Master of Science in Systems Engineering
Pending Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) approval.
Specializations: Data Analytics and Automation
Thesis: 30 Semester Credit Hours
Non-thesis: 30 Semester Credit Hours
Program Information:
The Master of Science in Systems Engineering (MS SENG) is designed to equip students with the skills needed to address complex engineering challenges across industries. With concentrations in
Data Analytics and Automation, the program emphasizes interdisciplinary collaboration, systems thinking, and real-world applications of artificial intelligence (AI). Students benefit from close research interaction with faculty, access to cutting-edge computing and automation laboratories, and robust academic support.
Career Opportunities:
With the growing demand for data analytics and automation, both of which are deeply rooted in AI, graduates of the MS SENG program are well-positioned for employment in nearly every sector of the economy. These versatile, AI-driven skill sets open doors to impactful roles in areas such as:
- Manufacturing and Industrial Automation
- Transportation, Supply Chain, and Logistics
- Government and Public Sector Agencies
- Healthcare and Medical Technology
- Aerospace and Defense
- Energy and Utilities, including Oil and Gas
- Cyber-Physical Systems
- Financial and Data-Driven Enterprises
- Research Institutions and Higher Education
Program Requirements:
- Upper-level GPA of 3.00 or higher
- B.S. in Systems Engineering, other engineering degrees, or closely related degrees on a case-by-case basis
- Minimum GRE score of 152 Quantitative and 148 Verbal (minimum combined 300)
- Minimum 750 word statement of purpose detailing your background, education, and professional goals
- Professional resume
- Two letters of recommendation from academic or professional references
Department Contact:
School of Engineering
5201 University Boulevard,
Lamar Bruni Vergara Science Center (LBV) 312
Laredo, TX 78041-1900
Phone: 956.326.2446
Email: engmasters@tamiu.edu
Graduate School Contact:
Sue and Radcliffe Killam Library (KLM) 416
5201 University Boulevard
Laredo, TX 78041-1900
Phone: 956.326.3020
Email:graduateschool@tamiu.edu
Sue and Radcliffe Killam Library (KLM) 416
5201 University Boulevard Laredo, Texas 78041
Telephone: 956.326.3020
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