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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


The Master of Science in Data Analytics at UNLV is an interdisciplinary program that equips students with the technical skills used by professional data scientists. The program utilizes the strengths of six colleges and covers applications in many industries and specialties. Students must complete 36 credits of approved coursework with a GPA of 3.0 or higher to graduate. The program is designed to appeal to and accept a wide variety of students from a wide variety of academic disciplines.

Program Outline

Outline:

The Master of Science in Data Analytics at UNLV is an interdisciplinary program that equips students with the technical skills used by professional data scientists for data analysis, visualization, predictions, and discoveries. The program utilizes the strengths of six colleges for computer programming, database technology, machine learning, management, and statistical techniques for data analysis in specific disciplines. The program covers applications in many industries and specialties such as health care, hospitality, social sciences, engineering, business, and government.


Assessment:

Students must complete 36 credits of approved coursework with a GPA of 3.0 or higher to graduate. Students will work with an advisor and present their work to collectively decide on a Satisfactory/Unsatisfactory basis in their capstone course. A student can have no more than one grade less than B-.


Careers:

The program is designed to appeal to and accept a wide variety of students from a wide variety academic disciplines and the goal is that students will be able to acquire this degree and enter careers in their area of specialization with mid-level data analytical capabilities. From there, they will be able to grow their careers as their experience and application of these skills in their field increases.

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Admission Requirements

Entry Requirements:

  • Completed a regionally accredited Bachelor's degree.
  • Minimal mathematics background is required (equivalent to MATH 127 or 128).
  • Official transcript of all university-level education from accredited institutions.
  • Unofficial transcripts can be accepted at the time of application, however, official transcripts must be submitted upon acceptance.
  • International students must follow the English proficiency requirements
  • Two letters of recommendation concerning the potential for success in the graduate program.
  • Statement of purpose explaining interest in the program.
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