Department of Computer Science and Engineering

Programmes Offered Under CSE Department

    • Intake : 120                                                                                                                 Fees : Rs. 1,35,000/-

      About the Programme:

      B. Tech. in Computer Science and Engineering Programme has emphasis on Digital Transformation Technologies. It is focused on building a strong foundation in mathematics and algorithms and includes sufficient depth of knowledge in Computer Science Engineering (CSE) for those interested in higher studies. B Tech in Computer Science and Engineering also offers adequate flexibility to students to pursue their own interests through Programme Verticals and Projects. It has a strong industry linkage to make students industry-ready. The Programme is also structured to achieve excellence in research in the various computing disciplines.

      Some of the highlights of the programme are:

      • Powered by a project based learning to create an environment to provide constructivism and collaborative learning.
      • Embedded with courses related to Programming, Machine Learning, Natural Language Processing, Artificial Intelligence and Internet of Things (IOT) and Information Security to make it more industry relevant.
      • Mandatory industry internship to give hands-on experience on real life projects

      Course Structure and Contents:

    • Intake : 60                                                                                                                 Fees : Rs. 1,35,000/-

      About the Programme:

      B. Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is an undergraduate programme that aims to strengthen the foundation of concepts related to recent advancements in Computer Science and Engineering, specifically machine learning and artificial intelligence. The programme is for students who want to acquire the ability to design intelligent solutions to problems in a variety of domains, business applications and fields such as natural language processing, text mining, robotics, reasoning and problem-solving.

      The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Machine learning and Artificial Intelligence find applications in almost every industry domain, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources and extract knowledge from bioinformatics data.

    • BTech_CSE_Curriculum_Structure_2023
    • SY AIML Syllabus
    • TY_AIML_BTech_Curriculum
    • structure _AIML
    • B. Tech AIML
    • M.Tech. in Artificial Intelligence & Data Science

      Intake : 18                                                                                                                 Fees : Rs. 1,00,000/-

      About the Programme:

      Artificial Intelligence and Data Science is advancement over traditional Computer Science and Engineering that aims to deliver data driven solutions using computational principles, methods and systems for extracting knowledge from data.

      M. Tech. in Artificial Intelligence and Data Science program covers concepts in data science and artificial intelligence and applied mathematics with an objective to prepare the students to analyze, design and implement solutions in various problem domains. The curriculum is designed to create strong foundations of data science and AI knowledge and usage of analytical methods and tools to solve challenging real-world problems. Students will gain thorough knowledge in courses like - Intelligent Systems, Deep Learning, Reinforcement Learning, Text Technologies for Data Science, Data Analytics and Mining, Big Data Management, Data Visualization, Bayesian Data Analysis, Probabilistic Modeling and Reasoning, Cloud Technologies etc.

      Course Structure and Contents:

    • Ph. D. in Computer Science and Engineering

    • List of Registered Phd. Scholars:
      Sr. No.
      Name of Student
      Area
      Name of Guide
      1
        Ms. Rahesha Yasin Mulla   Machine Learning   Dr. Archana M. Chougule
      2
        Mr. Sagar Baburao Patil   Machine Learning   Dr. Archana M. Chougule