Southern Methodist University
M.S. in Data Science - Machine Learning
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 linear algebra. Work experience in data-related roles or programming proficiency is often preferred.
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.
Career Outcomes
Position as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Scientist
- 4. Predictive Analytics Specialist
What You'll Learn
- Build and evaluate supervised and unsupervised machine learning models for real-world data problems.
- Apply deep learning techniques to image recognition, NLP, and sequential data analysis.
- Process and analyze large-scale datasets using big data tools like Spark and Hadoop.
- Develop predictive analytics solutions integrating statistics, algorithms, and domain knowledge.
Curriculum Highlights
The interdisciplinary curriculum includes core credits in statistics and programming with a specialization in machine learning, covering deep learning and natural language processing.
Top Employers
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.
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 linear algebra. Work experience in data-related roles or programming proficiency is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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