Computer Science and Engineering
(Artificial Intelligence and Data Science)
Overview
Artificial Intelligence and Data Science, as branches of engineering, blend methodologies from statistics, cognitive science, computing, and information science to extract insights from data. This knowledge drives intelligent business decisions by collecting, categorizing, strategizing, analyzing, and interpreting data. These fields specialize in developing data-driven solutions, data visualization tools, and techniques for handling big data, incorporating machine learning and deep learning to solve computational problems.
Suitable for those interested in creating intelligent business solutions, AI and Data Science offer lucrative career opportunities. Graduates can design and implement AI and DS-based software solutions, utilizing the latest tools and technologies to solve real-world problems. They acquire skills in data handling, knowledge extraction, and various application developments, contributing significantly to industries like manufacturing, e-commerce, finance, and healthcare.
Vision
To be a vibrant nodal center for Artificial Intelligence and Data Science Education, Research that make the students to contribute to technologies for IT, IT-Enabled Services; to involve in innovative research on thrust areas of data science industry and academia; to establish start-ups supporting major players in the industry.
Mission
DM 1 : Emphasize project based learning by employing the state-of art technologies, algorithms in software development for the problems in Data science using AI.
DM 2 :Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
DM 3 :Facilitate to learn the theoretical nuances of AI techniques, Computer Engineering courses and motivate to carry out research in both core and applied areas of AI.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO1: Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.
Faculty Details
Events
Online Content Development
Projects
E-Resources
Roll of Honour
Overview
Artificial Intelligence and Data Science, as branches of engineering, blend methodologies from statistics, cognitive science, computing, and information science to extract insights from data. This knowledge drives intelligent business decisions by collecting, categorizing, strategizing, analyzing, and interpreting data. These fields specialize in developing data-driven solutions, data visualization tools, and techniques for handling big data, incorporating machine learning and deep learning to solve computational problems.
Suitable for those interested in creating intelligent business solutions, AI and Data Science offer lucrative career opportunities. Graduates can design and implement AI and DS-based software solutions, utilizing the latest tools and technologies to solve real-world problems. They acquire skills in data handling, knowledge extraction, and various application developments, contributing significantly to industries like manufacturing, e-commerce, finance, and healthcare.
Vision
To be a vibrant nodal center for Artificial Intelligence and Data Science Education, Research that make the students to contribute to technologies for IT, IT-Enabled Services; to involve in innovative research on thrust areas of data science industry and academia; to establish start-ups supporting major players in the industry.
Mission
DM 1 : Emphasize project based learning by employing the state-of art technologies, algorithms in software development for the problems in Data science using AI.
DM 2 :Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
DM 3 :Facilitate to learn the theoretical nuances of AI techniques, Computer Engineering courses and motivate to carry out research in both core and applied areas of AI.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO1: Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.
Faculty Details
Events
Supportive Faculty & Industry Exposure
“The faculty at St. Peter’s Engineering College is incredibly supportive, guiding us not only in academics but also in career planning. Regular industry interactions, workshops, and internships helped me gain real-world experience and prepare for my future.”
Vibrant Campus Life & Extracurricular Activities
“Beyond academics, St. Peter’s Engineering College offers a vibrant campus life. From technical fests to cultural events, every student gets a chance to showcase their talents. The college truly believes in all-round development.”
Excellence in Academics & Infrastructure
“St. Peter’s Engineering College provides the perfect blend of academic excellence and state-of-the-art infrastructure. The faculty is highly knowledgeable, always encouraging students to explore beyond textbooks. The campus facilities, from well-equipped labs to a vast library, make learning an enjoyable experience.”
