Master of Science in Technology
Management, Data Science Management
NO Residency
NO Group Work
100% Online Learning
Master of Science in Technology Management, Specialization in Data Science Management
The Master of Science in Technology Management (MSTM) with a specialization in Data Science Management is designed to prepare students for data science leadership positions. You will explore key topics in the areas of technical management and leadership, data science, quantitative research design for technology professionals, analysis and interpretation of data, and data visualization techniques. You will be exposed to activities that highlight services to optimize operations and justify fiscal resources required to meet the strategic and operational technology needs of the enterprise. Finally, you will conduct activities to incorporate strategic, operational, and project planning and management into the implementation of IT solutions.
Why Earn Your Master’s in Data Science Management with National University?
Unmatched Flexibility
NU offers weekly course starts, no scheduled lecture hours, no group assignments, weekly assignments, and the ability to schedule courses around your personal and professional obligations.
100% Doctoral Faculty
No matter the degree level you pursue, you can rest assured that you will be mentored by doctors in your field of study.
Individual Based Engagement
At NU, you’ll have the opportunity to interact with your professors, receiving personalized mentoring.
Degree Requirements
The Master of Science in Technology Management is a 30-credit program comprising 15 core credits, 12 specialization credits, and 3 capstone credits. Graduates must complete 30 credit hours.
Students will select a discipline-specific specialization that complements the core coursework. The MSTM program prepares students to be forward-thinking, strategically aligned organizational leaders.
Students assume full responsibility for understanding the program’s foundational, specialization, and capstone requirements. Switching programs after completing coursework may result in reevaluation, monetary loss, loss of credit hours, and/or the need to take additional credit hours. Students’ Academic and Finance Counselor can assist with any questions related to program requirements.
The University may accept up to 12 semester credit hours in transfer toward the Master of Science in Technology Management for graduate coursework completed at an accredited college or university with a grade of “B” or better. Courses considered for transfer must mirror courses in the program. The Dean of the School of Technology and Engineering must approve any courses considered for transfer. See the Transfer Credit Policy for additional information.
Total Requirements for Specialization (4 courses; 12 semester credit hours)
Students must choose four courses from the list:
Data science is a dynamic subject, with new techniques of analysis and visualization of data to provide insights continually under development. During this introductory course, you will learn about data science applications such as supervised, unsupervised, and reinforcement learning, statistical models, data visualization, and the data science life cycle. This course introduces you to commonly used data science technologies and platforms. You will also explore relevant legal, ethical, and privacy issues affecting data management, analysis, and reporting in today’s technology environments
The results of technical research are frequently used to support informed management decisions. This course provides technology professionals with the skills needed to analyze quantitative research studies that support specific types of data. During this research course, you will analyze different types of quantitative research methods and statistical techniques. You will also examine the instrumentation, data collection, and data analysis tools and techniques used to create aligned, ethical, and substantive research designs.
Data are of little meaning unless transformed into insights. In this course, you will explore the methods and processes through which data are reviewed for the purpose of arriving at an informed decision making or insights. The interpretation of data assigns a meaning to the information analyzed and determines its signification and implications. Reporting of data is the art around data science that establishes the best format alternative for the audience set to the receive the insights.
Building and communicating graphical representations of data are critical tasks assigned to data scientists. In this course you will learn to design and create interactive and static visualizations using the appropriate formats based on the principles of composition. You will gain the understanding of how to represent curated and transformed data to tell a story of insights to a targeted audience of stakeholders. The data will be based on tabular models selected from industry. In the signature assignment, you will deliver an effective communication of insights to stakeholders you must sway using your skills gained in data visualization and communication.
Learning Outcomes
Upon successful completion of this program, students will be able to:
- Demonstrate applied knowledge of technical management and leadership.
- Manage IT systems and services to optimize operations.
- Justify the fiscal resources required to meet the enterprise’s strategic and operational technology requirements.
- Interpret technical concepts in the most appropriate style and format for the audience
- Integrate strategic, operational, and project planning and management into the implementation of IT solutions.
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 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.