Departments & Programs
Department of Computer and Information Science
Graduate Programs
Master of Science
This program leads to a Master of Science degree from Purdue University.
Programs of Study
The Department offers three programs within its M.S. program: the Research program, the Applied Program, and the Course Only option.
Research Program
The objective of the Research Program is to help students develop a general knowledge of computer science, depth in a specific area, and an ability to do independent research. The student learns research techniques by working in close cooperation with a faculty member while doing the thesis research. in addition to the two core courses and 6 to 9 credit hours of CSCI 69800 M.S. Thesis work, the student completes a sufficient number of electives from the department's graduate level courses to satisfy the requirement of 30 credit hours total.
Applied Program
The objective of the Applied Program is to develop skills and knowledge of the computer science fundamentals and an ability to apply these to practical problems. In addition to the two core courses, it requires at least two courses in a specialization, 3 to 6 credits of work in the M.S. Project course, CSCI 69500, and a sufficient number of electives from the department's graduate courses to complete the requirement of 30 credit hours. The course work is designed to provide breadth of knowledge to the professional as well as specialized knowledge in the areas that the project will require. The project normally involves at least two semesters of intensive work on an application of the course material to a problem of practical importance. This might be a project from the student's work environment, internship, or a faculty member's work. Its objective is generally more immediately practical than the thesis in the Research Program. The student carries out the project under the supervision of a faculty member.
The Applied Program offers a menu of courses from which the individual selects one or more specializations to prepare for the proposed project. To define a specialization, the graduate advisor and student identify in the plan of study two or more courses that provide depth in a cohesive theme.
Course Only Option
The Course Only option is meant for students who desire practical knowledge and skills in a range of specializations in computer science. It offers a menu of courses from which the individual selects one or more specializations to define a concentration area. The program provides both depth and breadth of knowledge in the discipline and is ideal for students who are not planning careers exclusively in research.
Application for Admission
Submit applications for admission to the graduate program directly to the Department of Computer and Information Science by April 1 for the following Fall semester and September 15 for the following Spring semester. To be considered for the University Fellowship award for the following Fall semester, all application materials must be received by January 15.
Students interested in advanced study or students who are required to complete preparatory courses and are waiting on application processing may take courses as graduate non-degree students. No more than 12 graduate credit hours earned as a nondegree student may be counted toward a graduate degree program.
See the department’s Web site (https://science.iupui.edu/cs/) for additional information on requirements and application deadlines.
General Admission Requirements
Applicants to the graduate program must have a four-year bachelor’s degree or equivalent. Interested students with 3-year bachelor's degrees should contact the department for information.
The applicant’s record should demonstrate strong individual accomplishments, include recommendations from independent references and exhibit outstanding achievement as indicated by the grade point average for each degree over his or her entire academic record. An applicant is expected to have a GPA of at least a 3.0 on a scale of 4.0.
The Graduate Record Exam (GRE) General Test is not required for applicants to the Computer Science MS or Computational Data Science MS programs, though applicants are still strongly encouraged to submit scores. All applicants to the Computer Science Ph.D. program are required to submit GRE scores, however there is no specific minimum score requirement that must be met.
All applicants should have a background in the following core areas of computer science:
- software development experience in a high-level language
- data structures and algorithms
- systems (operating systems, compilers, and programming languages)
- theory (discrete math and theory of computation)
- hardware (computer architecture)
In addition, applicants should have a strong background in mathematics, including calculus, linear algebra, and numerical computations.
All applicants whose native language is not English must submit sufficient proof of English proficiency via either TOEFL or IELTS test. For TOEFL, applicants must have an overall score of at least 80 on the Internet Based Test (iBT) with section minimums of 19 Reading, 14 Listening, and 18 Speaking & Writing. TOEFL scores must be from a single test occurrence; "MyBest" scores are not accepted. For IELTS (Academic test only), applicants must have an overall band score of 6.5, with section minimums of 6.5 Reading, 6.0 Listening & Speaking and 5.5 Writing.
