MasterOnlinePart-Time

Southern Methodist University

M.S. in Data Science - Machine Learning

Dallas, Texas2 years$38K total tuition
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Est. Salary$130,000
Job Growth+36%
Top RoleData Scientist
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$38K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Machine Learning

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: 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+)

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