1. 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.

2. 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.

3. 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.

4. 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.

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

6. 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

7. 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

8. 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 for more information.

9. Further Information Chair: Barrett.Bryant@unt.edu
Associate Chair for Graduate Studies:
Graduate Administrative Assistant:
CSE Department Web Page: