icon Overview

The Department of Artificial Intelligence and Data Science offers a 4 Year B.Tech Artificial Intelligence and Data Science affiliated to Anna University. Artificial Intelligence (AI) and Data Science (DS) programme is specifically designed and offered in response to the rapidly developing field of data science and AI that are currently gaining unprecedented popularity. The programme aims to produce the next generation of highly skilled graduates to propel the high-value economy growth of our country. The programme strikes a balance between Computing , Statistics and Mathematical Sciences, which enables it to provide a more comprehensive training in terms of the computing aspects of data science.

Skills you will gain

  • Intelligent Systems
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Data Science
  • Data Analytics and Mining
  • Big Data Management
  • Data Visualization
  • Probabilistic Modeling and Reasoning
  • Cloud Technologies
  • Internet of Things
  • Statistical Learning

icon Vision

To become a multidisciplinary department through creativity and innovation developing systems with Artificial Intelligence and Data Science

icon Mission

  • Engage collaborative activities with the industry to produce industry-ready and future-ready talent.
  • Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.
  • Practice and instill the highest standards of professional ethics, transparency and accountability at all levels.
  • Provide multi-disciplinary research and innovation driven academic environment.

Programmes

  • B.Tech – Artificial Intelligence and Data Science
Program Educational Objectives
PEO1: Foundation
Graduates will have progressive learning to design and harness the power of AI in broad application fields from vision to advanced autonomous systems.
 
PEO2: Analytical Skill 
Graduates will expertise to turn actionable insights and cutting-edge technology into innovative products towards solving real-world problems.
 
PEO3: Leadership Skill
Graduates will examine large amounts of data to uncover hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.
Program Outcomes

1. Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the IT enabled solution of complex engineering problems.
 
2. Problem Analysis
Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated IT enabled conclusions using first principles of mathematics, natural sciences, and engineering sciences.
 
3. Design/development of solutions
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
 
4. Conduct investigations of complex problems 
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
 
5. Modern Tool usage
Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
 
6. The Engineer and Society
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
 
7. Environment and Sustainability
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
 
8. Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
 
9. Individual and Team work 
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
 
10. Communication  
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
 
11. Project management and finance 
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
 
12. Lifelong learning
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes
PSO1: Technical Skills 
Apply the fundamental knowledge to develop intelligent systems using computational principles, methods and systems for extracting knowledge from data and modern computational systems
 
PSO2: Leadership Skills
Demonstrate professionalism and ethics in managing academic/ non-academic activities as a team and an individual.
 
PSO3: Social Responsibility
Develop an attitude to understand the societal issues and apply the acquired professional skills to provide feasible IT-based solutions