Apply by October 10 and your application fee will be waived.
ONLINE MASTER'S IN COMPUTER SCIENCE, DATA SCIENCE, OR BUSINESS ANALYTICS

Online data-driven graduate degrees for technical leaders

GMAT/GRE not required

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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
10
Early Submit Deadline

$250 Deposit Waiver* and Application Fee Waiver Available.

November
21
Priority Submit Deadline

Application Fee Waiver Available and Early Application Review.

December
21
Final Submit Deadline
January
23
Start of Classes

*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.

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