MasterOn-CampusFull-Time

Carnegie Mellon University

MS in Intelligent Information Systems

Pittsburgh, Pennsylvania1.5 $70K total tuition
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Est. Salary$140,000
Job Growth+23%
Top RoleNLP Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$70K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, Tech

Typical admitted student: A bachelor's degree with a minimum GPA of 3.0, preferably in computer science, statistics, or a related field, is required, along with evidence of undergraduate-level proficiency in programming and mathematics. GRE scores are optional, but strong quantitative preparation is essential.

About This Program

This professional degree focuses on processing and analyzing unstructured information, including text, image, video, speech, and audio data.

Career Outcomes

Lead as NLP Engineer in Cross-Industry AI with machine learning expertise

  • 1. AI Systems Engineer
  • 2. Machine Learning Engineer
  • 3. Information Systems Architect
  • 4. Data Intelligence Specialist

What You'll Learn

  • Develop and deploy AI-driven solutions for processing and analyzing large-scale information.
  • Apply machine learning and natural language processing to intelligent system design.
  • Engineer scalable information systems with robust data handling and retrieval capabilities.
  • Innovate AI applications for practical problems in information management and decision-making.

Curriculum Highlights

The structure features coursework in machine learning and language technologies, directed study projects, and a group-oriented capstone project.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and research organizations such as DARPA and national labs.

Admissions

A bachelor's degree with a minimum GPA of 3.0, preferably in computer science, statistics, or a related field, is required, along with evidence of undergraduate-level proficiency in programming and mathematics. GRE scores are optional, but strong quantitative preparation is essential.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)

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