Program Overview

Master's Degree in Data Analytics

Overview

The Master's Degree in Data Analytics at the University of Nevada, Las Vegas (UNLV) is a 2-year program that requires 36 credits. The program is located at UNLV and offers flexibility in course scheduling, with many courses taught online, asynchronously, and synchronously, or in-person in the evenings.

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

• Data is growing at an unprecedented rate, and handling such a large amount of data requires machines and human supervision.
• The program offers course and schedule flexibility.
• The interdisciplinary nature of the degree, which is a collaboration between six different colleges and schools, provides marketable technology and leadership skills, and increases networking opportunities.
• Students complete a hands-on capstone project using real data in business, healthcare, hospitality, and engineering.
• UNLV is a top-tier research institution with super-computer and data analysis capabilities, and is one of the most diverse campuses in the country.

What is the M.S. in Data Analytics?

The M.S. in Data Analytics equips students with 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.

Program

Students learn marketable programming languages and technology skills, in addition to business and leadership skills. Courses cover:

• Python
• R
• SQL
• Spark
• Statistics
• Machine learning
• Business intelligence
• 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?

The program is ideal for individuals from all different undergraduate disciplines, not just those with a computer science degree or prior programming knowledge. The part-time program offers flexible scheduling, including many online synchronous and asynchronous courses, in addition to hybrid courses.

Career Opportunities

Businesses are dealing with huge quantities of data and need knowledgeable people to handle it. The types of jobs can vary greatly, from being an actual quant or data analytics person working with raw data, to being a manager or leader who needs technical knowledge to successfully interact with their team.

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