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Discipline-Specific Admission Requirements
A student who meets the minimum discipline requirements stated below will be considered for regular admission to the Ph.D. program. A student, who does not meet some of the requirements but shows high potential for advanced-level work, may be considered for provisional admission. Admission also depends on factors such as number of seats available, resources available in the area of student's interest, the quality of previous work, etc. A student who does not qualifying for admission to the Ph.D. program, may be considered for admission to the M.S. in computer science program. Requirements for admission are similar, whether the applicant is requesting computer science as the primary or co-discipline. Minimum Recommended PhD Admission Requirements:
- GPA (Bachelor or equivalent Degree): 3.5 in the scale of 4 (or equivalent)
- GPA (MS or equivalent Degree if any): 3.5 in the scale of 4 (or equivalent)
- GRE (Quantitative) minimum score: 80%
- TOEFL iBTS minimum Score: 89 or IELTS minimum score = 6.5
- Prior Projects or Publications (Preferred)*
- Internationally Acceptable Accreditation of the Prior Degree Awarding Institutes
* Prior research project and/or publication record is not required for admission into CS PhD program. However, doctoral faculty members give very high value to the students with such backgrounds.
Direct or Expedited PhD Program
It is not required to have an MS or equivalent degree to apply to CS PhD program. We accept well qualified and motivated students with a Bachelor degree directly into our PhD program. We actively encourage students in the Direct PhD Program to try to complete the doctoral study within 4 or 5 years after the Bachelor degree. To complete the PhD degree in an expedited timeline, first, the student has to be dedicated and well qualified. Second, the student must make a comprehensive plan at the beginning of the doctoral study to complete all the relevant steps within a strict timeline, which is challenging but not impossible.
Clarification of Minimum Requirements and Decision Process
The applicant must have a bachelor's degree and/or a master's degree in computer science, computer engineering, electronics, communications engineering or any other field requiring substantial training in at least one of the above fields and in mathematics with a GPA of 3.5 or better on a 4.0 scale, cumulative as well as in the major field; and a GPA of 3.5 or better on a 4.0 scale, in all post-baccalaureate or post-master's degree work.
Aptitude for Advanced Work
The student must demonstrate an aptitude for advanced-level work through national/international standardized examinations such as the GRE. The expected performance level is the 80th percentile in the quantitative portion of the GRE examination. The student must also show an excellent performance in all of his or her coursework.
Proficiency in English
The student must demonstrate his or her proficiency in oral and written communication in English through national/international standardized English examinations such as TOEFL, verbal portion of the GRE, etc. Because of this test, the student may be required to improve his or her oral and written communication in English before enrollment in the courses of the chosen disciplines.
Note: For students with a North American (USA and Canada) B.S. or M.S. degree the English Proficiency requirement is exempt.
The student must provide at least three recommendation letters, identifying clearly his or her academic achievements and exceptional quality, from the professors from his or her previous institution(s). If the applicant has been out of school for several years, recommendation letters from his or her supervisors (technical) will be acceptable. However, even in this situation, a recommendation letter from his or her last academic institution is highly recommended. A recommendation from a faculty member in the Computer Science Electrical Engineering (CSEE) Department at UMKC must be provided if the student has taken courses from or worked with the CSEE faculty.
Statement of Goals and Objectives
The applicant must provide a 250- to 500-word essay on his or her goals and objectives of pursuing the Ph.D. in the chosen fields. This is an important document for reviewing the application. Applicants, therefore, are advised to provide a clear account of their academic achievements and plans for higher study.
Admission at an Advanced Level
An applicant who has already completed significant graduate coursework (15 or more semester hours of post-master's work or 30 or more hours of post-bachelor's work) toward a Ph.D. at another institution must provide reasons for changing institutions. The applicant must also provide a letter of endorsement from a computer science doctoral faculty member indicating willingness to be the student's research advisor.
PhD Admission Decision Process
PhD admission decision is made by the CS PhD Committee considering individual doctoral faculty member’s needs and preferences. The role of CS PhD Committee is to ensure that PhD applicants satisfy the minimum requirements (GPA, GRE, TOEFL/IELTS, reputation of prior degree awarding institutes and other scholarly achievements). If the requirements are satisfied and a doctoral faculty member accepts the new applicant only then the CS PhD Committee takes a positive decision about a particular applicant. In rare occasion, we bring exceptionally well-qualified students without the acceptance from a doctoral faculty.
