Affiliation and Approvals

Duration: 4 years (8 semesters)

EPCET is affiliated to VTU, Belagavi, approved by AICTE & Recognized by Government of Karnataka

Course Overview

  • Comprehensive Curriculum: VTU curriculum is designed to provide students with a strong foundation in AI and machine learning, covering essential topics such as mathematical foundations, data preprocessing, algorithm design, and deep learning.

  • Practical Hands-on Experience: We believe in learning by doing. Our program emphasizes practical skills development through hands-on projects, industry collaborations, and internships. Students gain real-world experience in designing and implementing AI and machine learning solutions.

  • State-of-the-Art Facilities: Our department is equipped with state-of-the-art labs and computing resources to support advanced research and development. Students have access to high-performance computing clusters, specialized hardware for deep learning, and cutting-edge software tools.

  • Expert Faculty: Our faculty consists of experienced professionals and renowned researchers in the field of AI and machine learning. They bring their expertise and industry insights to the classroom, mentoring students and guiding them towards success.

  • Industry Partnerships: We have strong collaborations with leading industry partners, providing students with opportunities for internships, guest lectures, and industry-sponsored projects. These partnerships ensure that our curriculum remains relevant and aligned with industry demands.

  • Research Opportunities: Our department fosters a culture of innovation and research. Students have the opportunity to engage in cutting-edge research projects, contributing to advancements in AI and machine learning. They can also collaborate with faculty on research papers and publications.

  • Career Development Support: We prioritize the career development of our students. Through dedicated career services, workshops, and networking events, we help students connect with industry professionals, explore job opportunities, and prepare for successful careers in AI and machine learning engineering.

Eligibility For Admission

a) Second year Pre-University or XII standard or equivalent examination recognized by the University (with min 45% in Physics and Mathematics as compulsory subjects, along with any one of the following subjects, namely, Chemistry, Bio-Technology, Computer Science, Biology and Electronics)

b) Admission to II year/ III semester Bachelor Degree in Engineering/ Technology (Lateral Entry) shall be open to the candidates who are holders of a diploma or equivalent qualification as recognized by university.

Skills Acquired after Graduation

  • Machine Learning Algorithms

  • Deep Learning

  • Programming Languages

  • Data Preprocessing and Feature Engineering

  • Statistical Analysis and Probability

  • Data Visualization

  • Natural Language Processing (NLP)

  • Optimization Techniques

  • Data Ethics and Bias

  • Communication and Collaboration

  • Problem-Solving and Critical Thinking

  • Lifelong Learning

Employment Scope

  • Machine Learning Engineer

  • Data Scientist

  • AI Engineer

  • Research Scientist

  • Data Engineer

  • AI Consultant

  • Data Analyst

  • AI Product Manager

  • AI Ethicist

  • AI Entrepreneur