100% Online MS in Data Science

8 Courses | 32 Credits | Finish in 12-16 Months

Competitive Tuition!

Earn your MS in Data Science for 20k!

Data Driven. Industry Inspired

Gain the skills needed to move into a rewarding, high paying career. The online Master of Science in Data Science degree program from Merrimack College equips students with the hard and soft skills necessary to start and build a successful career in the field of data science. Graduates leave the program with knowledge of coding, predictive modeling and machine learning as well as data storytelling and problem formulation.

The program features an innovative curriculum that focuses on developing strong coders, starting with fundamental coding courses in R and Python. Core courses emphasize creating and validating predictive models as well as using techniques of machine learning and artificial intelligence to conduct supervised and unsupervised learning. Students will apply their modeling and data analytic skills to real-life applications in areas such as the health care environment, social media/marketing, and sports analytics, and will complete a capstone project that takes a data set through the full data science lifecycle.

The projects and coursework in this program were specially designed under the guidance of faculty experts and industry professionals to develop the data science skills that employers need and hiring managers are seeking. Graduates of the MS in Data Science program are leading successful careers at companies including Amazon Robotics, Analog Devices, Capital One, GE Power, IBM, Liberty Mutual Insurance, Microsoft, Raytheon, Wayfair, and Zillow.

Earn your Master’s degree for a tuition of $20,000! Finish in 12-16 months and be ready to meet the demands of a career in one of the hottest and fastest-growing fields in America.

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Job openings in data science nationally
median salary for Data Scientist
Ranked Third Best Job in America

Source: Glassdoor.com, Obtained August 2022

What Skills Will You Develop?

To earn your Master of Science in Data Science degree, students will complete the 3 foundational courses and 3 core curriculum courses, plus one applications course and a capstone for a total of 32 credit hours. Students with prior educational achievement or work experience can request a waiver of the required courses R and Python Programming and Visual Data Exploration and replace them with additional electives.

Foundational Courses

Students will become familiar with the field of data science, its applications, and use cases. Students will learn relevant statistical topics with applications in data science.

Students will learn to write and read Python and R programming codes for exploring, summarizing, and visualizing numerical, categorical, date, and text data.

Learn to use industry-leading software to “tell the story of the data” by creating graphical summaries using Tableau and interactive dashboards using R Shiny.

Core Courses

Fitting and validation of multivariate predictive models focused on estimation of continuous or categorical outcomes, emphasizing statistical bases of models

Automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression, neural networks

Data capture related rights and responsibilities, data governance design and management, data security and privacy, information quality, and the ethical aspects of data access, usage, and sharing. operational and experiential aspects of data governance and differential privacy. (4 credits)


Use analytical techniques to convert social media data into marketing insights, benefits and limitation of social media listening, creation of monitors, discussion of standard social media metrics, market structure, consumers’ perception of brand.

Apply analytical techniques including multiple regression and discriminant analysis to predict player performance and team outcomes as well as business models for sports franchises.

This course is hands-on analytics of real-world healthcare datasets. Students will apply their modeling skills to real-life applications in the health care environment.


In this capstone experience, students take a problem through the full data science lifecycle using data provided by the instructor or a data set from an employer or internship. Instructor provides data and requirements. Students must complete six courses from the MSDS program before taking this capstone course.

In this capstone experience, students take a problem through the full data science lifecycle using data provided by the instructor or a data set from an employer or internship. Students provide their own data, or complete an industry internship.Students must complete six courses from the MSDS program before taking this capstone course.


Students will learn to write and read SQL and no-SQL queries. Students will develop an understanding of the design and function of relational and non-relational databases.

This course will provide students with a comprehensive understanding of the big data processing foundation and techniques. Students will understand basic concepts of parallel computing, big data, Hadoop, MapReduce, and Spark. Students will develop skills to solve big data processing problems.

Story-telling with data linked to maps, 2D and 3D spatial analysis using industry leading software ArcGIS, coordinate systems, projections, layering, raster and vector data.

Sentiment analysis with logistic regression and naïve Bayes; dynamic programming, hidden Markov models; encoding, decoding, machine translation.

Discover the Merrimack Difference

Learn from Experts
in the field of Data Science and Analytics!

Meet Our Faculty

Where Can A Master in Data Science Degree Take You?

Potential career paths for graduates of the Master of Science in Data Science include:

Data Scientist

$120,966per year

Research Scientist

$123,826per year

Sr Data Analyst

$146,210per year

Source: Glassdoor.com, Obtained August 2022


“As a new manager with expanding responsibilities at times I’m faced with resource constraints.  The Data Science program has given me the ability to support my team by taking on some of the analytic work when we have resource constraints.  Not only am I gaining a greater understanding of analytics, but I am able to apply my new knowledge every day in the workplace.”

WILL LINDSEY, Manager of Analytics, Blue Cross and Blue Shield of North Carolina

Yes! Tell me more about Merrimack’s Data Science degree!


At Merrimack College, we’re proud of our long history of providing quality degrees to students entering the job market. Our faculty are more than just teachers. We are committed to helping you grow — academically, personally and spiritually — so that you may graduate as a confident, well-prepared citizen of the world.

  • #10 Top 50 Best Value Online Big Data Programs 2020 by ValueColleges.com
  • U.S. News & World Report 2022 #34 Best Regional Universities North
  • U.S. News & World Report 2022 #41 Best Value Schools
  • U.S. News & World Report 2022 #3 Most Innovative Schools
  • Money Magazine’s Best Colleges 2020
  • The Princeton Review 2021 Best Northeastern Regional College
  • Apple Inc., Apple Distinguished School