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Build Data Models and Communicate Insights

100% Online Master of Science and Graduate Certificate in Data Science

Industry-Aligned | 100% Online | Competitive Tuition

DATA-DRIVEN Leaders

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M.S. in Data Science

Merrimack’s 100% online Master of Science in Data Science (MSDS) program develops well-rounded professionals with the technical, analytical, and communication skills needed to succeed as a data scientist.

  • No Coding Experience Required

  • 100% Online With Live, Weeknight Sessions

  • Taught By Industry Professionals

  • Competitive Tuition Under $21,000

  • Complete In 16 Months, Part-Time

  • 8 Courses, 32 Credits

  • Financial Aid Eligible

Graduate Certificate in Data Science

The Graduate Certificate in Data Science includes the first three “core” courses in R, Python, statistics, and data visualization. Students can start with the 12-credit certificate and apply the credits towards the 32-credit M.S. in Data Science program.

  • 100% Online

  • 24 Weeks, Part-Time

  • 3 Courses (12 credits)

  • No GMAT Required

  • $7,500 Tuition

  • Transfer Credits to Master’s Degree

  • 6 Start Dates Per Year

M.S. in Data Science Curriculum

Foundational Core (3 Courses)

If you do not have experience in statistics or coding, the foundational coursework gives you the framework needed to advance to more complex data modeling concepts. In addition, Merrimack offers free Bootcamps in R, Python, SQL, Tableau, and a review of Statistics.

Students with prior experience will be automatically considered for waiver of the first two courses to replace them with additional electives.

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.

Advanced Data Science Core (3 Courses)

These courses allow students the opportunity to apply their knowledge to industry applications and gain deeper understanding in an area of interest.

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.

Application and Elective Courses (2 Courses)

These courses allow students to apply their knowledge to industry applications and gain a deeper understanding of an area of interest.

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.

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.

Sentiment analysis with logistic regression and naïve Bayes; dynamic programming, hidden Markov models; encoding, decoding, and machine translation.
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. The instructor provides data and requirements. Students must complete six courses from the MSDS program before taking this capstone course.

*Required

NBA’s Senior Director, Basketball Strategy & Analytics, and Senior Data Scientist, to teach “Advanced Sports Analytics”

Josh Orenstein is currently the NBA’s Senior Director of Basketball Strategy & Analytics and Senior Data Scientist. He has over a decade of experience in the sports industry as a data scientist. He analyzed 3D radar data that transformed performance evaluation and development in Major League Baseball. At the NBA, he uses advanced analytics to improve the competitiveness of the on-court product, evaluation of referees, and evaluation of collegiate basketball players. He is also a Lecturer at Columbia University



Where Can A Master of Science in Data Science Take You?

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

Data Scientist

$152,260per year

Data Engineer

$115,440per year

Data Analyst

$80,104per year

Source: Glassdoor.com, Obtained October 2023

Nearly 200 graduates of the M.S. Data Science program are leading successful careers at companies such as: 

Blue Cross Blue Shield | Capital One | Cigna | CVS Health | IBM | Indeed.com| Liberty Mutual Insurance | Microsoft | Staples |  Thermo Fisher Scientific | Vertex Pharmaceuticals

What Our Students Are Saying:

“Data Science is such a broad field, but this program covers so many of the aspects of it. From machine learning to data visualization, you’ll definitely see how many different possibilities there are to starting a career in Data Science.”

Data Science Graduate, 2022

“You could tell that they enjoyed their jobs and that they enjoyed teaching as well, which made it even more enjoyable to go through the program when you’re getting that kind of energy back from your professors.”

Data Science Graduate, 2022

“This is what people are looking for – the federal government, local government, private companies … it’s where you want to be right now.”

Data Science Graduate, 2022

“At Merrimack College, you’re going to get all of the support that you would need to be successful in the Data Science program. As a starting point, Merrimack College provided me with some initial boot camps or training sessions to help me become more familiar with the course material and once the program starts, you are linked with a success coach who checks in with you regularly”

Data Science Graduate, 2022

A TOP GRADUATE SCHOOL

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 professionally — so that you graduate as a confident, well-prepared leader.

  • 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
  • The Princeton Review 2022 Best Northeastern Regional College
  • Forbes Magazine 2019 Top 10 Most Innovative School – Regional Universities North
  • Money Magazine’s Best Colleges Most Transformative College 2019
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Data-Driven Leaders

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