Professional - Healthcare

A 6-course advanced program that mainly covers more complex topics within cybersecurity that requires a more analytical view that goes over all internet of things, database security, Robotics, and much more. This program is designed for students who have knowledge from previous levels.

Why Choose Louisville

Founded in 1798, the University of Louisville (UofL) is a vital ecosystem that creates thriving futures for students, community and beyond. Recognized by the Carnegie Foundation as both a Research 1 and a Community Engaged university, UofL is uniquely positioned to impact lives in areas of student success and research and innovation, while dynamic connections with local and global communities provide unparalleled opportunities. Through its approach to education, innovation and connection UofL is committed to shape a better future for all.

Admission Requirements

Applicants must be at least 18 years old.

Curriculum Details

Sample courses include:

Cloud Security
This course introduces you to cybersecurity for the cloud. Students will learn and apply classic security techniques to today’s cloud security problems. The course will start with a deceptively simple and secure web service and address the problems arising as we improve it. Students will learn how to analyze recent cloud security vulnerabilities using standard, systematic techniques. In this course, students will build their own web service case studies and construct security solutions for them.

Database Security
Provides an overview of fundamental concepts of databases security. These concepts include access control and data protection.

Internet of Things (IoT)
This module provides basic knowledge and understanding of fundamental concepts of Internet of Things (IoT). This includes: Overview of IoT that is required from design perspective, details of technical building blocks of IoT , concepts of machine learning and data analytics in IoT, communication and security challenges in IoT common industry use cases.

Post Quantum Cryptography
This module covers the foundational principles and techniques of quantum technology, including topics such as basic quantum mechanics; quantum information theory and quantum algorithms such as Grover’s search and Shor’s factoring; quantum error-correcting codes; and quantum computing applications such as quantum encryption and quantum key distribution. We will explore and discuss real world scenarios related to the understanding of quantum technologies, the participants will understand the opportunities and challenges presented by quantum technology and will have a hands-on experience with quantum computers and algorithms using IBM Q Experience quantum devices.

Risk Analysis
This module provides an overview of the fundamental techniques and approaches to identify, asses, and mitigate cybersecurity risk. Topics include identification of cybersecurity risks, assessment and mitigation approaches. This module will provide case studies related to cybersecurity risk analysis in the healthcare industry.

Robotics Process Automation Analysis
This module provides lectures and labs on the system architecture enabling robotics and common use cases for robotics in healthcare. Topics include: Distinguish the characteristics of operating systems enabling robotics; Distinguish the characteristics of operating systems enabling robotics; Common threats and cyber-attacks to robotic systems; The ethical issues related to the use of robotics and the need for cybersecurity to enable trust in robotic operations.

What You'll Learn

• Advanced knowledge on Databases
• Risk Analysis
• Internet of Things
• Cybersecurity Research
• Advanced Cryptography knowledge