B.Tech CSE in Ai & ML

Duration : 4 Yrs
Eligibility : Pass in 10+2 with minimum 50% (45% for “SC/ST/ Non Creamy Layer OBC/SBC”) marks in aggregate from CBSE/equivalent board along with Mathematics and Physics
Course Fee : 75000 INR per Year
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B.Tech CSE in Ai & ML

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B.Tech CSE in Ai & ML

The B.Tech. - Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning is a four-year full-time program at Dr. KN Modi University, Newai. The course offers specialisation in the demanding fields of artificial intelligence and machine learning. The course encompasses the perfect blend of theory and practical experience which makes one ready to ace the industry's demands

The B.Tech. – The CSE program focuses on the demanding topics of Deep Learning, Soft Computing, Text Analytics, Information Retrieval, and programming skills required which are essential to succeed in this field. Machine learning is a sought-after field and has become a central part of human lives. The AI and ML courses thus have a vast scope. Graduates can use their skills in the fields of Speech Recognition, Medical Diagnosis, Sentiment Analysis, Smart City Projects, Predictive Analysis, Recommendation systems, etc.

The DKNMU adopts a Choice Based Credit System (CBCS) that offers a credit exchange program to students. This lets them apply to international universities. The university pays special attention to each student providing them with an environment for overall student development. Taught by the best faculty who are qualified and experienced the students are handheld and are job-ready to prove their competence in the field.

Students are given the choice to select from several elective subjects from other streams. The university invites industry experts and gives them a platform to share their learning and experience with students. This gives our students a broad perspective of the industry and its real-world challenges.

The Department of Computer Science & Engineering with a Specialization in Artificial Intelligence & Machine Learning trains students to meet the ever-increasing social and technological challenges. It instils self-discipline, hard work and personality development helping students solve problems with a creative approach.

The CSE department at DKNMU boasts of state-of-the-art tech facilities which include a supercomputer and VMware Hypervisor. Students are taught through project-based learning and academic practices which lets them bag some of the best jobs in the industry. The course is also apt if you wish to pursue a higher education or want to hone your entrepreneurship skills. The university has strong partnerships with brands like Cisco, Dell, IBM, Microsoft, and Oracle to name a few. The undergraduates can opt for internships in these companies. The university also has placed deserving candidates in the top Fortune 100+ companies.

The curriculum imparts in-depth knowledge to students on the fundamental and practical concepts. Students are also introduced to application-oriented technologies in AI and ML. The students can take up lucrative jobs or study further after completing the course.

The course also lets students explore ML and AI applications in domains like finance, security, transportation, healthcare, energy management, agriculture/food processing, population studies, weather prediction, predictive maintenance, smart manufacturing, education, human and robot interaction /intelligent automation, smart city, drug discovery, and aid for differently-abled/accessibility technology.

As per the report published by Gartner, AI and ML will stay in demand and be among the top workloads to drive infrastructure decisions. The AI software revenue is forecasted to increase and there will be 97 million jobs created by the year 2025 in this field.

The 4-year CSE program is designed to nurture students to make them skilled professionals who can land lucrative AI-ML jobs and bag national and international placements.


If you wish to seek admission to any of the courses at Dr. KN Modi University, Newai then ensure to follow all the eligibility criteria for your course of choice. Failing this your application may get rejected. If you have any queries regarding the eligibility criterion then reach out to us at info@dknmu.org and we will assist you with any query that you may have.