Maryville’s Online Master’s in Data Science

Earn your master’s in data science online with Maryville

Maryville University’s online Master of Science in Data Science will prepare you to collect and analyze data, manage teams and create data-driven strategies. Our expert instructors and faculty blend theoretical knowledge, hands-on experience and real-world case studies to help prepare you for the rapidly evolving landscape of data-driven industries.

As an online master’s in data science student, you will have opportunities to apply your knowledge through practical projects and elective courses. These electives will allow you to customize your education with coursework in areas such as statistics, probability, business and actuarial science. You’ll develop expertise in key areas including coding in R, SQL, Python and SAS, as well as machine learning, data mining, big data analysis and deep learning.

No application fees or GMAT/GRE scores are required to apply.

Develop critical coding skills in Python, SQL, R and SAS.

Build proficiencies in machine learning, data mining, big data and deep learning.

Earn an experience-driven degree and learn from industry leaders.

Online master’s in data science curriculum

The online master’s in data science curriculum is rigorous, practical and aligned with industry demands. Our curriculum reflects the current standards and trends in the data science industry. As an online student, you will:

Expand your fundamental and high-level data science knowledge, with advanced coursework in areas such as computer programming in R, Python, SAS and SQL, as well as machine learning, big data analytics, forecasting principles and deep learning.

Apply what you have learned in an experiential capstone project where you will work on a real-world data science problem from start to finish.

Learn from expert faculty who bring their real-world experience and insights to the virtual classroom.

In this 36-credit master’s program, you will need to take 24 credits of data science courses (DSCI) at level 500 or above, and 12 credits of DSCI, MATH, Actuarial Science or Computer Science at level 500 or above.

Data science courses

DSCI 501 – Math Modeling
DSCI 502 – R Programming
DSCI 503 – Python
DSCI 504 – SQL
DSCI 507 – SAS Programming
DSCI 508 – Machine Learning
DSCI 512 – Predictive Modeling
DSCI 598 – Capstone Project

DSCI 613 – NOSQL Database
DSCI 614 – Text Mining
DSCI 617 – Big Data Analytics
DSCI 618 – Experimental Design
DSCI 619 – Deep Learning
DSCI 624 – Data Visualization
DSCI 625 – Blockchain
DSCI 697 – Special Studies

Recommended elective courses

MATH 505 – Statistical Modeling I
MATH 509 – Mathematics for Artificial Intelligence
MATH 570 – Probability I
MATH 571 – Probability II
MATH 572 – Mathematical Statistics
ACSC 514 – Theory of Interest
ACSC 515 – Financial Mathematics
ACSC 594 – Actuarial Seminar I
ACSC 595 – Actuarial Seminar II

ACSC 607 – Loss Models
ACSC 611 – Derivative Markets
COSC 635 – Reinforcement Learning
COSC 640 – Fundamentals of Artificial Intelligence
COSC 641 – Advanced Artificial Intelligence
COSC 643 – Ethics of Artificial Intelligence
COSC 645 – Applications of Artificial Intelligence
DATA 630 – Data Visualization

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Early access to the online data science master’s program

Current Maryville undergraduate students, take note: through Maryville’s Early Access program, you can get a head start earning your master’s in data science online. You are eligible if you have a GPA of 3.25 or higher and you’ve completed 90 credit hours or more of your bachelor’s degree (at least 20 credit hours at Maryville).

With Early Access, you can earn up to 12 credits toward your master’s degree during the last phase of your undergraduate degree. Early Access allows you to take graduate-level courses that count toward your undergraduate and graduate degrees. These courses are billed at the undergraduate tuition rate, so you can save time and money.

Master’s degree in data science online admission requirements

Maryville’s hassle-free application process is designed to remove roadblocks, so you can focus on what’s important: your growth and your goals. No application fees. No GMAT/GRE scores. Maryville will even request your transcripts for you.

We offer three start dates per year, so you can apply and start learning sooner than you think. Here’s what you’ll need to submit:

Simplified, no-cost online application

Official academic transcripts from the college or university that awarded your undergraduate degree, and, if applicable, transcripts from any graduate institutions where courses were taken

English proficiency scores (International applicants may be required to submit scores that meet a certain threshold.)

To be eligible for admission into Maryville’s online master’s degree in data science, you will need a bachelor’s degree from a regionally accredited college/university and a minimum 3.0 GPA.

Data science careers

Online master’s in data science graduates are well-equipped to pursue a multitude of dynamic data science careers. Their deep understanding of data analysis, programming languages, machine learning and statistical modeling techniques help these professionals be in high demand across various industries.¹

Online master’s in data science graduates may be ready for in-demand jobs, such as:

Data scientist
Senior data analyst
Data engineer
Financial analyst manager
Business analyst
Computer and information research scientist
Computer systems analyst

Pricing analyst
Management analyst
Marketing analyst
Research analyst
Statistical data analyst
Operations research analyst

Online master’s in data science graduates work in many settings, including:

Large corporations
Government agencies
Insurance agencies

Small businesses
Technology firms
Nonprofit organizations

¹ Data Scientists. (2023). U.S. Bureau of Labor Statistics. Retrieved March 19, 2024.

Optimize business solutions through data-driven strategies. Take the next step — learn more about Maryville’s online master’s in data science program.