TX

Master's in ML
Online

Southern Methodist University

M.S. in Data Science – Machine Learning

  • Dallas
About This Program

An online master’s program designed for professionals to gain advanced skills in managing, analyzing, and mining complex data to make strategic, data-driven decisions.

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What You'll Learn

Students master machine learning techniques, big data processing, statistical analysis, and text mining while developing the communication skills needed to present results to stakeholders.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The interdisciplinary curriculum includes core credits in statistics and programming with a specialization in machine learning, covering deep learning and natural language processing.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning 3. Statistical Learning and Data Mining 4. Big Data Analytics 5. Predictive Modeling 6. Natural Language Processing
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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 linear algebra. Work experience in data-related roles or programming proficiency is often preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional or Not Required
• 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

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

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Predictive Analytics Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as finance firms, healthcare organizations, and consulting companies specializing in AI and data solutions.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 37,855
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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