About the course

Software engineering is the application of scientific knowledge to the development and maintenance of software systems. The Software Engineering concentration covers the methods of software synthesis and analysis and exposes students to rigorous software processes, automated process enactment, program analysis algorithms, in particular model checking, verification by proof, symbolic evaluation, runtime verification and test generation techniques. The Department of Computer Science at Texas State is the hub of computing related education and research activities on the campus.The department is on a mission to advance the knowledge of computer science and technology through education, research, and service for the betterment of society.The department is a doctoral-granting department, and the faculty are actively pursuing research in artificial intelligence, computer communication and networking, computer vision, cyber security and trustworthy computing, database and information systems, data science, distributed and parallel computing, high performance computing, human computer interaction, machine learning, data mining, multimedia computing, real time systems, sensor networks, smart health, software engineering, and sustainable computing. The faculty's research has been supported by federal and state agencies and industry such as NSF, NIST, DoD, DoE, LLNL, TxDOT, Semiconductor Research Consortium, IBM, Intel, NVidia, Google, Meta, Cisco, AMD, and Emerson. Our faculty members have obtained prestigious awards such as the PECASE Award, NSF CAREER Awards, DoE Early Career award, IBM Faculty Fellowship, Mata Faculty Research Award, and Google Faculty Research Awards.Computer science students take courses in a well-designed curriculum taught by the department's faculty members who are accessible, nurturing, and eager to engage students in learning and research. Students have access to an array of hardware, system software, and applications in our first-class computing laboratories. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 4 Semester(s)Fees: Not available

Intake	Location
Spring (January), 2024	San Marcos
Fall (August), 2024	San Marcos
Spring (January), 2025	San Marcos
Fall (August), 2025	San Marcos
Spring (January), 2026	San Marcos

　　

How to apply

Entry requirements for Texas State University

baccalaureate degree from a regionally accredited university

　　official transcripts from each institution where course credit was granted

　　minimum 2.75 GPA in the last 60 hours of undergraduate course work (plus any completed graduate courses)

　　background course work

　　official GRE (general test only) with competitive scores in the verbal reasoning and quantitative reasoning sections

　　The GRE may be waived if the student holds a master's or doctoral degree from a regionally accredited U.S. institution. If the student holds a master's or doctoral degree (or the equivalent thereof) from an accredited international institution, the GRE may be waived on an individual basis.

　　resume/CV

　　statement of purpose

　　three letters of recommendation

　　IELTS (academic) - overall scores required 6.5 and minimum individual module scores of 6.0

　　TOEFL iBT - overall scores required with a 78 overall and minimum individual module scores of (19 listening, 19 reading, 19 speaking, 18 writing)

　　

English language requirements

　　6.5

　　Overall IELTS band score

　　Book IELTS

　　About IELTS

　　Practice and prepare

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at Texas State University. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

Reviews and rankings

World ranking

　　1001st / 1250

　　THE World ranking

　　

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