International applicants who have received a degree in the U.S. are exempted from the TOEFL/IELTS requirement only if the degree was awarded within the last 3 years.
Degree Requirements
To receive the Master of Science degree, the applicant must be admitted as a graduate student without provisions and complete 30 semester credit hours of study in CSCI courses numbered 500 or above. Of the 30 required hours, students must select 1 course each from 4 different "foundational" categories for a total of 12 credit hours. There are 6 categories from which to select the 4, as listed below:
- Networking and Security -- CSCI 53300, CSCI 53600, CSCI 55500
- Databases and Intelligent Systems -- CSCI 54100, CSCI 54900, CSCI 57300, CSCI 57800
- Visualization and Graphics -- CSCI 55000, CSCI 55200, CSCI 55700
- Software Engineering -- CSCI 50600, CSCI 50700, CSCI 50900
- Theory -- CSCI 52000, CSCI 56500, CSCI 58000
- Systems -- CSCI 50200, CSCI 50300, CSCI 50400, CSCI 53200, CSCI 53700
Each student is required to submit to the graduate committee for approval an initial plan of study during the first year in the program. This is prepared in consultation with the faculty advisor. Before the semester of expected graduation, the student’s formal plan of study must be submitted to, and accepted by, Purdue University's Graduate School. Each student must register in CAND 99100 and at least 1 credit hour of a fee-bearing course during the final semester before graduation.
Credit for Courses from Outside the Department
Credit for graduate courses taken at other institutions may be transferred with the approval of the graduate committee and the Graduate School if the courses have not been used for other degree requirements. Transfer credits are normally limited to 6 credit hours and are restricted to courses in which the grade is B or higher. Non-departmental courses are limited to 3 credits (1 course) for course-only students, selected from a pre-approved list. Up to 3 additional credits (for a total of 6) may be allowed for MS Thesis or MS Project students for courses related to research area; prior approval of the Advisory and Graduate Committees are required for registration.
Assessment
The student’s graduate examination committee will examine the student’s project or thesis and general proficiency in computer science. Grades of A and B are expected; up to 6 credit hours of C or C+ may be included, provided an overall GPA of 3.0 (B) is maintained. Other grades are unacceptable.
Master of Science in Computational Data Science
This degree program is offered through the Departments of Computer & Information Science and Mathematical Sciences of the IUPUI School of Science. The objective of the program is to prepare students to enter the workforce in the rapidly advancing field of data science, an interdisciplinary domain that cuts across computer science and statistics, by providing a solid, comprehensive background in the related topics of theory and their applications.
This program will provide the skills necessary that will enable students to be flexible and competitive in today's job market by gaining deep understanding of theory, implementation (e.g., algorithms and appropriate computing languages), as well as the inherent "nature" of different data modalities, such as classification and prediction challenges on specific data (e.g., sparse and/or incomplete data).
Curriculum Requirements
The curriculum requires 30 credits in total that can be completed in three semesters. There are 9 credits for core courses in Computer Science, 6 credits for Statistics core courses, 12 credits for elective courses from Computer Science and/or Statistics, and 3 credits for the capstone course. Students must choose two electives from Computer Science and two electives from Statistics.
Successful completion of the program requires a minimum plan of study GPA of 3.0, and the minimum grade acceptable in any course is C. Students can count a maximum of 2 grades of C or C+ combined, as long as the 3.0 minimum GPA is maintained.
The course sequence is crucial for successful completion of this program. Students should consult with the departmental advisor for questions regarding course sequencing.
General Admission Requirements for MS in Computational Data Science
Prerequisite coursework and/or degrees:
4-year Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or related fields. 4-year Bachelor's degree in any other area of study will be considered on a case-by-case basis, based on the coursework and corresponding grades in the applicant's transcripts, as well as on the overall potential of successfully completing this program.
