Program Overview
The main purpose of CUI’s BS Artificial Intelligence is to provide students with a comprehensive understanding of the theories, methods, and techniques used in the field of artificial intelligence. The program includes courses on mathematics, statistics, programming, and machine learning, as well as more specialized topics such as natural language processing, computer vision, robotics, and data ethics. The program also include practical experience in designing, implementing, and testing AI systems, such as through capstone projects or internships. In addition, students have opportunities to engage in AI algorithm development, either through coursework or lab work.
The CUI’s BS Artificial Intelligence program is for the mathematically adept student who wishes to become a computing professional with knowledge of relevant applications areas. The degree path starts from the Fundamentals of computer science and programming, including data structures, algorithms, and software development. It also includes Mathematics and statistics, including calculus, linear algebra, and probability theory, that are essential for understanding the theoretical foundations of AI. It then emphasizes on problem solving using Core AI concepts and techniques, such as search algorithms, machine learning, natural language processing, and computer vision. It also focuses on Specialization areas that allow students to focus on specific applications of AI, such as robotics, game development, data analytics, or intelligent systems.
The overall goal of an AI degree program is to prepare graduates for a range of careers in the field of AI, including as AI engineers, data scientists, machine learning specialists, AI researchers, or AI product managers. Additionally, the program is designed to provide students with the knowledge and skills to apply AI to a wide range of domains, such as healthcare, finance, transportation, and education.
Students take a core of computer science courses that provide a solid foundation for advanced work. Building on this base, students explore a variety of specializations from 6th semester onwards. In addition, students develop a broad appreciation for computer applications and the effects of computers on society via program electives, general education courses, and various free electives, which can be used to complete minors.
It is a four years program consisting of eight semesters. The maximum duration for completion of this degree is twelve semesters. The degree is awarded on completion of minimum 133 credit hours, including six credits for the project, with a passing CGPA of at least 2.0/4.0.
The focus of the Artificial Intelligence program is to equip students with the skills and knowledge required to design, develop, and deploy AI-based solutions in a wide range of industries. The program also aims to foster ethical and responsible AI practices, designing and developing AI applications that can automate tasks, augment human capabilities, support decision-making, and prepare students to be leaders in the rapidly evolving landscape of AI. Ultimately, the mission of Artificial Intelligence program is to contribute to the advancement of AI technology and its responsible use for the benefit of society.
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
The Department of Computer Science at COMSATS University Islamabad (CUI) 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.
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Graduate
Attributes (GA)
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Description
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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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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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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
Career Prospects
Graduates with an Artificial Intelligence (AI) degree can pursue various career paths, including roles in machine learning, data science, robotics, natural language processing, computer vision, and other AI-related fields. Potential job titles include: Machine Learning Engineer, Data Scientist, AI Research Scientist, Natural Language Processing Engineer, Robotics Engineer, AI Product Manager, AI Consultant, Software Developer, Business Intelligence Developer, Data Analyst. AI degree holders can work in a variety of industries, including healthcare, finance, e-commerce, manufacturing, and technology. The job outlook for AI professionals is strong, with demand expected to grow as AI continues to transform industries and organizations. The demand for professionals with AI skills is expected to grow in the coming years, making it a promising career path.
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