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

Minimum GPA of at least 3.0 in undergraduate degree
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.
Three (3) letters of recommendation
Resume, including relevant IT experience and skills
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.

CORE		18
STAT 8416	INTRODUCTION TO DATA SCIENCE	3
STAT 8426	EXPLORATORY DATA VISUALIZATION AND QUANTIFICATION	3
ECON 8320	TOOLS FOR DATA ANALYSIS	3
BSAD 8080	BUSINESS FORECASTING	3
ISQA 8206	INFORMATION AND DATA QUALITY MANAGEMENT	3
ISQA 8060 (OR) ITIN 8300	RESEARCH IN MIS (OR) RESEARCH FOUNDATIONS	3

CONCENTRATION		12
Select one of the five concentration areas: Business Data Science for Health Sciences Information Technology Interdisciplinary Mathematics

EXIT REQUIREMENT		3-6
Capstone Project (3 credits) or Thesis Project (6 credits)

TOTAL CREDITS		33-36