*Applicants who apply by the early submit deadline and are admitted may be eligible for a $250 deposit waiver. Applicants who receive education assistance from employers or other tuition discounts are not eligible. Other eligibility conditions may apply.
Online Program Comparison
Learn more about the difference between the computer science, data science, and business intelligence and analytics programs.
Ranked No. 8 among the Best Online Master’s in Computer Information Technology Programs in 2022 by U.S. News & World Report, the Online Master of Science in Computer Science (MSCS) at Stevens offers you a curriculum aligned with high-demand areas such as software development, web programming, mobile systems and applications, cloud computing, human-computer interaction and enterprise software design.
- 10 courses, 30 credits, less than 2 years to complete*
- Bachelor of Science required
- Minimum 3.0 GPA
- Some programming experience, passion for problem-solving and a drive to innovate for technological progress
- Many graduates have gone on to work as computer systems analysts, programmers, database administrators, software developers, software quality assurance testers, and web developers
Learn how to transform big data into business decisions with our Online Master of Science in Data Science (MSDS). Our MSDS offers you a curriculum aligned with high-demand areas. Students will develop skills to become data scientists who can make informed decisions using Python, R, SQL, Hadoop, Hive, TensorFlow, machine learning, deep learning, predictive modeling and more.
- 10 courses, 30 credits, less than 2 years to complete*
- Bachelor of Science degree with more than one year of mathematics coursework (including calculus) required
- Minimum 3.0 GPA
- Some programming experience
- Many graduates have gone on to work as data scientists, data analysts, statisticians, network engineers, AI research scientists, and data analytics specialists
The Online Master of Science in Business Analytics (MSBI&A) trains students to solve business problems with insightful, evidence-based solutions. Our highly technical curriculum includes courses on machine learning, web mining, marketing analytics and big data technologies, including Hadoop and Hbase.
- 12 courses, 36 credits, 2 years to complete*
- Prerequisites: Bachelor's degree in science, mathematics, computer science, engineering or a related discipline, with at least one semester of calculus and one semester of basic probability, hypothesis testing and estimation
- Minimum 3.0 GPA
- Many graduates have gone on to work as marketing managers, market research analysts, financial analysts and management analysts
Key Dates & Deadlines
October
24
Early Submit Deadline
Deposit Waiver2 and Application Fee Waiver Available.
November
21
Priority Submit Deadline
Application Fee Waiver Available and Early Application Review.
January
3
Final Submit Deadline
January
22
Start of Classes
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