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B.Sc (Artificial Intelligence and data science)

B.Sc in Artificial Intelligence and Data Science provides students with a comprehensive understanding of AI principles, data analytics, and machine learning, preparing them for innovative careers in technology.

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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 Data Science is designed to equip students with essential skills to analyze data, build intelligent systems, and solve complex problems using AI technologies. This three-year program integrates theoretical knowledge with practical applications, covering core topics such as programming, machine learning, statistical analysis, and data visualization. Through hands-on projects, internships, and exposure to industry tools, students develop a robust foundation for thriving in the rapidly evolving field of AI and data science.

Key Highlights of the Program:

  • Comprehensive curriculum blending AI, data science, and mathematics.
  • Hands-on learning through projects, internships, and workshops.
  • Opportunities for research and collaboration with industry partners.
  • Access to the latest tools and technologies in AI and data analytics.
  • Strong focus on developing problem-solving and analytical skills.

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Course Content

The curriculum for the B.Sc in Artificial Intelligence and Data Science is structured over six semesters, covering a wide range of topics.

Core Subjects:

  • Introduction to Artificial Intelligence
  • Programming Languages (Python, R)
  • Data Structures and Algorithms
  • Statistics for Data Science
  • Machine Learning
  • Data Mining
  • Database Management Systems
  • Data Visualization
  • Natural Language Processing
  • Big Data Analytics

Electives and Specializations:

  • Deep Learning
  • Internet of Things (IoT) and AI
  • Robotics
  • Ethical AI
  • Business Intelligence

Laboratory and Practical Sessions:

  • AI and Machine Learning Labs
  • Data Analysis and Visualization Labs
  • Programming and Software Development Projects
  • Capstone Projects in the final year focused on real-world applications

Requirements

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

    1. Eligibility Criteria:
      • Completion of 10+2 (or equivalent) education with Physics, Mathematics, and Computer Science as mandatory subjects.
      • Minimum aggregate marks as specified by the institution, typically around 50-60%.
    2. Entrance Exams:
      • Candidates may need to clear relevant entrance exams or university-specific tests for admission.
    3. Skills Required:
      • Strong analytical and problem-solving skills.
      • Interest in programming and data analytics.
      • Basic knowledge of mathematics and statistics.

B.Sc (Artificial Intelligence and data science): Careers and Opportunities

Career Options

      Graduates of the B.Sc in Artificial Intelligence and Data Science have a wide range of career opportunities across various industries:

      Job Roles:     

      • Data Scientist
      • AI Engineer
      • Machine Learning Engineer
      • Data Analyst
      • Business Intelligence Analyst
      • Research Scientist in AI
      • Data Engineer
      • Statistician
      • Software Developer

      Industries:

      • Information Technology (IT) and Software Development
      • Healthcare and Pharmaceuticals
      • Financial Services and Banking
      • E-commerce and Retail
      • Telecommunications
      • Government and Defense
      • Education and Research
      • Media and Entertainment

      Higher Education & Certifications:

      • Pursue a Master's degree (M.Sc or M.Tech) in Data Science, AI, or related fields for further specialization.
      • Obtain certifications in data science, machine learning, or AI from recognized platforms to enhance career prospects.

      With a strong foundation in artificial intelligence and data science, graduates are well-prepared to tackle complex challenges and drive innovation in the tech industry.

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