Qualifying Requirements for Full Admission
A Ph.D. student selecting Computer Science (CS) as the primary (coordinating) Ph.D. discipline is expected to have the level of preparation represented by a four-year undergraduate degree in computer science. The applicant may have received a bachelor's degree or a master's degree in computer science, computer engineering, electrical engineering or electronics, or any other related field with substantial training in mathematics. An applicant with only a B.S. degree in computer science must have at least a GPA of 3.5/4.0 and an applicant with at least a year of graduate work must have at least a GPA of 3.5/4.0 before attempting advanced study.
Selection of a Co-Discipline and Suggested Compatible Co-Disciplines
To broaden the knowledge of the PhD students UMKC Interdisciplinary Ph.D. program requires each student to select a co-discipline closely related to the primary discipline. The following are suggested compatible co-disciplines for CS students:
- Telecommunications and computer networking,
- electrical and computer engineering,
- biomedical and health informatics,
- chemistry (computational focus),
- engineering (civil and mechanical focus),
- cell biology and biophysics,
- molecular biology and biochemistry,
- oral and craniofacial sciences,
- pharmaceutical sciences,
A co-discipline outside of this list may be considered only in exceptional cases. These co-disciplines require 3 or 4 courses to be taken by the CS Ph.D. students to fulfill the co-discipline requirements.
· CS Ph.D. students do not need to apply to a Co-Discipline at the time of admission.
· CS Ph.D. students have to select a co-discipline in the first semester after coming to UMKC.
· CS Ph.D. students are advised to consult their primary (CS) adviser to select an appropriate co-discipline.
· CS Ph.D. students can change their co-discipline any time before the comprehensive exam.
Transfer of Course Credit
New Ph.D. students with some prior graduate level course works from another university can apply to transfer up to 6 credit hours in each discipline (primary and co-discipline).
Length of Time to Complete Qualifying Requirements
When a student is admitted provisionally, the CSEE Ph.D. Committee will specify, and the UMKC Interdisciplinary Executive Committee will confirm, the conditions and length of time available to satisfy them to achieve full admission status.
Alternate Admission Criteria
The applicant may have received a bachelor's degree or a master's degree in computer science, computer engineering, electrical engineering or electronics, or any other related field with substantial training in mathematics. An applicant not meeting the minimum admission requirements, or not having sufficient academic preparation (stated below under prerequisite knowledge) for advanced work in the chosen primary discipline(s), may be considered for provisional admission by the CSEE Department Ph.D. committee if the committee sees high potential and preparation for advanced work from the rest of the applicant's credentials. Evidence of high potential might be pertinent work experience, published papers or extremely high achievement in related areas. In any case, the required GPA (or GPAs) must be at least 3.0 on a 4.0 scale, and the coursework deficiencies for doctoral study in computer science must not be more than 18 semester hours. Applicants with an established research or publication record in a quantitative science are encouraged to apply.
Application for an MS Degree while Enrolled in CS Ph.D. Program
CS Ph.D. students may apply to receive an MS degree upon passing the qualifying and comprehensive exams provided that the coursework required for MS degree under course only option is completed. This is a very good option for students in CS Direct Ph.D. Program. However, this is subject to primary Ph.D. supervisor’s approval.
Note: If a CS Ph.D. student fails to pass the Qualifying Exam in two attempts or cannot successfully complete the Comprehensive Exam, the student will not be allowed to apply for transfer to the MS program or apply to receive an MS degree even if the coursework required for MS degree under course-only option is completed. Please consult your CS Ph.D. supervisor and/or CS Ph.D. Discipline Coordinator for details.
Core Program Requirements
The amount of work required for the Ph.D. depends on the student's level of preparation. For example, a student entering the Ph.D. program after earning a bachelor's degree may expect to do significantly more work compared to a student who enters after earning a master's degree.
Computer Science as a Co-Discipline
- Students who choose CS as a co-discipline need to take 3 CS graduate courses (9 credit hours).
- Students who choose CS as a co-discipline do not need to take the CS PhD Qualifying Exam.
- TCN and ECE PhD students are automatically eligible for CS Co-Discipline.
Discipline Course Requirements
The total Interdisciplinary Ph.D. course credit (didactic) requirement is 30 hours which is divided into (a) primary discipline (12 credits), (b) co-discipline (9 credits), and (c) the remaining 9 credits can be completed either by doing graduate level courses at UMKC in any participating discipline or credits can be transferred from students’ previous institutions. This credit transfer must be approved by the CSEE Department Ph.D. committee.
