NJ

Master's in Cybersecurity, Master's in DS/DA
On-Campus, Online

Seton Hall University

Seton Hall University

  • South Orange
About This Program

This master’s program equips students with the hands-on skills and engineering principles required to become professionals in the fields of data science and analytics.

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What You'll Learn

Students learn to solve data-driven problems using machine learning, neural networks, and cloud computing while mastering tools like Python, R, and AWS for data visualization.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit curriculum features core courses in data mining, big data analytics, and statistics, concluding with a two-semester capstone project or research thesis.
Typical Course Topics
1. Machine Learning 2. Statistics and Probability 3. Data Management and Processing 4. Big Data Technologies 5. Data Visualization and Communication 6. Programming and Tools (Python, R)
Program Specializations:
MLOps/AI Engineering
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree with prerequisite coursework in mathematics, statistics, probability, and computer programming.[1] The program requires GRE scores and typically seeks candidates with quantitative backgrounds and familiarity with computer science concepts.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: 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

Lead as Data Scientist in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Scientist: $105,000 Data Engineer: $115,000 Machine Learning Engineer: $120,000 Analytics Manager: $110,000
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 Engineer 4. Analytics Manager
Top AI Employers (Industry-Wide):
Top employers in data science and engineering include Google, Amazon, Microsoft, IBM, and major financial institutions such as JPMorgan Chase and Goldman Sachs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 64,440
Format
On-Campus, Online
Specializations
MLOps/AI Engineering
Machine Learning
Official Resources
Program Website
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