Computer science is not considered a natural science, but rather a formal science. Natural sciences, such as biology, chemistry, and physics, study the natural world and its phenomena. In contrast, computer science focuses on the study of algorithms, data structures, and the design and analysis of computational systems. While computer science may draw on principles from mathematics and engineering, it is not classified as a natural science. **

Computer science is not typically considered a natural science, as it is more closely related to mathematics and engineering. Natural sciences typically focus on the study of the physical world and natural phenomena, while computer science deals with the design and use of computers and computational systems. However, computer science does have some overlap with natural sciences in areas like computational biology or environmental modeling. **

Computer science as a field is considered to be future-proof due to its ever-evolving nature and its relevance in various industries. A computer science degree provides a strong foundation in problem-solving, critical thinking, and technical skills that are highly sought after in today's digital world. With the increasing reliance on technology and the continuous advancements in the field, individuals with a computer science degree are likely to have a wide range of career opportunities and job security in the future. **

It is subjective to determine the "best" natural science as each field has its own unique contributions to our understanding of the natural world. Math provides the foundation for understanding and solving problems in all the other sciences. Physics explores the fundamental laws of nature and the behavior of matter and energy. Biology studies living organisms and their interactions with the environment. Chemistry focuses on the composition, structure, and properties of matter. Computer Science deals with the theory and practice of computation and information. Each of these sciences is valuable in its own right and contributes to our understanding of the world around us. **

Computer Science is a broad field that focuses on the theoretical foundations of computation and algorithms, as well as the design and development of software and hardware systems. On the other hand, Applied Computer Science is more focused on the practical application of computer science principles to solve real-world problems. Applied Computer Science often involves working on specific projects or applications, while Computer Science may involve more theoretical research and study. Additionally, Applied Computer Science may require a deeper understanding of specific industries or domains in order to effectively apply computer science concepts. **

Computer science is a broad field that focuses on the theoretical foundations of computation and information processing, including algorithms, data structures, and programming languages. On the other hand, applied computer science is more focused on the practical application of computer science principles to solve real-world problems. Applied computer science often involves working with specific technologies and tools to develop software applications, systems, or solutions for specific industries or domains. In summary, computer science is more theoretical and foundational, while applied computer science is more practical and focused on real-world applications. **

Specialized computer science refers to a focused area within the broader field of computer science, such as artificial intelligence, cybersecurity, or data science. It involves in-depth study and expertise in a specific aspect of computer science. On the other hand, computer science encompasses a wide range of topics including programming, algorithms, software development, and computer systems. It provides a comprehensive understanding of the principles and theories that underpin computing technology. In summary, specialized computer science delves into a specific area of expertise within the broader field of computer science. **

Computer science and engineering both require a strong foundation in math, but the level of difficulty may vary depending on the specific focus of the program. In computer science, the math requirements often include discrete mathematics, algorithms, and probability theory, which can be challenging for some students. On the other hand, engineering computer science may involve more applied mathematics, such as calculus, differential equations, and linear algebra, which can also be quite demanding. Ultimately, the level of difficulty in math will depend on the individual's strengths and interests in the specific areas of computer science or engineering. **