Full-time Status and Doctoral Residency Requirement
US Domestic students can enroll into any number of credit hours per semester during the regular academic year (Fall and Spring). According to US Federal Law, international students are usually required to enroll in 9 credit hours per semester during the regular academic year (Fall and Spring) to maintain fulltime (visa) status. However, for international graduate (PhD and MS) students with 50% FTE (20 hours per week) appointments as Graduate Research/Teaching Assistants the requirement is 6 credit hours of enrolment per semester for full time equivalence. Enrolment is not required in Summer. Interdisciplinary Ph.D. students must satisfy the doctoral residency requirement by satisfactory completion of at least 18 credits in no more than 24 consecutive months.
Various forms of financial aid (such as graduate research assistantships, graduate teaching assistantships, graduate fellowships) are available through the Computer Science Electrical Engineering Department and the School of Graduate Studies. Contact the discipline coordinator for more information. Most of our PhD students are funded through Graduate Research Assistantship (GRA) and/or Graduate Teaching Assistantship (GTA). GRA support is provided by individual doctoral faculty members from their research grants. GTA support comes from Department Chair's instructional fund. However, the GTA support is also provided based on the recommendation of the Ph.D. adviser. Department Chair normally honors the requests for GTA support if there are available GTA slots. Therefore, every PhD student must have a faculty adviser to get funding in the form of GRA or GTA. Once a PhD student is admitted the Department Chair and the doctoral faculty members will try our best to provide funding to the student throughout the PhD study. However, the applicants must keep in mind that the number of funding slots (GRA and GTA) for the PhD students are not unlimited. The supports are provided based on respective faculty adviser's recommendations and Department Chair's needs. The awarding of GRA and GTA funding is a competitive process. The students are required to maintain high academic standing and demonstrate strong research performance to get continuous support throughout the PhD study. Our Department’s policy is to provide support to as many PhD students as possible. Additionally, UMKC School of Graduate Studies provide many different types of fellowships, awards and scholarships to qualified graduate students through a competitive selection process. Please visit the website of the School of Graduate Studies for further details.
- A GTA can only be awarded to a student after the student has successfully demonstrated his or her teaching potential to a committee and has successfully passed the English language test.
- If a student receives financial aid in the form of GTA/GRA from the CSEE Department or its doctoral faculty members after the full admission and enrolment into CS Ph.D. program, the student must complete the doctoral study. If a funded Ph.D. student decides to leave the program at any stage before the completion no terminal MS or equivalent degree will be awarded.
Monthly Stipend for Ph.D. Students with GRA/GTA Appointments
Ph.D. students with 50% FTE (20 hours per week) appointments as GRA/GTA will receive a stipend of around $6000 (subject to availability of funds) per semester during the Fall and Spring semesters. This stipend will be paid in 4 or 5 monthly installments. All GRA/GTA appointments (if awarded) are for one regular academic year (Fall and Spring) for the new students. Beyond the first year, the GRA/GTA supports are subject to availability and performance. There is no guaranteed financial support for the Summer semester.
Tuition Rates and Credits
UMKC offers in-state tuition rate to all (domestic and international) Ph.D. students. Ph.D. students with 50% FTE (20 hours per week) GRA/GTA support from CSEE department will receive a tuition fee coverage of up to 6 credit hours per semester at in-state rate. Therefore, all Ph.D. students (domestic and international) with 50% FTE (20 hours per week) GRA/GTA appointment can maintain fulltime status (6 credit hours per semester) with all tuition fees covered by UMKC and CSEE Department. This tuition fee coverage is in addition to the stipend mentioned above. However, there are some additional fees and expenses that have to be paid by the students at the time of registration. Other Fees and Health Insurance Students are responsible for some additional fees, health insurance, books and supplies, and living cost.
Timeline and Steps Toward the Completion of CS Ph.D. Degree
New Ph.D. students are strongly advised to make a clear plan in consultation with the CS Ph.D. adviser as soon as they start their doctoral study to complete the following steps within the required time line:
- Annual Evaluation: Starting from the second year, every year each Ph.D. student is required to complete an annual evaluation form and forward it to the primary and co-discipline supervisors, who will submit it to the School of Graduate Studies along with the evaluation of the student’s yearly progresses. Link to Graduate School Forms. Due Date for Annual Evaluation: September 30th.