GPA: Entering students are expected to have a minimum cumlative grade point average (GPA) equivalent to at least 3.00 on a 4.00 scale
GRE: GRE scores are not required for applicants to the Computational Data Science MS program, however all applicants are still strongly encouraged to submit scores.
All applicants whose native language is not English must submit sufficient proof of English proficiency via either TOEFL or IELTS test. For TOEFL, applicants must have an overall score of at least 80 on the Internet Based Test (iBT) with section minimums of 19 Reading, 14 Listening, and 18 Speaking & Writing. TOEFL scores must be from a single test occurrence; "MyBest" scores are not accepted. For IELTS (Academic test only), applicants must have an overall band score of 6.5, with section minimums of 6.5 Reading, 6.0 Listening & Speaking and 5.5 Writing.
International applicants who have received a degree in the U.S. are exempted from the TOEFL/IELTS requirement only if the degree was awarded within the last 3 years.
Doctor of Philosophy
Students interested in research in certain areas and who qualify may be admitted to pursue a Ph.D. degree. Information on the general nature of the program appears in the “Graduate Programs” section of the School of Science part of this bulletin. Consult the department’s Web page (https://science.iupui.edu/cs/) for more specific information on how this might be arranged.
Research Orientation Requirement
Students in their first year must take a 1-credit Pass/Fail seminar course (CSCI-C591) and, as part of this course, they must also complete the "Physical Science Responsible Conduct of Research" course online and provide the certificate of completion.
Core Course Requirement
Students must satisfy this requirement by the end of their fourth semester by passing one theory core course and one systems core course and one course in an area of specialization with an average GPA of at least 3.5. A core course that does not meet the grade and GPA requirements can be taken, at most, a second time. Taking another course (in the same core area or in the same specialization area, or taking a course in another specialization area) would count as the second attempt. The second attempt at satisfying the core course qualifications will be considered a probationary period for the student to remedy the shortcoming. Students must declare the area of specialization ahead of time with the approval of their advisory committee. The students who have not satisfied their core course requirements by the end of their fourth semester according to the conditions described above cannot proceed further in their PhD studies. They will need to contact their advisor and their advisory committee. The students will receive a letter of probation during their second attempt at completing a core course. The students will be informed that they can be dismissed if they fail to be removed from probation.
The core courses and areas of specialization are defined as follows:
- Theory core courses: CSCI 58000 (Algorithms) and CSCI 56500 (Programming Languages)
- Systems core courses: CSCI 50300 (Operating Systems), CSCI 50400 (Computer Architecture)
- Area Specialization courses:
- Visualization, Image Processing and Machine Vision: CSCI 55000, CSCI 55200, CSCI 55700, CSCI 55800
- Data Communication and Networking: CSCI 53300, CSCI 53600
- Distributed Computing: CSCI 53200, CSCI 53700
- AI, Machine Learning, and Data Analysis: CSCI 54900, CSCI 57300, CSCI 57800
- Databases: CSCI 54100
- Software Engineering: CSCI 50600, CSCI 50700, CSCI 50900
- Security: CSCI 55500, CSCI 57500
Students who are admitted into the program with deficiencies in CS background (because their degrees are in another discipline) must prove that the deficiencies are eliminated by the end of their qualifying process. The areas (as described in the admissions requirements) are Data Structures, Computer Architecture, and Operating Systems.
Plan of Study
- Advisory committee: Advisor + 2 or more other faculty. The students must form their advisory committee by the end of their first year.
- Overall course requirement: at least nine graduate level courses (including the two core and one specialization courses) with GPA>= 3.3. Other courses need to be 500 or 600 level courses.
- A student receiving a grade lower than a B- in a course on the plan of study will have to repeat or replace the course. If a course is repeated, only the most recent grade, even if lower, is used to compute the current GPA.
