Interested in Enrolling in an Interdisciplinary Graduate Program?
Doctor of Philosophy - Interdisciplinary Health Sciences
The Ph.D. in Interdisciplinary Health Sciences, one of the first offered in the Western United States, is an innovative approach to healthcare research and responds to the growing demand from federal funding agencies to have an interdisciplinary research approach to complex healthcare problems.
Program Director
Faculty
- Tiffany Barrett
- Arpita Basu
- Ronald Brown
- Donna Costa
- Francis Cucinotta
- Janet Dufek
- Paula Frew
- Thessa Hilgenkamp
- Kai-Yu Ho
- Jenny Kent
- Keoni Kins
- Laura Kruskall
- Yu Kuang
- Merrill Landers
- Szu-Ping Lee
- Jing Nong Liang
- Graham McGinnis
- John Mercer
- Jennifer Nash
- James Navalta
- Janice Pluth
- Brach Poston
- Kara Radzak
- Brian Schilling
- Julia Silvernail
- Zaijing Sun
- Richard Tandy
- Cassy Turner
- Gabriele Wulf
- Daniel Young
Doctor of Philosophy - Neuroscience
The interdisciplinary Neuroscience Ph.D. program provides coursework and research training in neuroscience, with research mentoring spanning a range of different dimensions (basic to applied/clinical neuroscience, molecular to cognitive neuroscience, various types of nervous system measurement approaches, etc.).
Program Director
Joel Snyder, Ph.D.
Graduate Certificate in Cybersecurity
The Graduate Certificate in Cybersecurity is part of a larger graduate program (M.S.) in Cybersecurity offered by UNLV. The cybersecurity program is recognized by a joint designation as a national center of academic excellence in cyber defense education (CAE CDE) by the NSA and DHS. This program is a joint offering from the College of Engineering and the School of Business. This duality within the program ensures that students in the program are exposed to the hard skills related to the engineering/hardware/software aspects of cybersecurity, but also to the managerial skills of controls, risk management, audit, governance and strategic management related to cybersecurity.
Program Director
Greg Moody, Ph.D.
Faculty
- Jorge Fonseca Cacho
- Grzegorz Chmaj
- Marc Goodman
- Ju-Yeon Jo
- Yoohwan Kim
- Chad Lewis
- Daniel Manson
- Hayden Williams
Master of Science - Cybersecurity
This program is an interdisciplinary master of science in cybersecurity provided by the Lee Business School and the Howard R. Hughes College of Engineering. Currently, there is a demand at the local, state, regional, and national levels for individuals to be trained in the knowledge of computers, networks, and risk and security management.
Program Director
Greg Moody, Ph.D.
Faculty
- Jorge Fonseca Cacho
- Grzegorz Chmaj
- Marc Goodman
- Ju-Yeon Jo
- Yoohwan Kim
- Chad Lewis
- Daniel Manson
- Hayden Williams
Master of Science - Cybersecurity & Master of Science - Management Information Systems
This program allows students who are interested in technology, and especially in cybersecurity to earn two complementary degrees (M.S. Management Information Systems and M.S. Cybersecurity) at the same time in a shortened time frame. Rather than earning each separately, recognizing the overlap between the fields, credits and concepts from the program are shared, and thus students are able to complete the program with less overall credits than completing each separately. This dual degree program is geared towards individuals who want to work with technology and also want a broader view of cybersecurity as technical speciality in their skillset.
Program Director
Greg Moody, Ph.D.
Faculty
- Jerry Chang
- Sutirtha Chatterjee
- Grzegorz Chmaj
- Honghui Deng
- Jorge Fonseca Cacho
- Marc Goodman
- Andrew Hardin
- Han-Fen Hu
- Ju-Yeon Jo
- Yoohwan Kim
- Rajiv Kishore
- Michael Lee
- Chad Lewis
- Daniel Manson
- Ken Peffers
- Marcus Rothenberger
- Hayden Williams
Master of Science - Data Analytics
The M.S. in Data Analytics equips students with technical skills that are used by professional data scientists for data analysis, visualization, predictions, and discoveries. This master's degree at UNLV utilizes the strengths of six colleges for computer programming, database technology, machine learning, management, and statistical techniques for data analysis in specific disciplines.