- PhD Qualifying Examination: Students taking an CS Ph.D. Discipline as the primary (coordinating) unit should make the first attempt to pass the qualifying exam during the first three (3) regular semesters after fully admitted to the doctoral study at UMKC. The student must pass both parts of the qualifying exam within four (4) regular semesters. Summer term in not counted.
- Plan of Study: The Ph.D. Plan of Study from, signed by the student, members of the student’s proposed Supervisory Committee, and the Academic Administrators in the student’s disciplines, must be filed with the School of Graduate Studies no later than the end of the second year (24 months) after the student has been fully admitted. The Interdisciplinary Ph.D. Plan of Study may be filed prior to that time. Link to Graduate School Forms.
- Formation of Ph.D. Supervisory Committee: The Supervisory Committee shall consist of at least five members composed of one doctoral faculty from each of the primary and co-disciplines, with a maximum of three from any one discipline. Regarding the formation of the committee the student should consult the primary (CS) Ph.D. supervisor, who will be the Chair of the Committee. Names and signatures of the committee members have to be submitted with the Plan of Study.
- Fulfilling PhD Residency Requirement: Ph.D. students must satisfy the doctoral residency requirement by satisfactory completion of at least 18 credits in no more than 24 consecutive months.
- Comprehensive Examination: The format and general requirements for the comprehensive exam vary according to the Ph.D. discipline. The Comprehensive Exam is administered by the candidate’s doctoral committee. A student can either take a written test or opt for an oral presentation covering both coordinating and co-discipline areas. Discussion with and agreement from the student’s doctoral committee is required before choosing the best option. Candidates should contact the CSEE Department's office and the chair of their doctoral committee for more information. Link to Graduate School Forms.
CS Ph.D. discipline usually requires the students to make a formal presentation on the background study, current progresses and future plans regarding the selected research problems for doctoral study. CS students can take the comprehensive exam any time after passing CS Ph.D. Qualifying Exam and the approval of the Plan of Study by the School of Graduate Studies.
- Interdisciplinary Ph.D. Research Proposal: After the completion of the Comprehensive Exam each Ph.D. student must submit a written Research Proposal to the School of Graduate Studies. Link to Graduate School Forms.
- Doctoral Dissertation: The format and general requirements for the Doctoral Dissertation exam vary according to the discipline. CS Ph.D. discipline requires the students to make a formal presentation on the outcomes of the doctoral research in front of the committee members. CS comprehensive exam and dissertation defense presentations are open to all students and faculty members. In addition, it is recommended that students submit a draft copy of the thesis to the committee members prior to the presentation. The defense of the dissertation is approved when a majority of the supervisory committee members recommend approval and sign the Report of Results of Final Dissertation Examination form. Students can schedule Dissertation Defense six months after the comprehensive exam. Link to Graduate School Forms.
- Final Thesis Submission: After the successful completion of the Dissertation Defense, Ph.D. students must formally submit their Ph.D. thesis according to the format and instructions of the School of Graduate Studies. Link to Graduate School Forms.
- Ph.D. students are allowed to apply for extensions/exceptions/changes under exceptional circumstances.
- Part-time Ph.D. students may apply for flexibility of the timeline regarding the above-mentioned steps.
- Students are advised to regularly check the updates and modifications by the Schools of Graduate Studies.
Ph.D. Qualifying Exam for Computer Science Discipline
The qualifying exam is conducted to confirm that the student has a sound understanding of the fundamentals of computer science and has developed good problem-solving skills and research potential. This document includes the syllabus and describes the procedure for taking the qualifying exam in the Computer Science discipline.
The student must be fully admitted to the Ph. D program at UMKC. Students admitted provisionally will have to satisfy all requirements stipulated in the letter of admission before being fully admitted.
Duration for Clearing Qualifying Exam
Both full-time and part-time students must take the Ph.D. qualifying exam by the third semester from the date he or she is fully admitted. For example, if a student is fully admitted in the Fall 2015 semester, then he or she must take the qualifying exam by the Fall 2016 semester. Failure to do so will disqualify the student from continuing in the Ph.D. program. Upon consultation with his/her interim adviser, a student may choose to take the qualifying exam earlier than the third semester. If a student fails the qualifying exam in the first attempt then he or she MUST retake it in the subsequent semester. Failure to clear the exam in the second attempt disqualifies the student from remaining in the Ph.D. program with Computer Science as the primary discipline.
