A graphic of data.

Master’s Degree in Data Analytics



2 years

Required Credits




Why Get a Master of Science in Data Analytics at UNLV?

  • Data is growing at an unprecedented rate. Every minute, exabytes of data are being generated. Handling such a large amount of data is a daunting task that only machines can handle with the supervision of humans. Data is the next big boom, and it is booming at an exponential rate.
  • UNLV offers course and schedule flexibility – many of the courses are taught online, asynchronous and synchronous, or in-person in the evenings.
  • The interdisciplinary nature of the degree – a collaboration between six different colleges and schools – means you will learn marketable technology and leadership skills, work with data across disciplines, and increase your networking opportunities.
  • Complete a hands-on capstone project using real data in business, healthcare, hospitality and engineering.
  • UNLV is a top tier research institution and is ranked in the top five in the United States for super-computer and data analysis capabilities. It is also one of the most diverse campuses in the country. As a hub for the hotel industry, which has a high demand for data analysts, it allows for great external collaborations.

What is the M.S. in Data Analytics?

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


Students will learn marketable programming languages and technology skills in addition to business and leadership skills. Courses will cover Python, R, SQL, Spark, statistics, machine learning, business intelligence, and big data.

Course Examples
  • Data Analytics Programming
  • Statistics for Scientists
  • Business Analytics Methods and Tools
  • Managing Big Data & Web Databases
  • Data Analytics Capstone project using real data in business, healthcare, hospitality, social studies and engineering
Access to Cutting Edge Resources
  • Cherry Creek Super Computer Cluster
  • Specifically Catered Data Analytics Computing Clusters
  • New top-of-the-line Data Analytics Lab
Expert Faculty from Six Colleges/Schools
  • Department of Computer Science, Howard R. Hughes College of Engineering
  • William F. Harrah College of Hospitality
  • Lee Business School
  • College of Liberal Arts
  • College of Sciences
  • School of Public Health

Who is this Program Ideal For?

Due to the interdisciplinary nature of the program, individuals from all different undergraduate disciplines are encouraged to apply, not just those who have a computer science degree or already know programming.

The part-time program offers flexible scheduling, including many online synchronous and asynchronous courses, in addition to hybrid courses. The program is not entirely online so students will need to be located in Las Vegas for some courses.

Three people looking at a screen.

Career Opportunities

Businesses are dealing with huge quantities of data, and they need knowledgeable people to handle it. The types of jobs can vary greatly, from being an actual quant or data analytics person working with the raw data, to being a manager or leader who needs the technical knowledge to successfully interact with their team. Job sites Indeed and Dice reported a 30-33% year over year increase in data scientist positions posted, while searches by job seekers skilled in data science only grew 15% - suggesting a large gap between supply and demand. In the future, the best data scientists will not only reside in technical departments, but in marketing, sales, supply chain and finance.

Potential Positions

  • Data Analyst
  • Business Analyst
  • Quant Analyst
  • Evaluation Analyst
  • Credit Analyst
  • Internal Audit Data Analyst
  • Research Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Security Data Analyst


Master’s Degree in Data Analytics
Howard R. Hughes College of Engineering
Department of Computer Science
Kazem Taghva, Chair, Graduate Coordinator