Computer Science and Engineering
(Artificial Intelligence and Machine Learning)
Overview
The Department of Artificial Intelligence was established in the year 2020 with an intake of 60 Students. Artificial Intelligence prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. Apart from making them good technocrats, the Department also provides individual attention to make them good citizens of our nation and to serve the industry and society constructively to make them good technocrats through futuristic plans. The Department has state-of-the-art facilities for various labs, well equipped seminar halls, classrooms to support e-learning and a department library. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, E-Commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.
Vision and Mission
To improve fundamentals and make it easier to address the ever expanding needs of society by producing the best leaders in artificial intelligence and machine learning via excellence in research and education.
- DM1: Create centers of excellence in cutting-edge computing and artificial intelligence.
- DM2: Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.
- DM3: To enhance research in emerging areas by collaborating with industries and institutions at the national and international levels.
PEO's and PSO's
- 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.
- PSO-1 Apply fundamental concepts of Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
- PSO-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.
Faculty Details
Syllabus
EResources
Projects
Research and Development
Academic Excellence
Infrastructure
Academic Facilities
Achievements
- 10 students from the 2nd-year CSM (AI&ML) branch of St. Peter’s Engineering College participated in Infinity 2K25, a technical fest at Osmania University on March 21-22, 2025, where Mr. B. Sannith Reddy and Mr. B. Vinay secured 2nd Prize (Cash Prize) in the “Tech Triathlon (AI Quiz Challenge)” among 105 participants, showcasing their excellence in AI and problem-solving.
2 students from III year AI&DS have secured second prize as "Best Poster Presenters" at BITS Pilani college (Hyderabad campus) held on October 21-23, 2024
3rd Position in Project Expo hosted by CMR College of Engineering
Antra Hackathon at SOA University
Hackathon at St. Francis College for Women
A Team from the department of AI&ML represented our college and participated in a hackathon which was organized by Spectrum club of St. Francis college for women, they secured 2nd position and won a cash prize of 5000/- in the hackathon
First Place in MEDHANVESH 2K23 by Department of CSM
