Current Trends in Computer Science and IT
Earn college credit with Current Trends in Computer Science and Information—a self-paced online course exploring modern computing topics like emerging technologies, data, security, ethics, and how digital systems shape society. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Great for intro credit, with transcript options.
UPI Study offers 70+ affordable online college courses Business, Computer Science, Natural Sciences, Psychology, English, Math & More. Earn transferable college credit through UPI Study for elective or primary requirements.
Over 48750 students have already transferred credits to over 1750 universities till 2026 via ACE & NCCRS Credit Accreditation.
Upon the successful completion of this course, students will be able to: analyze the role and impact of IT leadership in modern organizational structures and processes; develop effective strategies for utilizing specialized information systems, including Decision Support Systems and Management Information Systems to enhance business decision-making; design and implement database systems, understanding the intricacies of data types, relational databases, and SQL; evaluate the stages of the systems development life cycle and apply best practices in software development and project management within organizational contexts; interpret and leverage data through sophisticated data science techniques, utilizing big data analytics and data visualization tools to derive actionable insights; construct and manage applications in various sectors such as healthcare, automotive, and urban development; assess the ethical, economic, and social implications of emerging technologies, particularly focusing on privacy, intellectual property, and the global impact of technology on employment and commerce; synthesize knowledge of Artificial Intelligence (AI) and Machine Learning to solve complex problems and improve operational efficiencies across multiple domains; critically evaluate the security measures and ethical considerations in blockchain technology and its applications in digital transactions and cryptocurrencies; and create strategies for managing technology solutions that address real-world business challenges and opportunities.
Learn more about Current Trends in Computer Science and IT
Learning Outcomes
Upon the successful completion of this course, students will be able to: analyze the role and impact of IT leadership in modern organizational structures and processes; develop effective strategies for utilizing specialized information systems, including Decision Support Systems and Management Information Systems to enhance business decision-making; design and implement database systems, understanding the intricacies of data types, relational databases, and SQL; evaluate the stages of the systems development life cycle and apply best practices in software development and project management within organizational contexts; interpret and leverage data through sophisticated data science techniques, utilizing big data analytics and data visualization tools to derive actionable insights; construct and manage applications in various sectors such as healthcare, automotive, and urban development; assess the ethical, economic, and social implications of emerging technologies, particularly focusing on privacy, intellectual property, and the global impact of technology on employment and commerce; synthesize knowledge of Artificial Intelligence (AI) and Machine Learning to solve complex problems and improve operational efficiencies across multiple domains; critically evaluate the security measures and ethical considerations in blockchain technology and its applications in digital transactions and cryptocurrencies; and create strategies for managing technology solutions that address real-world business challenges and opportunities.
Major Course Topics
Major topics include current trends in Computer Science and IT; application design and development; database design and management; data science and analytics; techniques and trends in data visualization; Artificial Intelligence overview; machine learning overview; Internet of Things (IoT) overview; Blockchain technology data structures; and Blockchain technology.


