Pimpri Chinchwad University [PCU], Pune

Pimpri Chinchwad University [PCU], Pune

Pune , Maharashtra
|
4.2 Ratings
|
Private|Estd. 2023

B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Lateral Entry)

About the Program

The B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) – Lateral Entry program is designed for diploma holders and eligible science graduates to directly enter the second year of the B.Tech. program. The course focuses on intelligent systems, data-driven decision-making, and advanced computing technologies, preparing students for careers in AI, machine learning, and related fields.

Duration & Mode

  • Duration: 3 Years

  • Mode: Full-time

  • Entry Level: Direct admission to Second Year (Third Semester)

  • Structure: 6 Semesters

Eligibility Criteria

  • Passed Diploma in Engineering / Technology in a relevant discipline
    OR

  • Passed B.Sc. Degree with Mathematics as a compulsory subject

  • Minimum 45% marks for General category and 40% marks for Reserved category

  • Must satisfy lateral entry admission norms of the university and government

  • Admission based on merit or lateral entry entrance examination, as applicable

Curriculum Structure (Indicative)

Second Year

  • Engineering Mathematics

  • Data Structures and Algorithms

  • Object-Oriented Programming

  • Digital Logic Design

  • Computer Organization and Architecture

  • Operating Systems

  • Database Management Systems

  • Practical Laboratories

Third Year

  • Artificial Intelligence

  • Machine Learning

  • Probability and Statistics for AI

  • Data Mining and Data Analytics

  • Computer Networks

  • Software Engineering

  • Professional Electives

  • Mini Project

Final Year

  • Deep Learning

  • Natural Language Processing

  • Computer Vision

  • Big Data Analytics

  • Cloud Computing

  • Ethics in Artificial Intelligence

  • Industrial Training / Internship

  • Major Project

Skills You Will Gain

  • Programming for AI and ML applications

  • Data analysis and model development

  • Machine learning and deep learning techniques

  • Intelligent system design

  • Problem-solving and analytical thinking

  • Project development and research skills

Career Opportunities

Graduates can work as:

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • Data Analyst

  • Computer Vision Engineer

  • NLP Engineer

  • AI Research Assistant

  • Software Engineer

Graduates may also pursue M.Tech., M.S., MBA, or higher studies in AI, data science, and computer science.

Employment Areas

  • Artificial Intelligence and Machine Learning Companies

  • IT and Software Development Firms

  • Data Analytics and Research Organizations

  • Healthcare, Finance, and Automation Industries

  • Startups and Technology Enterprises

Program Highlights

  • Direct entry into the second year of the B.Tech. program

  • Specialized curriculum focused on AI and ML

  • Strong emphasis on practical labs and projects

  • Industry-oriented electives and internships

  • Excellent foundation for advanced studies and research

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