Master of Science in Internet of Things (IoT)

This program is designed to equip students with the knowledge and skills needed to design and manage IoT systems. Topics covered include:

  • IoT architecture and protocols
  • Sensor networks and data acquisition
  • Cloud computing and data analytics
  • Cybersecurity and privacy in IoT
  • Applications in smart cities, energy management, and agriculture

Bachelor of Science in Robotics

This program is designed for students who are interested in the design, development, and application of robots and autonomous systems. Topics covered include:

  • Robotics engineering and design
  • Sensors and actuators
  • Control systems and algorithms
  • Machine learning and artificial intelligence
  • Applications in healthcare, manufacturing, and transportation

Master of Science in Cybersecurity

This program is designed for individuals who wish to specialize in cybersecurity and information assurance. It covers a range of topics, including:

  • Security architecture and design
  • Threat analysis and risk management
  • Digital forensics and incident response
  • Cyber law and policy
  • Security governance and compliance

Master of Science in Data Science and Analytics

This program is designed to provide students with advanced knowledge and skills in data science and analytics. It covers a range of topics, including:

  • Data management and preprocessing
  • Statistical modeling and analysis
  • Machine learning and artificial intelligence
  • Data visualization and communication
  • Big data technologies and platforms

Bachelor of Science in Cybersecurity

This program is designed to prepare students for careers in cybersecurity and information assurance. It covers a range of topics, including:

  • Network security and cryptography
  • Cybersecurity risk management
  • Digital forensics and incident response
  • Ethical hacking and penetration testing
  • Security policies and compliance

Bachelor of Science in Artificial Intelligence and Machine Learning

This program is designed to equip students with the knowledge and skills needed to develop and apply artificial intelligence and machine learning solutions across a wide range of industries. Topics covered include:

  • Programming and algorithms
  • Data structures and analysis
  • Deep learning and neural networks
  • Computer vision and natural language processing
  • Ethics and regulation in AI