Why Choose Stevens
Stevens designed the Online M.S. in Data Science curriculum to align with in-demand industry skills and emerging technologies while equipping students with a strong foundation in theory and academic areas of inquiry. You will engage in courses that both challenge and expand your understanding of:
- Python, R, SQL, Hadoop, Hive and TensorFlow
- Machine learning
- Deep learning
- Predictive modeling
- Advanced statistical and optimization methods
- Supervised/unsupervised learning
- Neural networks
- Natural language processing (NLP)
- Data visualization
Key Dates & Deadlines
February
14
Early Submit Deadline
$250 Deposit Waiver1 and Application Fee Waiver Available.
March
14
Priority Submit Deadline
Application Fee Waiver Available and Early Application Review.
April
11
Final Submit Deadline
May
22
Start of Classes
Frequently Asked Questions
Students in the Online Master of Science in Data Science program are required to take 10 classes (30 credit hours). On average, students can earn their degree in two years. This timeline may vary depending on how many credits are taken each semester.
The Online Master of Science in Data Science is an online program. This is centered around students engaging in distance learning coursework to develop skills as software development leaders and high-quality coders.
Yes. Students have a variety of options to fund their education. We encourage you to consult with the Office of Financial Aid or a financial advisor when determining the best way to fund your education.
Want to Learn More?
Request more information to learn about the upcoming cohort of the Online Master of Science in Computer Science program.
1Applicants 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.