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Admissions 2026 - 2027
BB.Sc (ARTIFICIAL INTELLIGENCE)
  • CEOA College Campus Building

    Overview

  • CEOA College Campus Building

    Duration

  • CEOA College Campus Building

    Eligibility Criteria

  • CEOA College Campus Building

    Career Scope

Overview

In the Bachelor's degree programme Computer Science with Artificial Intelligence, students acquire up-to-date knowledge about applied computing and the design of computer-based systems. Fundamental computer science modules include, for example, programming, software engineering, web technologies, database systems and big data, data visualization and human-computer interfaces. In addition, the programme covers central AI topics including computer vision, natural language understanding, expert systems, heuristic optimization, intelligent agents, machine learning and neural networks.

In addition, the students deal with ethical issues, data privacy and security problems associated with the use of information processing systems. They are able to work scientifically in teams and to transfer scientific results into professional practice as well as to communicate and present such results convincingly.

Duration

3-Years

Eligibility Criteria

  • To be eligible for a B.Sc in Computer Science, candidates generally need to meet the following criteria: Educational Qualifications: Completion of 10+2 or equivalent examination from a recognised board with a background in science, typically including subjects like Mathematics, Physics, and Chemistry.
  • Minimum Marks Required: Most institutions require a minimum aggregate score of 50-60% in the qualifying examination.
  • Age Limit: There is usually no specific age limit for this course, although some institutions may have age restrictions.

Career Scope

  • AI/ML Engineer: Design, build, and deploy AI models and intelligent systems.
  • Data Scientist: Analyze large datasets to find insights and build predictive models.
  • Research Scientist: Advance the field by developing new AI algorithms and techniques.
  • NLP Specialist: Focus on human-computer interaction, chatbots, and sentiment analysis.
  • Computer Vision Engineer: Work on facial recognition, autonomous vehicles, and image analysis.
  • Robotics Engineer: Develop robots for automation in various industries.
  • Business Intelligence (BI) Analyst: Use data to improve business efficiency and profitability.
  • AI Product Manager: Oversee the development of AI-powered products.
  • AI Ethics Consultant: Ensure AI systems are fair and responsible.
  • Technology: Software development, cybersecurity, big data.
  • Healthcare: Diagnostics, personalized medicine, medical robotics.
  • Finance: Fraud detection, algorithmic trading, FinTech.
  • E-commerce & Retail: Recommendation systems, supply chain optimization.
  • Education: Personalized learning, AI tutors