The next application deadline is October 10, 2022.
STEVENSONLINE IS A 7-TIME WINNER OF THE 21ST CENTURY DISTANCE LEARNING AWARD BY THE U.S. DISTANCE LEARNING ASSOCIATION.

ONLINE DATA-DRIVEN GRADUATE DEGREES FOR TECHNICAL LEADERS

GRE/GMAT NOT REQUIRED

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Program Benefits

Our online graduate programs are designed for interactive instruction with virtual learners in mind and feature individualized student support, direct access to world-class faculty, and flexibility for how and where you study.

Access to Top Hiring Companies

Our graduates have found opportunities with some of the biggest names in business and technology, including Google, Amazon, Microsoft and Bloomberg.

Connect with Industry Experts

Our online students have direct access to faculty who bring industry expertise to the program and offer real-world insights in the classroom.

Emphasis on Emerging Technology

Master new tools that will help you refine products, services and strategies in a business ecosystem undergoing constant, technology-driven change.

Online Program Comparison

Learn more about the difference between the data science and data science programs.

M.S. in Data Science

Offers a curriculum aligned with high-demand industry competencies. Students will engage in coursework to build proficiency as data scientists who can glean insights and aid in informed decision-making using Python and R, SQL, Hadoop, Hive, TensorFlow, machine learning and deep learning, predictive modeling and more.

10 courses, 30 credits, 1.5 years to complete on average

Prerequisites: Bachelor of Science degree with more than one year of mathematics coursework (including calculus)

Minimum 3.0 GPA

Graduates are prepared to work as data scientists, data analysts, statisticians, network engineers, AI research scientists and data analytics specialists

Business Intel & Analytics

Trains students to understand both the business implications of big data and the technology that makes that data useful. Our highly technical curriculum includes courses on machine learning, web mining, marketing analytics and big data technologies, including Hadoop and Hbase.

12 courses, 30 credits, 2 years to complete on average

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

Graduates are prepared to work as marketing managers, market research analysts, financial analysts and management analysts

Career Outlook

Prospective occupations as a Master of Data Science or Master of Business Intelligence & Analytics graduate.

Job Title
Employed
Average Income
Job Title: Business or Data Analyst
Employed: 905,000
Average Income: $87,000
Job Title: Software Developer
Employed: 1,500,000
Average Income: $107,000
Job Title: Management Analyst
Employed: 912,000
Average Income: $86,000
Job Title: General and Operational Management
Employed: 2,469,000
Average Income: $100,000

Source: Emsi Labor Market Data, 2021

#21
IN THE U.S.

U.S. Stevens ranked #21 on the Best Online Master's in Engineering list by U.S. News & World Report (2020)

Top 25
IN THE U.S.

Among the Top 25 STEM colleges by Forbes (2018)

7x
WINNER

21st Century Distance Learning Award by the United States Distance Learning Association

#12
IN NATION

Among top colleges with the highest paid graduates in PayScale's 2020-21 College Salary Report

#3
IN N.J.

Best engineering and science graduate programs by U.S. News & World Report (2022)

CAREER-ALIGNED CURRICULUM

Why Choose Stevens

Both of our data-oriented online programs are designed and led by the same distinguished faculty as our on-campus offerings. As an online student, you will connect with your professors during weekly live lectures and gain insights from course instructors who are industry thought leaders and active researchers.

Three peers analyzing data on a computer screen.

NEXT APPLICATION DEADLINE IS OCTOBER 10, 2022

The Stevens Advantage

In a global market increasingly reliant on technology, data and analytics, you need more than the traditional management toolkit. Learn to leverage data to make strategic business decisions through the 100% Online Master of Science in Data Science or Master of Science in Business Intelligence & Analytics at Stevens Institute of Technology.

Our online graduate degrees will advance your technical skills and ability to lead your team or organization to success. Gain the competitive edge you need to progress in your career with cutting-edge data tools and methodologies while learning to think critically about the implications of your data and how to communicate the results. The part-time, online programs are led by industry executives and academics who will prepare you for success as both an analyst and entrepreneur.

Frequently Asked Questions

The GRE/GMAT is not required to apply for the Online M.S. in Business Intelligence & Analytics or Online M.S. in Data Science.

Online programs are offered at a part-time pace, allowing enrolled students to continue to work full-time while pursuing their masters. Students in our online programs will spend a combined average of 9-12 hours per week on live lectures, asynchronous course material and assignments, though this is subject to change each semester based on individual student course load.

Students in our online programs are held to the same standards as our residential students. While online programs are offered at a part-time pace, the curriculum and rigor of the programs match that of our residential programs. All Stevens Institute of Technology graduates receive the same degree designation and your diploma will not reflect the modality of coursework.

Want to Learn More?

Request more information to learn about the upcoming cohort of our online data and analytics programs.