Mercer University

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 a quantitative field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant coursework in programming, calculus, and statistics.

About This Program

This online master's program equips students with advanced skills in programming and machine learning to tackle complex data-driven challenges across industries.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with machine learning expertise

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Analyst
• 4. Business Intelligence Analyst

What You'll Learn

• Apply machine learning algorithms to extract insights from large datasets
• Design and implement data pipelines for big data processing
• Perform advanced statistical modeling and predictive analytics
• Visualize complex data to communicate findings effectively

Curriculum Highlights

The 36-credit hour program covers foundations of data processing, algorithms, and intelligence, culminating in a professional capstone project.

Top Employers

Top employers include Google, Amazon, Microsoft, and financial firms like JPMorgan Chase.

Admissions

A bachelor's degree in a quantitative field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant coursework in programming, calculus, and statistics.

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 or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)