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Data Science Master's

Master of Science (M.S.)

Gain the data science skills employers want.

Bring data to life with UND’s Master of Science in Data Science. Our unique curriculum delivers the perfect balance between theory and application. Your interdisciplinary analytics training will set you apart in the data science industry.

Program type:
Master's Degree
Format:
On Campus or Online
Est. time to complete:
2 years
Credit hours:
36
  • Requirements
  • Tuition & Aid
  • Why UND Online?
  • How to Apply

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Why earn a data science master's degree?

Application Deadlines
Fall:
Aug. 1
Spring:
Dec. 1

If you're an international student, refer to the international application process for deadlines.

Data scientists are in demand in several fields, and in different roles. Those with the technical expertise to be able to work effectively with data at scale is limited. 

With the data science master's, you'll can become part of a highly-skilled workforce that will support the expansion of data science-related industries. This advanced curriculum is an ideal marriage of computer science, data science and business analytics for well-rounded expertise in one of the fastest growing areas in the realm of computing. You'll gain:

  • Strong interdisciplinary knowledge
  • A domain-specific, analytics foundation
  • Experience with leading data science research

Accredited Data Science Master's

UND's master's in data science is offered on-campus or 100% online. UND is fully accredited by the Higher Learning Commission.

UND's Master's in Data Science

  • Participate in research and further existing studies with big data, including unmanned aerial systems (UAS) and high-tech engineering.

  • Focus on a variety of areas of training via elective courses, including artificial intelligence, cyber security and scientific visualization.

  • Participate in research projects, cooperative education and seminars with organizations or corporations.

  • Gain the graduate-level knowledge and expertise to successfully research and work with large data sets in a variety of industries and professional settings.

  • Compete in national computing competitions including the ACM International Collegiate Programming Contest and Midwest Instruction and Computing Symposium (MICS) Programming & Robotics.

  • The supercomputer at UND runs on the HPE Apollo 6500 Gen10 system, purpose-built for HPC and a leading platform for deep learning.  

What can I do with a master's in data science?

21%

Project growth of demand for computer and information research scientists to 2030

U.S. Bureau of Labor Statistics

125K

National average salary for data scientists

Glassdoor

There are rapidly rising salaries for data engineers, data scientists, statisticians and data analysts, particularly those with graduate-level education and advanced skills. Analysts estimate that the U.S. alone faces a 1.5 million shortage of managers with the skills to understand and make decisions based on analysis of big data.

Companies who have hired UND graduates in the past, and are also looking for data scientists, include:

  • Amazon
  • Apple
  • Target
  • IBM
  • Thomson Reuters
  • The MITRE Corporation

Data Science Master's Courses

DATA 520. Databases. 3 Credits.

An introduction to the principles of Database design and management. Topics include query optimization, procedural extension of query languages, runtime error handling, normalization techniques, data warehousing, and NoSQL. Prerequisites: DATA 511, DATA 512, and DATA 513 or permission of the School of Electrical Engineering and Computer Science. On demand.

DATA 532. Applied Machine Learning. 3 Credits.

Implementation and application of common machine learning algorithms using a high-level programming language. Algorithms that employ supervised and unsupervised learning will be considered in the context of a variety of applications such as searching and ranking, text mining, and recommender systems. Prerequisites: DATA 511, DATA 512, and DATA 513 or permission of the School of Electrical Engineering and Computer Science. On demand.

DATA 530. Artificial Intelligence. 3 Credits.

This course provides a broad overview of the algorithms and applications of Artificial Intelligence. Topics include agent theory, problem-solving with search, constraint satisfaction, game theory, knowledge-based systems, reasoning, information retrieval, pathfinding and classification. Prerequisites: DATA 511, DATA 512, and DATA 513 or permission of the School of Electrical Engineering and Computer Science. On demand.

DATA 527. Predictive Modeling. 3 Credits.

The development of models that rely on statistical methods to predict future events based on past performance. Common modeling methods will be introduced, and procedures to determine the accuracy of models will be covered. Prerequisites: DATA 511, DATA 512, and DATA 513 or permission of the School of Electrical Engineering and Computer Science. On demand.

DATA 525. Data Engineering and Mining. 3 Credits.

This course studies theoretical and applied issues related to data engineering and mining. Data engineering is to identify, investigate, and analyze the underlying principles in the design and effective use of information systems; and data mining is to discover patterns in large data sets and transform the patterns into a comprehensible structure for further applications. The following topics are covered: data collection, data preparation, data indexing and storage, data processing and analysis, data classification and clustering, knowledge discovery, information retrieval, data visualization, data sharing, data applications, and some other special topics. Prerequisites: DATA 511, DATA 512, and DATA 513 or permission of the School of Electrical Engineering and Computer Science. On demand.

DATA 550. Data Security. 3 Credits.

Data is considered one of the most important assets for any organization. The course in data security covers security and privacy issues, models, policies, and techniques for protecting data against various types of threats. Prerequisites: DATA 511, DATA 512, and DATA 513, or permission of the School of Electrical Engineering and Computer Science. On demand.

UND Data Science MS

Best Data Science Master's

Our master's in data science consistently ranks among the best for educational quality, affordability, and career outcomes.

MOST AFFORDABLE DATA SCIENCE Master's

2020 Most Affordable Online Master's in Data Science Programs

Data Science Master's Research

UND graduate students are leading the way in some of the world's greatest challenges in energy, big data, health care and autonomous systems.

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Explore More Options

Check out the computer science faculty you'll work with at UND or discover additional education opportunities.

  • School of Electrical Engineering and Computer Science
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Department Contact
Emanual Grant
Graduate Director 
P 701.777.4133
emanuel.grant@UND.edu
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