Department of Computer Science and Engineering (Artificial Intelligence And Machine Learning)

Home | Computer Science and Engineering (Artificial Intelligence And Machine Learning)
Our Initiatives
Spoken Tutorial The Spoken Tutorial Project is about teaching and learning a particular FOSS (Free and Open Source Software) like Linux, Scilab, LaTeX, PHP & MySQL, Java, C/C++, LibreOffice etc. via an easy Video tool - Spoken Tutorials. We are conducting several workshops in collaboration with Spoken Tutorial, IIT Bombay and also conduct spoken tutorial certification exam for student’s developmen... Read More
Common Courses
Specialized Courses
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Career Opportunities

Welcome to the department of Computer science and engineering (Artificial Intelligence and Machine learning). The adoption of artificial intelligence/ Machine Learning (AI/ML) is growing worldwide. Artificial Intelligence and Machine Learning has become one of the fastest-growing engineering streams due to the tremendous rise of computer intelligent systems and their integration into all aspects of our life. Whether it's a basic cell phone or a complex space shuttle, computing systems are present everywhere and play very important role in all aspects of our life.

AI attempts to artificially instill intelligence in robots by simulating human intellect. Machine learning (ML) is an AI application that aims to give machines the ability to learn on their own. AI and machine learning are key drivers of digital transformation and have resulted in a slew of new career opportunities. Engineers who are well versed in these technologies are in high demand.

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Dr. Uma P. Gurav


Dr. Uma P. Gurav


Intake : 120
To emerge as a leading department and establish competence in the field of computer science and engineering with specialization in the data science domain with focus to produce professionally and socially responsible engineers capable of working in a global environment.
To prepare Computer Science and Engineering in Data Science graduates to be industry ready, lifelong learners with competence in basic sciences & engineering and professional core, multidisciplinary areas, so that they can succeed in industry as an individual and as a team or to pursue higher studies.
To enable the graduates to use modern tools, to design and develop data science enabled products and also communicate effectively with professional ethics.
To collaborate with the data science industry through projects-based learning, internships enabling the students to explore, apply various directions of learning.


What our students say

What our students say

Department : Computer Science and Engineering
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