GA

Master's in DS/DA
Online

Mercer University

MS in Data Science (Formerly Applied Data Intelligence and Machine Learning)

  • Macon
About This Program

This program equips students with advanced skills in machine learning and statistics to solve real-world problems and extract actionable knowledge from data.

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What You'll Learn

Students learn to proficiently use programming languages, machine learning software, and statistical tools while applying ethical principles to data analysis and communication.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 36-hour curriculum includes core requirements like foundations of programming and data mining, alongside advanced topics such as cloud computing and computer vision.
Typical Course Topics
1. Machine Learning Foundations 2. Data Mining and Modeling 3. Deep Learning 4. Big Data Analytics 5. Statistical Computing 6. Data Visualization and Analytics Tools
Program Specializations:
Machine Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative background. GRE is typically optional or not required for MS Data Science programs.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as Data Scientist in Cross-Industry AI with foundations of programming expertise

Estimated Industry Salary
Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Data Analyst 4. AI Specialist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and financial firms with data analytics needs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 21,930
Format
Online
Specializations
Machine Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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