Why Should You Apply to Graduate School? Masters Degree If you like Computer Science and Engineering in your Bachelors degree work, you’ll love the Masters! While a Bachelors degree provides qualifications for a general job in the IT division of a large company, a Masters degree offers specialized course-work leading to work in the computer industry itself (e.g., Google, Microsoft, etc.). Usually 2 years beyond the Bachelors degree, but GradTrack allows you to get a B. S. and M. S. in 5 years.

Why Should You Apply to Graduate School? Ph. D. Don’t just learn knowledge, create it! A Ph. D. makes you the expert in a topic never researched before (e.g., the Google search engine started as a Ph. D. dissertation topic). Professional opportunities include universities, research labs and leadership roles in start-ups. Usually 4-5 years beyond the Bachelors degree, perhaps less from the Masters degree.

M. S. Program Ph. D. Program 72 semester hours beyond the B. S. 36 semester hours (4 semesters – 3 with GradTrack) Computer Engineering Computer Science Computer Security Data Science Game Programming Ph. D. Program 72 semester hours beyond the B. S.

How Much Does It Cost? Financial Aid Instructional and Research Assistantships $1,400/month for M. S. $1,600-2,000/month + full tuition for Ph. D.

What Internships Do Our Graduate Students Get? Google Research IBM Research Microsoft Research Texas Instruments Toyota Research

What Jobs Do Our Graduate Students Get? Average salary for M. S. grads - $75,000/year (compared to $60,000/year for B. S.) Starting salary for Ph. D. grads in a research university like UNT - $90,000/9 months (up to $120,000 for 12 months) M. S. grads working for Cisco, Google, IBM, Microsoft, and Netflix Ph. D. grads working for Google, IBM, MIT, University of Michigan

Major Research Focus Areas Algorithms and computational science – bioinformatics, computational epidemiology Computer security – network, security, privacy management in social networks, securing multimedia Computer systems and networking – architecture, cloud computing, compiler optimization, hardware support for big data, hardware support for security, sensor networks, VLSI Databases and data mining – big data, information retrieval, multimedia databases, spatial and temporal databases, text mining Intelligent Systems – computer vision, game programming, human-computer interaction, machine learning, natural language processing Software engineering – domain-specific programming languages, logic programming, model-driven engineering, testing

Like to Know More about the Ph. D.? Join us for the Fall 2016 Graduate Preview Day, Friday, November 11, 11:00 A.M.-4:00 P.M. See http://engineering.unt.edu/fall-2016-graduate-preview for more information.

Further Information Chair: Barrett.Bryant@unt.edu Associate Chair for Graduate Studies: Robert.Akl@unt.edu Graduate Administrative Assistant: Stephanie.Deacon@unt.edu CSE Department Web Page: http://www.cse.unt.edu