Master of Science in Data Science

Further your academic and professional career with UNO's Master of Science in Data Science graduate program. This interdisciplinary degree trains professionals through coursework and experiences in business, IT, and mathematics.

About the Program

The vision of the Master of Science in Data Science program is to provide flexible, innovative, and technologically current education to rising data professionals who want to prepare for corporate leadership positions through their functional expertise. The interdisciplinary data science program brings together thought leaders in the fields of business, information technology, mathematics, and other units at UNO, including international university partners and local businesses.

This interdisciplinary graduate program is designed to be completed in 24 months. The curriculum includes course modules on topics that address the following major themes: data organization, manipulation, cleaning, and visualization; data analytics; working with massive amounts of data; dealing with missing and messy data; understanding the value of data and creating data products.

Students will take coursework from the College of Arts and Sciences, College of Business Administration, and College of Information Science and Technology.

Application Deadlines

• Spring: December 15
• Fall: July 1

Admission Requirements

1. Minimum GPA of at least 3.0 in undergraduate degree
2. Applicants are required to have a command of oral and written English. Those who do not hold a baccalaureate or other advanced degree from the U.S., OR a baccalaureate or advanced degree from a pre-determined country on the waiver list, must meet the minimum language proficiency score requirement in order to be considered for admission. The minimum scores for applicants are: 550 for the written TOEFL, 80 for the internet-based TOEFL, 6.5 on the IELTS or 53 for the PTE.
3. Three (3) letters of recommendation
4. Resume, including relevant IT experience and skills
5. Interview: an on-campus, telephone, or Skype interview is optional, but encouraged

Program Requirements

Foundation Courses

Students must have completed basic courses in the following areas, either as an undergraduate student or prior to enrolling in the first data science course:

• - Introduction to Programming: one semester of Java, Python, C++, or other approved programming course
• - Statistics: one semester of undergraduate statistics

Foundation courses do not count towards the plan of study/degree requirements.

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