About

  • Home
  • Academics
  • Machine Learning (AI and ML)
Dr. M Dakshayini

Dr. M Dakshayini

Professor and Head (Cluster A) - Department of Machine Learning

Dr. Sandeep Varma N

Dr. Sandeep Varma N

Professor and Head (Cluster B) - Department of Machine Learning

About Department

The Department of Machine Learning at B.M.S. College of Engineering, established in 2020, is a rapidly growing discipline focused on advancing education and research in Artificial Intelligence and Machine Learning. With an undergraduate intake of 360, the department emphasizes cutting-edge areas such as Deep Learning, Data Mining, Big Data, Natural Language Processing, and Generative AI. The faculty, a blend of experienced and innovative educators, excels in making complex concepts accessible and engaging, enriched by industry experience and interdisciplinary collaborations. The department is dedicated to shaping skilled professionals ready to tackle today's technological challenges.

Department Profile

ABOUT B.S. NARAYAN CENTER OF EXCELLENCE IN AI & ML
B. S. Narayan Center of Excellence (CoE) in Artificial Intelligence & Machine Learning manages research and development activities related to Al at the Department of Machine Learning, BMSCE. It fosters dynamic industry-academic synergy for AI adoption, impactful projects with industry and government, facilitating the NVIDIA DGX A100 server, the world's first purpose-built system for Deep Learning and accelerated analytics, delivering performance of 56 instances in parallel without any deterioration of performance and computations.

Vision

To achieve educational excellence in the field of Artificial Intelligence and Machine Learning by imparting quality education for a sustainable society.

Mission

1. Impart quality education in Artificial Intelligence and Machine Learning through an industry-oriented curriculum, effective teaching-learning process and experiential learning.

2. Foster innovation, research , entrepreneurship and life-long learning for the holistic and professional development of learners.

3. Expose learners to real-world challenges and emerging technologies through state-of-the art infrastructure and industry collaboration.

UG - B.E in Artificial Intelligence and Machine Learning

Programme Educational Objectives (PEOs)

PEO1Acquire fundamentals and expertise in data engineering skills for professional career in industry, government, academia as innovative engineers.
PEO2Pursue higher studies with research potential.
PEO3Demonstrate professional ethics and attitude as an individual or team member at workplace and function professionally in a global competent world.

Programme Specific Objectives (PSOs)

PSO1Software Systems: Apply the skills of cognitive computing, artificial intelligence and machine learning in the field of data engineering to develop intelligent systems.
PSO2 Recommendation Systems: Demonstrate Computational knowledge, practical competency and innovative ideas in Artificial Intelligence & Machine Learning.
PSO3Data Driven Systems: Use modern tools and techniques to solve problems in Machine Learning, Deep Learning, Computer Vision and Natural Language Processing.