Carnegie Mellon University

USA
4 Scholarships 84 Programs 3 Degree levels

Artificial Intelligence Engineering - Information Security

FieldM.S. AI Engineering (InfoSec)
Duration1 year
Tuition60300.00

Overview

A Master’s programme that combines AI engineering with information security, privacy, and trustworthy system design. You’ll learn how to build and evaluate AI systems with security and ethical safeguards from day one.

About this programme

Overview

The Master’s programme in Artificial Intelligence Engineering with a focus on Information Security at Carnegie Mellon University is designed to equip students with the skills necessary to develop AI systems that prioritize security, privacy, and ethical considerations. This programme provides a comprehensive understanding of AI engineering while addressing the challenges of trustworthy system design, preparing graduates for the demands of the modern technological landscape.

What You'll Study

The curriculum is structured around core coursework that establishes a strong foundation in AI engineering, followed by specialized studies in security and privacy. Key areas of focus include:

  • Systems and Tool Chains for AI Engineering
  • Trustworthy and Ethical AI Engineering
  • AI Applications in Information Security
  • Machine Learning and Artificial Intelligence for Engineers
  • AI in Business Modeling

Students also have the opportunity to engage in:

  • Applied Study Option: Undertake a project that applies theoretical knowledge to real-world challenges, facilitating the transition from academia to industry.
  • Advanced Study Option: Conduct in-depth research or development in a specific area of interest, showcasing specialized expertise.

Entry Requirements

  • Academic Background: A recognized undergraduate degree.
  • Minimum GPA: A cumulative GPA of 3.0 or higher on a 4-point scale.
  • English Language Proficiency: For non-native speakers, submission of standardized test scores such as TOEFL, IELTS, or Duolingo English Test, reported through official channels.
  • Technical Preparation: A solid technical background or prior academic exposure relevant to your field of study.
  • Skills: Proficiency in quantitative analysis, programming, and analytical thinking.
  • Communication: Strong interpersonal and communication skills are essential for success in the programme.

Note: Specific application deadlines and required documents, such as CVs, transcripts, letters of recommendation, and statements of purpose, are not detailed in the current record.

Career Prospects

Graduates of this programme will be well-prepared for various roles in the rapidly evolving fields of artificial intelligence and information security. Potential career paths include positions in cybersecurity, AI system development, data analysis, and information assurance, among others. The skills acquired will enable professionals to navigate the complexities of AI technologies while ensuring ethical practices and security measures are in place.

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Programme details are indicative and may change — always verify current information with the official university website before applying.