Asya W.

Master of Science in Data Science

Asya W.
Class of 2009
Rico M.
Are you ready to develop problem-solving skills and get hands-on experience with data and analytics? Solving real-world challenges through statistical methods is the core of the Master of Science in Data Analytics program at National University. Three specializations are available to choose from — business analytics, database analytics, and health analytics — all of which cover specific nuances related to their areas of expertise.

To address the spectrum of issues in data analytics, this curriculum has been designed to include core courses in statistical topics as well as areas for advanced applications of data analytics in unique fields. Advanced topics include how to develop, implement, and maintain the hardware and software tools needed to make efficient and effective use of big data, including databases, data marts, data warehouses, machine learning, and analytic programming. State-of-the-art analytical software will be used in all courses.

The MS in Data Science program is designed for adult learners and can be completed in as few as 14 months with four-week classes. Faculty is made up of trained experts in the field who can offer career-focused knowledge and practical skills for analysis and data structures. Previous academic studies or industrial experience in such areas as math, statistics, computer programming, engineering, or science are helpful prerequisites for this master’s program. This degree is appropriate for both experienced professionals and recent college graduates.

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4-Week Classes

Balance work, life, and school with four-week classes.

Year-round Enrollment

Our admissions team reviews applications year-round.

14 Months to Your Master’s Degree

The MS in Data Science can be completed in as few as 14 months (14 classes).

$30 Million in Scholarships

Explore National University’s scholarship opportunities. Eligibility requirements apply.

Watch our video to learn more about the MS in Data Science from Dept. of Engineering and Computing Chair Dr. Ronald Uhlig.

Program Learning Outcomes

As a graduate of National University’s MS in Data Science program, students will be able to:

  • Integrate components of data analytics to produce knowledge-based solutions for real-world challenges using public and private data sources
  • Turn information into actionable knowledge through a three-month capstone project partnership with esteemed partner organizations and businesses
  • Access opportunities for professional certifications on SAAS, Oracle, and Data Warehouses
  • Evaluate data management methods and technologies used to improve integrated use of data
  • Construct data files using advanced statistical and data programming techniques to solve practical problems in data analytics
  • Design an analytic strategy to frame a potential issue and solution relevant to the community and stakeholders
  • Develop team skills to ethically research, develop, and evaluate analytic solutions to improve organizational performance
  • Design data marts
  • Analyze complex database queries for real-world analytical application platforms
  • Design medium-to-large data warehouses
  • Evaluate machine learning methods and strategies for advanced data mining

Take the first step in your data science career by starting your application online today.

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The culmination of this program is a three-month capstone project where real data from sponsoring organizations or publicly available data will be used to solve specialized problems in analytical database design, programming, implementation, or optimization. Often students complete projects for their current employers.

With this capstone, you’ll get a hands-on look at how critical data and analytics are to organizations and apply the skills you have gained throughout the program in a real-world scenario in the field.

The demand for data-driven decision makers is growing every year. All corporate functions, from marketing teams to C-suite executives, are looking to data experts for answers to major business questions. Given that, a career in data science can also be lucrative. According to the Bureau of Labor Statistics*, the median salary in 2019 for a data scientist was $94,280 per year.

A master’s degree in data science may help you increase your earning potential in this field and become a more valuable team member in any forward-thinking company.

To learn more about career opportunities and benefits of a master’s in data science, see what it’s like for one of our students after graduation: On the Job With an MS in Data Science.

*SOURCE: Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, the internet, at (viewed May 10, 2021) Cited projections may not reflect local and short-term economic or job conditions and do not guarantee actual job growth.

To obtain the Master of Science in Data Science, students must complete at least 63 graduate units. A total of 13.5 quarter units of graduate credit may be granted for equivalent graduate work completed at another regionally accredited institution, as it applies to this degree, and provided the units were not used in earning another advanced degree. Please refer to the graduate admissions requirements for specific information regarding application and evaluation.

