Seton Hall University

How this program compares

At an estimated $64.4K in total tuition, the MS in Data Science and Engineering sits about 52% above the $42.4K average for AI master's programs in our database — placing it in the 80th 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.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on MLOps/AI Engineering and Machine Learning. Most students complete it in about 1.5 years.

Estimated total tuition is $64.4K, above the $42.4K average for AI master's programs in our database and in the 80th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Lead as Data Scientist in Engineering AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $110,000.

Career Outcomes

Lead as Data Scientist in Engineering AI with machine learning expertise

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Engineer
• 4. Analytics Manager

What You'll Learn

• Design and implement machine learning models for predictive analysis and pattern recognition
• Process, manage, and analyze large-scale datasets using distributed computing platforms
• Communicate data insights effectively to technical and non-technical stakeholders
• Apply ethical and legal considerations in data handling and real-world engineering applications

Curriculum Highlights

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.

Top Employers

Top employers in data science and engineering include Google, Amazon, Microsoft, IBM, and major financial institutions such as JPMorgan Chase and Goldman Sachs.

Admissions

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.

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