MasterOnlinePart-Time

Syracuse University

Online MS in Applied Data Science – AI

Syracuse, New York1 years$69K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.

How this program compares

At an estimated $68.5K in total tuition, the Online MS in Applied Data Science – AI sits about 61% above the $42.4K average for AI master's programs in our database — placing it in the 85th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000 AI Engineer
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$69K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Data Science & Intelligent Systems, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with quantitative background and programming experience.

About This Program

This online program blends technical data science skills with business insights to help professionals transform data into actionable strategic intelligence. Coursework concentrates on Data Science & Intelligent Systems and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $68.5K, above the $42.4K average for AI master's programs in our database and in the 85th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.

Career Outcomes

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

  • 1. Data Scientist
  • 2. AI/ML Engineer
  • 3. Data Analyst
  • 4. AI Consultant

What You'll Learn

  • Develop and deploy machine learning models for real-world data problems.
  • Apply AI techniques including deep learning and NLP to large datasets.
  • Analyze and visualize complex data using Python and R.
  • Design ethical AI solutions with governance and bias mitigation.

Curriculum Highlights

Core coursework includes data administration, quantitative reasoning, and applied machine learning, with elective options in natural language processing and deep learning.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.

Admissions

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

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
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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