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BS in Artificial Intelligence


The BS in Artificial Intelligence, offered by the Computer Science Department, equips the students with an in-depth knowledge about how to transform large and complex scenarios into actionable decisions. The program and its curriculum focus on how complex inputs such as knowledge, vision, language and huge databases can be used to make decisions to enhance human capabilities. The curriculum of this program includes coursework in computing, mathematics, automated reasoning, statistics, computational modeling, introduction to classical artificial intelligence languages and case studies, knowledge representation and reasoning, artificial neural networks, vision and symbolic computation. The program also encourages students to take courses in ethics and social responsibility, with the opportunity to participate in long term projects in which artificial intelligence can be applied to solve problems that can change the world for the better in areas like agriculture, defense, healthcare, governance, transportation, e-commerce, finance and education.

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Program Learning Outcomes (PLOs) 

This program prepares students to attain educational objectives by ensuring that students demonstrate achievement of the following outcomes:


  1. Academic Education To prepare graduates as computing professionals.

  2. Knowledge for Solving Computing Problems Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the 16 abstraction and conceptualization of computing models from defined problems and requirements

  3. Problem Analysis Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines

  4. Design/ Development of Solutions Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

  5. Modern Tool Usage Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations

  6. Individual and Team Work Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.

  7. Communication Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

  8. Computing Professionalism and Society Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

  9. Ethics Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

  10. Life-long Learning Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Program Educational Objectives (PEO) 

  • Knowledge of the fundamentals of Computing and Artificial Intelligence: Our graduates will be proficient in the fundamentals of computing and artificial intelligence knowledge and will be read to apply that in professional roles in industry, academia, or a startup.

  • Ethical and Societal Responsibilities: Our graduates will be able to work professionally with dignity and integrity by taking into account the ethical and social concerns.

  • Communication Skills: Our graduates will possess effective oral and verbal communication ability in technical and managerial roles.

  • Leadership: Our graduates will excel in a leadership capacity within a team or in a business setting.

  • Continuous Improvement: Our graduates will be able to explore newly emerging fields in computing and artificial intelligence for her job role or academic purposes.

Entry Criteria 

50% marks in HSSC / Equivalent.

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