Bachelor of Science in Artificial Intelligence
Program Overview
The Bachelor of Science in Artificial Intelligence (AI) at COMSATS University Islamabad (CUI) is designed to provide students with a solid foundation in AI principles and applications. This comprehensive program integrates core knowledge areas, including mathematics, statistics, programming, and advanced AI topics such as machine learning, natural language processing, robotics, and computer vision. Through hands-on projects, lab work, and internships, students gain practical experience in designing, implementing, and testing AI systems, equipping them to address real-world challenges.
Students will embark on a structured learning journey starting with computer science fundamentals, progressing through specialized AI courses, and culminating in the opportunity to specialize in areas such as robotics, game development, and data analytics. This program also emphasizes ethical AI practices, preparing students to build AI solutions that are both impactful and socially responsible.
With a focus on producing AI professionals ready to contribute across diverse sectors, the BS in AI program at CUI encourages students to innovate, adapt, and lead in a rapidly evolving technological landscape.
Program Educational Objectives
The following are the PEOs for all computing programs being offered in the Department of Computer Science.
- PEO-1: Inculcate in-depth knowledge, analytical skills, and creativity in the computing domain.
- PEO-2: Attain the ability to adapt in an evolving technological environment, assimilate new information with a strong focus on entrepreneurship.
- PEO-3: Instill moral and ethical values, along with the ability to communicate effectively with the computing community.
- PEO-4: Train graduates to contribute towards knowledge economy and socio-economic growth of the country.
Graduate Attributes
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Graduate Attributes (GA)
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Description
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1
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Academic Education
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Completion of an accredited program of study designed to prepare graduates as computing professionals
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2
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Knowledge for Solving Computing Problems
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Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
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3
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Problem Analysis
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Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
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4
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Design/Development of Solutions
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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.
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5
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Modern Tool Usage
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Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
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6
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Individual and Teamwork
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Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
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7
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Communication
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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.
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8
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Computing Professionalism and Society
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Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
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9
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Ethics
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Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
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10
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Life-long Learning
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Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
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The Department of Computer Science at COMSATS University Islamabad, Wah Campus emphasizes key graduate attributes, such as Knowledge, Problem Solving, Creativity, Communication, Teamwork, and Lifelong Learning, to enhance employability. These attributes are integrated into the curriculum and aligned with national and international accreditation standards, including those of the National Computing Education Accreditation Council (NCEAC) and the Seoul Accord. CUI adopts NCEAC's Graduate Attributes without modifications, ensuring graduates possess the skills required to meet industry demands and succeed in their careers.
Entry Requirements
Students are eligible for admission if they have Intermediate or equivalent (‘A’ Level) with minimum 50% marks from accredited institution and *NTS-NAT test score with minimum 50% marks.
* Detailed information can be obtained from http://www.nts.org.pk
Scheme of Studies ( Link: https://cuonline.comsats.edu.pk/publicaccess/SearchSchemeofStudiesTentativePrintable.aspx?ProgramID=217&SessionID=49&DepartmentID=1 )
Career Prospects
Graduates of the BS in Artificial Intelligence program are well-positioned to pursue roles across a wide range of AI-focused fields, including machine learning, data science, robotics, natural language processing, and computer vision. Potential job titles include AI Engineer, Data Scientist, Machine Learning Specialist, Robotics Engineer, and AI Product Manager. The demand for AI professionals spans multiple industries, such as healthcare, finance, manufacturing, and technology. With AI's transformative impact on industries, graduates will find ample opportunities to leverage their skills in roles that promise robust career growth and development.
Contact Details
Dr. Kashif Ayyub
Email: kashifayyub@ciitwah.edu.pk
Phone # +92 51 4534200-02 Ext. 244