Data Science M.S.

Data Science M.S. is a 2 years Masters program taught at University of North Dakota, North Dakota, USA. The program is offered in online and campus-based modes with full-time options. To successfully obtain Data Science M.S. from University of North Dakota you are required to complete 30 credit hours. After completion of Data Science M.S. you will be able to further continue for advance studies or start career as Data Scientist, Data Science Developer, Data Science Consultant.

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. Rapidly rising salaries for data engineers, data scientists, statisticians and data analysts reflect the shortage and increased interest in recruiting talent in this vital area.

With the data science graduate program, 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, and a domain-specific, analytics foundation, as well as experience with leading research.

The minimum requirements for admission in Data Science M.S. at University of North Dakota for all applicants (Domestic or International) are:

• program specific academic requirment set by University of North Dakota.
• English Language OR any other language requirments as set by University of North Dakota as pre-requiste for admission in Data Science M.S..

Note: Please check the university website in the link below.

You need to complete 30 credit hours to successfully obtain this degree. Please check detail of study units at https://und.edu/programs/data-science-ms/index.html

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.

You can join one of the following careers:

• Data Scientist
• Data Science Developer
• Data Science Consultant

80 fully funded scholarships are listed for USA. See USA scholarships.