Transcript Ph. D. Program

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.
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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.
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M. S. Program
• 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.
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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.
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What Internships Do Our Graduate
Students Get?
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Google Research
IBM Research
Microsoft Research
Texas Instruments
Toyota Research
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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
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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, humancomputer interaction, machine learning, natural language processing
• Software engineering – domain-specific programming languages,
logic programming, model-driven engineering, testing
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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-2016graduate-preview for more information.
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Further Information
Chair:
[email protected]
Associate Chair for Graduate Studies:
[email protected]
Graduate Administrative Assistant:
[email protected]
CSE Department Web Page:
http://www.cse.unt.edu
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