Data Analytics

Data Analytics
As businesses and companies around the world continue to grapple with making sound decisions regarding growing volumes of data – often referred to as “Big Data” – TLU offers a Master of Science in Data Analytics to prepare students for new careers in managing and analyzing data.

Master of Science in Data Analytics 

with Specializations in Business Analytics and Technology & Computation

TLU’s Master of Science (M.S.) in Data Analytics is designed to enhance the skill set of students from a variety of different undergraduate majors to understand the collection, organization, and analysis of large data sets. While the two specializations share a common core, the business analytics degree is more applied with hands-on projects and a practicum, whereas the technology and computational specialization is designed to give students specific mathematical, programming, and information systems skills to support data-driven decisions.

This degree is designed for individuals who hold bachelor’s degrees or for current students as a concurrent program along with their undergraduate degree. A Bachelor of Business Administration (any specialization) + the M.S. in Data Analytics or a Bachelor of Science in Math, Computer Science or Information Systems + the M.S. in Data Analytics can be completed in five years.

Business Analytics Specialization

The business analytics specialization is designed for those striving for a position within a company that would allow them to make data-driven decisions at the managerial and strategic level. This specialization involves direct work with businesses through projects and internships.

Technology & Computation Specialization

The technology & computation specialization is designed to give students specific mathematical, programming and information system skills to create infrastructure that supports data-driven decisions. 

Data Analytics Programs

  • The Core Curriculum

    Students select a specialization but have the opportunity to take courses from the other specialization as electives. The core classes focus on foundational analytical knowledge and application of that knowledge with technology. Each specialization includes a three-hour practicum, internship, or capstone project.

    Core Courses (15 hours):

    • Data Visualization and Communication (Business)
    • Advanced Statistical Methods I (Math)
    • Advanced Statistical Methods II (Math)
    • Data Mining (CS/IS)
    • Operations Research (Business)
  • Business Analytics Curriculum

    Business Analytics Curriculum (15 hours): 

    Take nine hours from the following courses: 

    • Marketing Analytics
    • Financial Analytics
    • Advanced Econometrics
    • Statistical Process Control/Six Sigma
    • Enterprise Resource Planning (ERP)

    Required (6 hours): 

    • Practicum, internship, or capstone (3 hours)
    • One data analytics course from either specialization as an elective (3 hours)
  • Technology & Computation Curriculum

    Technology & Computation Curriculum (15 hours): 

    Take nine hours from the following courses: 

    • Bayesian Statistics
    • Mathematical Statistics
    • Computational Methods
    • Database Design
    • Information Security
    • Advanced Data Mining

    Required (6 hours): 

    • Capstone project or thesis (3 hours)
    • One data analytics course from either specialization as an elective (3 hours)

  • Required Undergraduate Courses

    STAT 374, MATH 136 or MATH 241, BUSI 338, ISYS 231, ISYS 232. These courses are minimum undergraduate requirements for the core and majority of specialization courses. Additional undergraduate courses may be required for the individual specializations. 

What is a Concurrent Degree?

A concurrent degree allows students to earn both an undergraduate and graduate degree in five years. TLU offers a Master of Accountancy (MaCY) as well as the M.S. in Data Analytics as concurrent degrees. Both degrees require summer school for most students in order to complete both degrees in five years. The concurrent nature of the degree allows students to begin graduate classes during their senior year at TLU.

The following chart outlines the process for earning a M.S. in Data Analytics under the concurrent program. Students who already hold a bachelor’s degree could choose to complete the graduate degree in one year.

Year Process
Fall - Junior At the end of the fall semester of the junior year, a student may apply to the graduate program
Spring - Junior Admission occurs. Student is enrolled in undergraduate classes
Fall - Senior Students can take 1-2 graduate classes depending on schedule
Spring - Senior Student could take 1-2 graduate classes each semester depending on degree plan
Fall - 5th Year Students take 9-12 graduate hours depending on degree plan
Spring - 5th Year Students take 9-12 graduate hours depending on degree plan
Summer - 5th Year Student completes internship or practicum and graduates in August

Contact

For more information about the Master of Science in Data Analytics and how to apply, contact the TLU Office of Admissions at admissions@tlu.edu or 830-372-8050. For more information about TLU, visit tlu.edu.