Reach out today to speak to an admissions counselor directly or download the Course Catalog for additional course requirements and elective options.

Program Requirements

  • 14 courses; 63 quarter units

Core Requirements

  • 7 courses; 31.5 quarter units
Course Description Prerequisite
ANA 600 Fundamentals of Analytics N/A
ANA 605 Analytic Models & Data Systems ANA 600
ANA 610 Data Management for Analytics N/A
ANA 615 Data Mining Techniques N/A
ANA 620 Continuous Data Methods, Appl ANA 615
ANA 625 Categorical Data Methods, Appl ANA 620
ANA 630 Advanced Analytic Applications ANA 625

Students must select one area of specialization.

Specialization in Business Analytics

  • 4 courses; 18 quarter units
Course Description Prerequisite
BAN 640 Performance MGT & SCM Process N/A
BAN 645 Prediction in Marketing N/A
BAN 650 Probabilistic Finance Models N/A

Specialization in Database Analytics

  • 4 courses; 18 quarter units
Course Description Prerequisite
ANA 650 Database Design for Analytics N/A
ANA 655 Data Warehouse Design & Devel ANA 650
ANA 660 Advanced SQL Programming ANA 655
ANA 665 Data Mining & Machine Learning ANA 660

Specialization in Health Analytics

  • 4 courses; 18 quarter units
Course Description Prerequisite
HCA 626 Healthcare Information Systems ANA 630
COH 606 Epidemiology COH 602, or ANA 630
ANH 604 Clinical Research Analytics N/A
ANH 607 Health Outcomes Research N/A

Capstone Requirements

  • 3 courses; 13.5 quarter units
  • Students must complete all core and area of specialization courses prior to starting the capstone course sequence.
Course Description Prerequisite
ANA 699A Analytic Capstone Project I All core and specialization courses in an analytics program with a minimum GPA of 3.0 or approval of Lead Faculty.
ANA 699B Analytic Capstone Project II ANA 699A
ANA 699C Analytics Capstone Project III ANA 699B

Dr. Jodi Reeves

Dr. Jodi Reeves

Associate Dean of COPS, Academic Program Director, MS in Data Science

“The design of the curriculum and the program matches what the industry is looking for: a blend of business, computer science, and statistics. The Master of Science in Data Science enables our students to apply statistical methods to solve real-world problems and prepare for careers in data science.”

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Take the first step by starting your application online today. To speak to an enrollment advisor about this program, please email [email protected].

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Why Choose National University?

We’re proud to be a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible, achievable higher education to adult learners. Today, we educate students from across the U.S. and around the globe, with over 180,000 alumni worldwide.

Program Disclosure

Successful completion and attainment of National University degrees do not lead to automatic or immediate licensure, employment, or certification in any state/country. The University cannot guarantee that that any professional organization or business will accept a graduate’s application to sit for any certification, licensure, or related exam for the purpose of professional certification.

Program availability varies by state. Many disciplines, professions, and jobs require disclosure of an individual’s criminal history, and a variety of states require background checks to apply to, or be eligible for, certain certificates, registrations, and licenses. Existence of a criminal history may also subject an individual to denial of an initial application for a certificate, registration, or license and/or result in the revocation or suspension of an existing certificate, registration, or license. Requirements can vary by state, occupation, and/or licensing authority.

NU graduates will be subject to additional requirements on a program, certification/licensure, employment, and state-by-state basis that can include one or more of the following items: internships, practicum experience, additional coursework, exams, tests, drug testing, earning an additional degree, and/or other training/education requirements.

All prospective students are advised to review employment, certification and/or licensure requirements in their state, and to contact the certification/licensing body of the state and/or country where they intend to obtain certification/licensure to verify that these courses/program qualify in that state/country, prior to enrolling. Prospective students are also advised to regularly review the state’s/country’s policies and procedures relating to certification/licensure as those policies are subject to change.

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