University of Tennessee, Knoxville

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, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra and probability.

About This Program

This master's concentration focuses on the theory and practical application of data mining and intelligent systems within the broader field of computer science.

Career Outcomes

Thrive as Data Scientist in Cross-Industry AI with identifying patterns expertise

• 1. Data Mining Engineer
• 2. Data Analyst
• 3. Machine Learning Specialist
• 4. Information Systems Architect

What You'll Learn

• Advanced data mining techniques for pattern discovery in large datasets
• Design and implementation of scalable information systems
• Machine learning models for predictive analytics and classification
• Data preprocessing, visualization, and knowledge extraction methods

Curriculum Highlights

The curriculum requires 30 graduate credit hours, featuring core computer science courses alongside specialized focus areas in data mining and intelligent systems.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as government agencies and financial firms with data analytics needs.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra and probability.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)