University of Nebraska–Lincoln

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and coursework in data structures or linear algebra are often preferred.

About This Program

Designed for computing professionals, this program provides a deep dive into AI technologies to drive innovation across diverse industry sectors.

Career Outcomes

Gain machine learning skills to advance as NLP Engineer in Cross-Industry AI

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist (AI focus)
• 4. AI Research Analyst

What You'll Learn

• Core AI algorithms and search techniques for problem-solving
• Building and training machine learning models on real datasets
• Designing deep neural networks for image and language tasks
• Applying ethical principles to AI system development and deployment

Curriculum Highlights

The coursework includes required topics in artificial intelligence, with electives in data mining, multiagent systems, and intelligent information retrieval.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and coursework in data structures or linear algebra are often preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)