AI and Data Science professionals continues to expand across sectors such as IT, healthcare, finance, manufacturing, retail, and education. Graduates of this programme are prepared for careers including:
- Data Scientist / Data Analyst
- Machine Learning Engineer
- AI Engineer / Deep Learning Specialist
- Business Intelligence Analyst
- Big Data Engineer
- Research Associate in AI/ML domains
- Entrepreneur in technology start-ups
Graduates may also pursue postgraduate studies (M.Tech./M.S.) or research (Ph.D.) in specialized areas of AI, Data Science, or interdisciplinary technologies.
Eligibility Criteria
Duration
4 Years (8 Semesters), Full-Time Programme
Minimum Eligibility
- Successful completion of 10+2 (Higher Secondary) with Mathematics, Physics, and Chemistry as core subjects.
- Minimum marks as prescribed by Government of Tamil Nadu / Anna University norms for different categories (General / BC / MBC / SC / ST).
- Admission Process: Through Tamil Nadu Engineering Admissions (TNEA) counseling, and as per Anna University regulations.
- Lateral Entry: Diploma holders in relevant engineering branches may be admitted directly into the second year, as per DOTE/Anna University norms.