- Policy for transferring courses from MS degree:
- The MS courses taken in the department as part of the MS degree within the department count towards Ph.D. course requirements.
- For students with graduate courses from another institution, the faculty will consider approving the transfer of up to 30 credits of graduate level courses from other institutions upon petition by the student. The faculty will require a copy of the syllabus for each course considered for transfer and decisions will be made on a case-by-case basis. Final approval of the course transfers will be made by the IUPUI Graduate Office. The courses on the plan of study cannot have been used to satisfy requirements for an undergraduate degree nor can they cause the student's doctoral plan of study to include courses from more than one master's program.
Preliminary Exam
- Students must pass a preliminary examination that tests competence in the student's research area and readiness for research on a specific problem. The content of the examination is at the discretion of the examining committee. Typically, the examination includes a proposal of thesis research, the student's preliminary research results, an oral presentation by the student on his/her thesis proposal, and any other relevant material if requested by the examining committee. The form and content of the examination will be determined by the examination committee and will be communicated to the student by the committee chair, which normally is the student's advisor.
- The examining committee consists of the student's Advisory Committee, and of an additional member, who is not on the advisory committee, who is determined by the Graduate Committee Chair.
- The examination must be taken at least two semesters before the final examination of the thesis. It is advised, however, that the student take the preliminary exam by the end of the third semester following the one in which the student completes the qualifying process.
Thesis and Final Exam/Defense
- The thesis must present new results worthy of publication.
- The student must defend the thesis publicly and to the satisfaction of the Examining Committee.
- The Examining Committee consists of the Advisory Committee and one additional faculty member representing an area outside that of the thesis and who is assigned by the Graduate Committee Chair.
- The students can only defend their thesis after at least two semesters following the completion of the preliminary exam. The thesis defense should be completed by the end of the fourth semester following the one in which the student passes the preliminary examination. The Graduate Committee may grant extensions.
Annual Reviews
Each doctoral student's academic and research progress is evaluated annually by their advisory committee. Students receive written feedback and guidance to support their progress.
Computer and Information Science Ph.D. Minor
The objective of this minor is to provide an opportunity for current Indiana University doctoral students in other disciplines at IUPUI to learn and use computer science techniques and tools to solve problems in their academic fields.
Eligibility
If you are enrolled in any Indiana University doctoral program at IUPUI, you may apply for this Ph.D. minor.
You are required to have a background in computer science of at least CSCI 36200 - Data Structures, or an equivalent course. Please contact our graduate advisor for permission to register for courses.
Requirements
The minor will require coursework totaling 12 graduate credit hours at the 500 level or above. These must include one 3-credit hour core course, and three elective computer science courses. Additional courses at the 500 level or above may be substituted for elective courses, with advance approval.
Core courses
- CSCI 50300 - Operating Systems
- CSCI 56500 - Programming Languages
- CSCI 58000 - Algorithm Design, Analysis, and Implementation
Elective courses
- CSCI 50600 - Management of the Software Development Process
- CSCI 54100 - Database Systems
- CSCI 54900 - Intelligent Systems
- CSCI 55000 - Computer Graphics
- CSCI 55200 - Advanced Graphics & Visualization
- CSCI 55500 - Cryptography
- CSCI 57300 - Data Mining
Minimum overall GPA
Successful completion of the minor requires at least a B (3.0) average over all courses counting toward the minor. The minimum grade that will be accepted in any single course is C. If you receive a C- or below, you must repeat the course.
Maximum number of transferable credits
If you have earned credits for one or more of the equivalent courses from another institution, you may request to apply up to a maximum of three credits toward the minor.
Maximum time for completion
All requirements for the minor must be completed within four calendar years.
Allowable credit hours prior to admission
Up to six equivalent credit hours taken prior to admission into the minor program may be applied toward the minor. Up to three of these may be from another institution.
For inquiries about the Ph.D. minor, please contact our graduate advisor or email csgrad@iupui.edu.
