Master of Science in Data Science
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Learn how to blend business, computer science, and statistics to solve real-world problems.
Machine learning. Neural networks. Artificial intelligence. What does it all mean, and where is it taking the field of data science? To address the spectrum of issues in data science and analytics, National University designed an industry-current curriculum that includes core courses in statistical topics as well as four specializations for advanced applications of data science and analytics in unique fields: Artificial Intelligence and Optimization, Business Science and Analytics, Database Science and Analytics, and Health Science and Analytics.
NU’s Master of Science in Data Science focuses on 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, analytic programming, and artificial intelligence.
The National Science Foundation (NSF) has awarded a $20 million grant to a partnership of prestigious universities led by University of California, San Diego, and including National University, Yale University, the Massachusetts Institute of Technology, the University of Pennsylvania, and the University of Texas at Austin. Working together, the universities will form The Institute for Learning-enabled Optimization at Scale (TILOS).
Our five-year research partnership will focus on the optimization of artificial intelligence (AI) and machine learning. We will work closely with industry leaders to develop optimization tools that will enable real-world improvements in key industries, including chip design, robotics, and communications networks. State-of-the-art analytical software will be used in all courses.
The Western Association of Schools and Colleges (WASC) accredits public and private schools, colleges, and universities in the U.S.
Master of Science in Data Science, AI/Optimization
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.Learn More
Master of Science in Data Science, Database Analytics
The Database Analytics specialization prepares professionals for developing, implementing, and maintaining the tools needed to make efficient and effective use of big data. Instruction and coursework will focus on databases, data marts, data warehouses, machine learning, and analytic programming for applications in AI and optimization.Learn More
Master of Science in Data Science, Business Analytics
The Business Analytics specialization is designed for professionals who want to improve business decision-making by applying scientific knowledge and tools to big data. With organizations measuring and planning every part of their operations through data analysis, demand for those with the knowledge and skills to turn raw data into better decisions has never been greater.Learn More
Master of Science in Data Science, Health Analytics
The Health Analytics specialization is designed to provide data professionals with practical learning experience through application of statistical methods to help solve real-world health and life science analytics problems. Instruction and coursework will explore healthcare information management systems, epidemiology, health management, clinical research, clinical trials, and health-outcomes research.Learn More
Program Learning Outcomes
As a graduate of National University’s Master of Data Science program, you’ll understand how 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 SAS, 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 towards a career in data science. Apply online today.
Hear From Our Faculty
Watch our video to learn more about the MS in Data Science from Dept. of Engineering and Computing featuring Dr. Ronald Uhlig, Academic Program Director, Department of Engineering.
“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.”
– Dr. Jodi Reeves Associate Dean of COPS, Academic, Program Director, MS in Data Science
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Frequently Asked Questions
As part of an initiative to establish a series of artificial intelligence research institutes nationwide, the National Science Foundation (NSF) has awarded a $20 million grant to a partnership of prestigious universities led by University of California, San Diego, and including National University, Yale University, the Massachusetts Institute of Technology, the University of Pennsylvania, and the University of Texas at Austin.
Working together, the universities will form The Institute for Learning-enabled Optimization at Scale (TILOS). The five-year research partnership will focus on the optimization of artificial intelligence (AI) and machine learning. We’ll work closely with industry leaders to develop optimization tools that will enable real-world improvements in key industries, including chip design, robotics, and communications networks.
The MS in Data Science program is designed for adult learners and can be completed in as few as 14 months. One unique advantage NU has over other universities is that we offer 4-week courses, and our admissions team reviews applications year-round. This innovative course design lets you start sooner, finish faster, and have the flexibility to juggle your work and family commitments along with your studies.
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 2021 for a data scientist was $131,490 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.
Data analytics is a subset of data science (which includes a trifecta of applied statistics, computer programming, and domain knowledge). Data analytics entails looking at raw data from a source (such as a database), cleaning it, processing it, and transforming it into a form that can be easily understood by others.
Data Scientists create sophisticated analytical models used to build new datasets and derive new insights from data.
Data Analysts leverage data analysis and modeling techniques to solve problems and gather insight across functional domains.
Data science jobs help organizations make data informed business decisions in a number of areas in finance, accounting, marketing, information services, operations and other critical areas. Key skills associated with data science are:
- Machine Learning
- Data Analysis
- Computer Science
- R (statistical computing language)
- Artificial Intelligence
According to Emsi labor market analytics and economic data1, Data science jobs span a wide number of industry settings including :
- Computer and information technology (IBM, Microsoft, Facebook)
- Finance (banks and financial institutions like JP Morgan Chase, Wells Fargo)
- Insurance (Travelers Group, Humana, Anthem)
- Management consulting firms (Deloitte, KPMG, Accenture)
- Healthcare providers and systems (Teladoc, HCA Healthcare, Centene, Ascension)
- Biotechnology and pharmaceutical manufacturing (Johnson and Johnson, Bayer)
- Transportation (Ryder, Uber)
- Retail (Amazon)
SOURCE: Emsi Labor Analyst- Report. Emsi research company homepage at https://www.economicmodeling.com/company/ (Report viewed: 2/17/2022). DISCLAIMER: The data provided is for Informational purposes only. Emsi data and analysis utilizes government sources to provide insights on industries, demographics, employers, in-demand skills, and more to align academic programs with labor market opportunities. Cited projections may not reflect local or short-term economic or job conditions and do not guarantee actual job growth. Current and prospective students should use this data with other available economic data to inform their educational decisions.
The Key Grant Scholarship
Do you qualify for a needs-based scholarship? Learn more about the NU Key Grant Scholarship and other scholarship opportunities to unlock the door to your dreams!
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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.