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B.Sc (Artificial Intelligence and Machine Learning)

B.Sc in Artificial Intelligence and Machine Learning provides a comprehensive foundation in AI and ML technologies, enabling students to develop intelligent systems and solve complex problems.

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3000+ students
  • Last updated 22/10/2024
  • Available English
  • Arts & Science Courses
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What you'll learn

The B.Sc in Artificial Intelligence and Machine Learning is a three-year undergraduate program designed to prepare students for the rapidly evolving fields of AI and machine learning. The curriculum focuses on core principles, algorithms, and applications of AI, equipping students with the skills necessary to build and deploy intelligent systems across various industries. Through a blend of theoretical knowledge and practical experience, students will explore data analysis, neural networks, natural language processing, and more. The program also emphasizes critical thinking, problem-solving, and innovation in developing AI solutions.

Key Highlights of the Program:

  • In-depth curriculum covering essential AI and ML topics.
  • Hands-on learning through projects, workshops, and labs.
  • Opportunities for internships and industry collaboration.
  • Exposure to real-world applications and case studies in AI.
  • Development of a strong analytical and programming skill set.

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Course Content

The program is structured over six semesters, covering core subjects, electives, and practical sessions.

Core Subjects:

  • Introduction to Artificial Intelligence
  • Programming for AI (Python, R)
  • Data Structures and Algorithms
  • Statistics and Probability for Data Science
  • Machine Learning Fundamentals
  • Neural Networks and Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Data Mining and Data Warehousing
  • Ethics in AI

Elective Subjects:

  • Robotics and Intelligent Systems
  • AI in Healthcare
  • Business Intelligence and Analytics
  • Reinforcement Learning
  • Cloud Computing for AI

Laboratory and Practical Sessions:

  • Programming Labs in Python and R
  • Machine Learning Model Development
  • AI Projects in Real-world Scenarios

Capstone Project focusing on AI Solution

Requirements

    To enroll in the B.Sc in Artificial Intelligence and Machine Learning program, candidates must meet the following criteria:

    1. Eligibility Criteria:
      • Completion of 10+2 education (or equivalent) with Mathematics and Computer Science as mandatory subjects.
      • A minimum percentage requirement, usually around 50-60%, depending on the institution.
    2. Entrance Exams:
      • Candidates may need to clear entrance exams specific to the institution or state-level examinations.
    3. Skills Required:
      • Strong analytical and mathematical skills.
      • Basic programming knowledge, preferably in Python.
      • A keen interest in data analysis and artificial intelligence.

B.Sc (Artificial Intelligence and Machine Learning): Careers and Opportunities

Career Options

      Graduates of the B.Sc in Artificial Intelligence and Machine Learning can pursue various career opportunities in diverse sectors:

      Job Roles:

      • AI/Machine Learning Engineer
      • Data Scientist
      • Data Analyst
      • Research Scientist in AI
      • Software Developer
      • Business Intelligence Analyst
      • Robotics Engineer
      • Natural Language Processing Engineer

      Industries:           

      • Information Technology and Software Development
      • Healthcare and Pharmaceuticals
      • Finance and Banking
      • E-commerce and Retail
      • Automotive and Smart Manufacturing
      • Telecommunications
      • Government and Defense
      • Education Technology

      Higher Education & Certifications:

      • Pursue M.Sc or M.Tech in AI, Data Science, or related fields for further specialization.
      • Obtain industry-recognized certifications in AI and machine learning from platforms such as Coursera, edX, or specific tech companies.

      With a solid foundation in AI and machine learning, graduates will be well-equipped to address complex challenges and contribute to innovations in technology across multiple industries.

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Course Available in 25 Colleges Nationwide

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