Data Science in information technology is a discipline that combines concepts and techniques from statistics, mathematics, and computer science to extract knowledge and insights from big data. This field focuses on data collection, processing, and analysis to uncover patterns and trends that aid in making better decisions in various fields such as business, healthcare, and science. Data Science uses algorithms and techniques such as machine learning, data mining, and data analysis to create predictive models and solutions for complex problems. Understanding of mathematics, statistics, programming, and artificial intelligence is the main focus in this field of study.

Software Engineering in information technology deals with the development, design, and testing of software using a structured and systematic approach. This field includes various techniques and methodologies such as Agile, Waterfall, and DevOps to produce high-quality software products that meet user requirements. Software Engineering also involves software project management, software maintenance, and documentation. Understanding programming, software design, project management, and problem-solving are the main focuses of this field. Software Engineering is used in various applications such as information systems, mobile applications, and business software.

Multimedia in information technology deals with the use of images, sound, and video in the context of computers. This field encompasses various techniques and methods such as computer graphics, animation, sound design, and video processing. Multimedia is used in various applications such as graphic design, film making, gaming, and animation. Understanding programming, graphic design, and media processing are the main focus of this field. Additionally, multimedia also pays attention to issues of security and copyright in media usage.

Computer Vision in information technology discusses the development of algorithms and techniques to enable computers to see and understand the visual world like humans. This group of disciplines includes various techniques such as image segmentation, object detection, pattern recognition, and image analysis. Computer Vision is used in various applications such as facial recognition, self-driving vehicles, and medical image classification. Understanding mathematics, statistics, signal processing, and programming is the main focus of this group of disciplines. Additionally, Computer Vision also addresses ethical and privacy issues in visual data processing.

Internet of Things (IoT) in information technology deals with the development of internet-connected systems to collect, process, and exchange data with other devices. This field includes various technologies such as sensors, wireless networks, and cloud technology to connect these devices. IoT is used in various applications such as smart homes, smart cities, and smart manufacturing. Understanding of computer networks, programming, and wireless technology is the main focus in this field of study. Additionally, IoT also pays attention to privacy and security issues in data collection and processing.

Network and Security in information technology deals with the development, management, and security of computer networks. This field covers various technologies such as network protocols, network infrastructure, firewalls, encryption, and identification and authentication technologies. Network and Security is used in various applications such as banking systems, e-commerce, and telecommunications. Understanding of computer networks, programming, and information security is the main focus in this field. Additionally, Network and Security also considers issues of privacy, legality, and regulations in managing and securing data.

Intelligent Systems in information technology discusses the development and implementation of systems that can mimic human abilities in performing tasks that require understanding, problem-solving, and decision-making. This field includes various technologies such as machine learning, artificial intelligence, and neural networks. Intelligent Systems are used in various applications such as industrial automation, speech and text recognition, and robotics. Understanding of mathematics, statistics, logic, and programming is the main focus of this field. In addition, Intelligent Systems also address ethical issues in the use of AI and machine learning technologies.