Qualifying Exam Dates
Qualifying tests are administered twice a year, on the first Friday (Written Exam) and the second Friday (Oral Exam) of April and November.
Qualifying Exam Procedure
1. Registration: Eligible Ph.D. students must register to take the exam. The registration deadline is March 31 for the April exam and October 31 for the November exam. Eligible students should send an e-mail with the following information to the Student Services Coordinator and the Discipline Coordinator.
2. Registration Notification: Students will be notified by e-mail.
3. Taking the Exam: Students take the test on the prescribed date.
The qualifying examination consists of two parts: a written part and an oral part. Students only have two attempts to pass the written part. The oral part may not be attempted unless the written part has been passed.
Written Qualifying Examination
A full-day written examination will be given at the exam date. The written examination will cover the following topics: Data Structures and Algorithms, Operating Systems. A student will answer a set of questions from each topic as indicated on the exam.
Oral Qualifying Examination
Approximately one to two weeks after the written examination, an oral examination will be given. This exam requires that all members of the committee be present and is open to all members of the faculty and students. The exam will be administered by the CS discipline coordinator. First, this exam will be prepared by the members of the doctoral committee at the request of the student’s primary advisor by identifying a set of published manuscripts relevant to the student’s area of advanced study. These manuscripts will be given to the student in the form of a take-home examination at least one week ahead of time. The student will prepare a written summary of the published manuscripts. The contents of the summary are presented to the doctoral committee and the student is questioned about the material. A significant part of the summary and presentation should be a description of the technical gaps in the previous work and the identification of possible research projects that address these gaps. The examination committee will evaluate the written summary, the oral presentation, and the student’s answers.
The written qualifying exam will contain questions from the topics listed below. The questions will be based on the material typically taught in the specified undergraduate and graduate courses. The students must have a sound understanding of these topics and are expected to demonstrate this in their answers.
2. Operating Systems (Based on COMP-SCI 431)
Ph.D. Qualifying Written Exam Syllabus
The syllabus lists the main topics in each area. Students are strongly advised to consult the listed textbooks to prepare for the exam.
1. Data Structures and Algorithms
Basic knowledge of algorithm complexity (Big-Oh, Big-Omega, Big Theta, best, worst, and average case analysis, etc.), Binary trees, Binary search trees, AVL trees, Heaps, B-trees, B+ trees, Graphs, Hashing (Static, Dynamic, and Extendible), Huffman codes, Divide-and-conquer, Searching, Sorting, In-order, Pre-order, and Post-order traversals, Breadth first, Depth first graph traversal), Spanning trees and Shortest path. Divide and Conquer method, Dynamic programming, Greedy algorithms, Depth-first and Breadth-first search, Shortest path algorithms, Minimum spanning trees, NP-completeness.
o Data Structures and Algorithm Analysis in C++ by Mark Allen Weiss, Addison Wesley.
o A Practical Introduction to Data Structures and Algorithm Analysis by Clifford A. Shaffer, Prentice Hall.
o Introduction to Algorithms. 2nd Edition, by T.H. Corman, C.E. Leiserson, R. L. Rivest, C. Stein. McGraw Hill.
o The Design and Analysis of Computer Algorithms, by A.V. Aho, J.E. Hopcroft, J.D. Ullman. Addison-Wesley.
2. Operating Systems
Process management (synchronization, concurrency, deadlock), Memory management, Process and Job scheduling, Performance models (expected behavior), File systems, and IO..
o Operating System Concepts by Silberschatz and Galvin, John Wiley.
o Modern Operating Systems by Andrew Tanenbaum, Prentice Hall
After the exam, the committee will cast votes of pass or fail on both the oral and written exams. The minimum passing grade is 70%. Borderline cases will be discussed by the committee. These results are recorded on the Report of the Written and Oral Qualifying Examination form. The Discipline Coordinator will make the result of the exam available within two weeks from the date of the exam.
The result could be one of the following.
1. Pass: The student proceeds to the next level of the Ph.D. curriculum. He or she prepares the plan of study and finalizes the composition of his or her supervisory committee. The plan is submitted to the graduate office for approval.
2. Fail: If a student fails then he/she must retake and clear the exam in the subsequent semester. Failure to clear the exam in the second attempt disqualifies the student from remaining in the Ph.D. program with CS as the primary discipline.