Department of Artificial Intelligence & Machine Learning

  • home
  • Department of Artificial Intelligence & Machine Learning
Some of our landmark achievements are as under :
  • Paper published :25

  • Book Published :01

  • Patent Published :02

  • Conference :08

Teachers Images

Dr. Kunal P. Raghuwanshi

Assistant Professor & Head


Programme Overview:

B.Sc. Artificial Intelligence and Machine Learning is a cutting-edge degree designed to equip students with strong foundational knowledge and hands-on skills in AI, machine learning, data science, and related technologies. The programme blends theory and practical application, covering topics such as deep learning, natural language processing, computer vision, robotics, and ethical AI. Graduates will be prepared for high-demand careers in tech-driven industries and further academic research in emerging areas of intelligent systems.


Programme Outcomes:

• Apply engineering, mathematics, and AI & ML knowledge to solve complex computing problems.
• Analyze and model real-world problems using AI and machine learning techniques.
• Design and develop intelligent systems that meet technical, societal, and environmental needs.
• Apply AI solutions responsibly while considering societal, legal, and ethical implications.
• Use modern AI tools, programming languages, and computing platforms effectively.
• Develop sustainable and environmentally conscious AI-driven solutions.
• Demonstrate professional ethics, fairness, privacy, and accountability in AI applications.
• Apply project management and entrepreneurial skills in AI-based projects.
• Engage in lifelong learning to adapt to emerging AI technologies and industry trends.


Career Prospects:

B.Sc. (Hons.) AI and ML graduates will be able to work in an array of job prospects. Listed below are some of the popular career prospects after graduation:
• AI/ML Engineer
• Data Scientist / Data Analyst
• Computer Vision Engineer
• Natural Language Processing (NLP) Engineer
• Business Intelligence Analyst
• AI Research Associate
• Automation Specialist
• Software Developer (AI-focused)
• AI Product Manager


Eligibility Criteria for Admission:

12 th Science with Mathematics and Statistics.


The programme offered by the department:



Details Of Faculty Members

Teachers Images

    Dr. K. P. Raghuwanshi

    Assistant Professor and Head

  • Qualification : B.Sc, M.C.A., PhD
  • Teaching Experience : 19 Years
  • Industrial Experience : 01 Year
  • Expert Area: Advanced Technology, SEO, Data Mining, AI&ML
  • Email : kunalraghuwanshi24@ gmail.com
  • Mobile : 9860467327

Teachers Images

    Ms. Sudeshna R. Kajale

    Assistant Professor

  • Qualification : BCA, MCA, PhD (Pursuing)
  • Teaching Experience : 05 Years
  • Expert Area : Advanced Technology, Web Mining , Data Mining AI&ML and NLP
  • Email : kajalesudeshna@gmail.com
  • Mobile : +91 8830152028

Teachers Images

    Mr. Vinay Lende

    Assistant Professor

  • Qualification : BCA, MCA
  • Teaching Experience : 1 Years
  • Expert Area : Web Technology, Java, Python, AI&ML
  • Email : vlende66@gmail.com
  • Mobile : +91 9850556730