Participate in forefront research across various domains and collaborate with faculty to address challenging problems in the realms of mathematics and computer science.
A new highly research-focused Ph.D. program in Computer Science for future careers in research in academia and industry with the following primary doctoral research areas:
Artificial Intelligence
Intelligent Robotics
Computational Biology
Cybersecurity
Data Science
Cognitive Psychology
Web Software Engineering
Software Engineering
Why LTU?
For more than 90 years, Lawrence Technological University has been at the forefront of education in the STEAM disciplines, science, technology, engineering, arts and architecture, and mathematics. This degree is an extension of LTU’s leadership in undergraduate computer science education, which has included the latest advances in machine learning and artificial intelligence. LTU has been world champion of the self-driving car division of the defense industry’s Intelligent Ground Vehicle Competition for six straight years, demonstrating mastery of integrating sensors, controls, and software in a real-world computer science application that is at the forefront of today’s mobility industry. And LTU's Computer Science Robotics Labs and Industry 4.0 Laboratory are interdisciplinary showplaces combining computing, intelligent robotics, and software development in an automated workplace, smart healthcare facilities, and research environment for emerging technologies of tomorrow.
Minimum requirements for admission to the program are:
A BS or higher degree in Computer Science or a closely related field from an ABET-accredited program or international equivalent
A minimum GPA of 3.2 on a 4.0 scale
Have demonstrated an aptitude for high-level research through submission of resume, publications, portfolios, and/or through on-site or online interviews
Have met university requirements (according to LTU PhD Policy and Procedures – 01) for demonstration of English proficiency (international students)
GRE is optional
Credit Hour Requirement and Coursework
Students entering with a Master of Science degree in computer science must complete a minimum of 48 credit hours of additional graduate work to earn the doctorate. Of those 48 credit hours at least 42 must be dissertation research, with an additional 6 credits of advanced coursework
Students entering with a bachelor’s degree must complete at least 66 credit hours of graduate work beyond their baccalaureate degree: at least 24 credit hours of coursework and 42 credit hours of dissertation research
Qualifying Exam
Required to demonstrate their aptitude and mastery of the fundamentals in computer science, including applied mathematics, by passing a written (and possibly oral in addition) Qualifying Examination
To be administered not less than once per year and will occur after the student completes their preliminary coursework. Upon successfully passing the Qualifying Exam, the student is admitted to candidacy for a PhD degree
Assistantship for Full-time PhD Students
Tuition Scholarships
$25,000 stipend per year
An updated resume with transcripts
A written statement outlining their research interests and personal goals
Three letters of recommendation attesting to their aptitude, character, and work ethic
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