Master of Science in Data Science - brochure

“Our Master of Science in Data Science is geared toward business analysts who not only understand big data, but who can effectively use it in business.

Our

graduates will understand specialized tools to acquire and use data.

Then,

from the business end, they will understand how to use the data for a competitive advantage.

Our program

incorporates three key characteristics: asking the right types of questions; using technology to obtain data; and using statistics to understand the data.�

Follow our progress #RawlsLeads

─ Eric Walden, Ph.D., Associate Professor Director of Data Science Programs Area of Information Systems and Quantitative Sciences

datascience.ba.ttu.edu

Master of Science in Data Science

technical savvy

│ analytical skills │ business skills │ actionable insight

About the Program This one-year STEM-designated program consists of 12 courses. Students will learn how to use advanced technologies to manipulate big data, utilize rigorous statistical methods to interpret the data, and obtain the business skills necessary to translate their understanding into actionable organizational strategies.

Course topics include statistics, technology, and business, as well as courses integrating the three areas.

Graduates can expect to find employment in data science, business analytics, business intelligence, and big data fields – some of the most rapidly growing areas in business as well as in medicine and the applied sciences. With the Rawls College’s low tuition rates and one-year completion time, this program offers an excellent return on investment for students.

Industry Demand Industry demand for qualified data scientists has exceeded the supply. A McKinsey Global Institute report estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.” In fact, the Harvard Business Review called data science the “sexiest job of the 21st century.” There is no industry that will be untouched by the demand for data scientists who can effectively interpret large amounts of data and communicate findings.

Required Coursework

(12 Courses, 36 Credit Hours) Students take two condensed courses simultaneously for a total of four courses per semester. Coursework must be completed sequentially in the order below, as concepts build upon each other.

Semester one ISQS 5347: Advanced Statistical Methods ISQS 6337: Scripting Languages ISQS 6338: Database Concepts ISQS 6348: Applied Multivariate Analysis

Semester two ISQS 5341: Big Data Strategy ISQS 7342: Advanced Topics: Project Management ISQS 6349: Predictive Analysis ISQS 6339: Business Intelligence

Semester three ISQS 7339: Prescriptive Analytics ISQS 6347: Data and Text Mining ISQS 5330: Decision Theory and Business Analytics ISQS 7342: Advanced Topics: Data Science Project

Application Process Visit datascience.ba.ttu.edu for application deadlines.

1. Apply to the Rawls College of Business.

2. Apply to the Texas Tech Graduate School.

3. Submit official transcripts and/or additional required documentation to: Office of Graduate Admissions Texas Tech University Administration Building 328 PO Box 41030 Lubbock, TX 79409-1030

Contact Eric Walden, Ph.D. eric.walden@ttu.edu 806.834.1925