Third Optional Subject (TOS) in 12th : Chemistry / Computer Science / Electronics/ Information Technology / Biology / Informatics Practices / Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship
Program Overview
B.Tech in Computer Science and Engineering - Artificial Intelligence is a four-year undergraduate program that prepares students for challenging roles in AI-led industries.
The program creates skilled professionals who are capable of designing intelligent systems and leveraging AI technologies to solve real-world challenges. Students study foundational subjects of AI such as statistics, discrete mathematics, and probability. As they progress, they learn more advanced areas such as machine learning, deep learning, natural language processing, and computer vision. Practical exposure through hands-on projects and industry internships enhances their problem-solving abilities and innovation skills.
Graduates of the B.Tech CSE - AI program from one of the top engineering colleges in Indore have exciting career prospects in AI-driven fields as big data engineers, machine learning engineer, AI data analyst, or AI engineer.
Indian Administrative Officer in Ministry of information broadcasting, New Delhi
Mr. Ankur Lahoty
Proud to see that a sapling (MITM) has grown to a banyan tree (Medicaps University). I am grateful t...
Dinesh Kumar Amresh
In better times, I loved being at Medicaps. I often find myself simultaneously grieving and grateful...
Deepak Pathak
I am happy that I was a student at MITM. we studied & had a lot of fun in our college days..
Amit Makhijani
My four years of engineering at Medicaps University have been outstanding and a memory to treasure f...
Romesh Jadia
There is no elevator to success, you have to take the stairs" but it's important which is the right ...
Alok Vijayvergiya
Ankur Lahoti
Admissions
Admissions
Scholarship
MU-SAT/MLAT
Fee Refund Policy
Faq's
Topics include Neural Networks, Natural Language Processing, Computer Vision, Deep Learning, Robotics, and Expert Systems.
The AI specialization is built on core computer science fundamentals like programming, algorithms, and data structures, combined with advanced AI techniques and tools.
Graduates can pursue roles such as AI Engineer, Machine Learning Specialist, Data Scientist, and AI Research Scientist in sectors like healthcare, finance, and technology.
Yes, students will gain hands-on experience with AI tools like TensorFlow, Keras, PyTorch, and Scikit-learn.
Yes, students can engage in research projects under faculty guidance and participate in AI-related research conferences and workshops.
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