Program Overview
The Computer Engineering at The University of Texas at San Antonio is a MSc programme in Computer Science & IT over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Computer Engineering programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- English requirement: IELTS 6.5
- Tuition: USD 22,942 (Tuition (Year)) — National students; USD 15,889 (Tuition (Year)) — In-State students
- Location: Texas City, United States, United States
Career Opportunities
Graduates of the Computer Engineering programme are prepared for diverse careers in computer science & it:
- Software Engineer / Developer
- Data Scientist
- Machine Learning Engineer
- IT Project Manager
- Cybersecurity Analyst
- Cloud Solutions Architect
Program Curriculum
Course Structure
- Communications: Fiber optic communications, fiber optic sensors, coding and error correction, control of communication networks, positioning and navigation algorithms, GPS, signal processing for communications, digital communications systems, wireless mobile communications, information theory, and signal detection and estimation.
- Computer and Digital Systems: Parallel and distributed computing, routing in computer networks, network intrusion detection, computer architecture, ASICs, RISC processors, microprocessor based systems, VLSI design and testing, CAD tools, HDL modeling and FPGA implementation, computer graphics hardware and software parallelism, visualization techniques, information science, optimization and forecasting, digital systems, multimedia and network processors, low power VLSI systems, and reconfigurable computing
- Signal and Image Processing: Signal and image processing, visual communication, and quantum information processing and communication, signals and systems, tomographic imaging, processing biomedical images FISH (Fluorescence In Situ Hybridization), theory of fast unitary transforms, robust linear and nonlinear filters, morphological image processing, statistical signal processing, Bayesian methods, sampling-based approaches.
- Systems and Control: Intelligent systems, neural networks and fuzzy systems, adaptive learning, data mining, networking, diagnosis and prognosis, health monitoring, and robotics and automation, Complex Systems, Computational Intelligence, System of Systems Engineering, Mechatronics, Neuro-fuzzy techniques, robotics and intelligent networks/systems, robust and adaptive control, stabilization of nonlinear systems, optimal control, homogeneous systems theory, aerospace systems and power plants.
- Microelectronics and Microdevices: This concentration area provides students with balanced training in theory and experimentation in the areas of analog and mixed signal integrated circuit design, microsystems technology (MEMS), RF and Microwave devices. Research emphasis covers such diverse topics as wireless transceivers, data converters, power management, VLSI, micromirror arrays, MEMS microwave devices, Bio-MEMS, photonic crystals, microfluidics, sensor arrays, microchemical reactors, micropropulsion and energy harvesting schemes. Graduates are well qualified to seek employment in semiconductor manufacturing, aerospace, telecommunications, petrochemical industry, food and chemical processing, microelectronics research and development, health care and other industries requiring analog circuitry, sensing schemes or the application of microdevices.
Admission Requirements
Academic Requirements
- Bachelor\xc2\x92s degree with 18 credit hours in field of study or in another appropriate field of study.
- Specific Degree Requirements: N/A
- Graduate Studies Application: Yes
- Department Application: No
- Test Scores: General GRE required
- Resume or CV: No
- Letters of Recommendation: No
- Statement of Purpose: No
- Minimum TOEFL Score: 550paper/79 internet
English Proficiency: IELTS 6.5 or equivalent.
Tuition & Financial Information
Tuition Fee
USD 22,942 (Tuition (Year)) — National students; USD 15,889 (Tuition (Year)) — In-State students
Tuition fees: USD 22,942 (Tuition (Year)) — National students; USD 15,889 (Tuition (Year)) — In-State students
IELTS requirement: 6.5
Financial Aid & Scholarships
Contact The University of Texas at San Antonio directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About The University of Texas at San Antonio
The University of Texas at San Antonio
San Antonio, United States
The University of Texas at San Antonio is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their...
University Profile- Application Deadline 2015-03-18
- Start Date 2018-08-22
- Language English
- Duration 24 months