Master of Science
in Data Science,
230K+ Alumni Worldwide
The Master of Science in Data Science program prepares you for a career in data science by teaching you how to apply statistical methods in solving real-world problems. Core coursework includes data modeling; data management; and mining of continuous, categorical, and multivariable data. Advanced specializations focus on artificial intelligence and optimization, business analytics, database analytics, or health analytics. The program culminates in a three-month capstone where real data from sponsoring organizations (or, alternatively, publicly available data) will be used in a team project to demonstrate your mastery in data acquisition, cleaning, analysis, modeling, visualization, and reporting.
The AI/Optimization specialization provides professionals with Python programming knowledge and skills in data science applications, including optimization methods, neural networks, deep learning, and model deployment in the cloud.
For the Master of Science in Data Science degree with a specialization in AI/Optimization, you must complete seven foundation courses, four specialization courses, and three capstone courses. Completion of all foundation and specialization courses is required prior to starting the capstone course sequence.
Students earning the Master of Science in Data Science with a AI/Optimization specialization will learn to:
- Use Python for AI and machine learning applications in data science
- Explore optimization methods and algorithms
- Evaluate neural networks and deep learning models
- Deploy machine learning models in the cloud
- Integrate components of data science to produce knowledge-based solutions for real-world challenges using public and private data sources
- Evaluate data management methods and technologies to improve integrated data use
- Construct data files using statistical and data programming to solve practical problems in data analytics
- Design and implement an analytic strategy for a potential issue relevant to the community and stakeholders
- Develop team skills to research, develop, and evaluate analytic solutions to improve organizational performance
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 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/programs 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.
National University degrees do not guarantee employment or salary of any kind. Prospective students are strongly encouraged to review desired job positions to review degrees, education, and/or training required to apply for desired positions. Prospective students should monitor these positions as requirements, salary, and other relevant factors can change over time.