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Program checklist · Master of Science

Master of Science in Computational Mathematics & Statistics

Duquesne University · Pittsburgh, PA

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
Master of Science
Credential class
ceterms:MasterDegree
CIP
27.0303
Credits (computed from items)
186
Catalog edition
2023-2024
Checklist type
degree-program
Identifiers
IPEDS UNITID
212106
CourseShelf checklist
CK_212106_13dbea8a
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Curriculum

1 item
  1. Requirements Core Electives Internship Thesis/Project Computational Component BS/MS Degree
    Not resolved to a course

Requirements

19 items
  1. Requirements for the MS Program
    Not resolved to a course
  2. The MS in Computational Mathematics & Statistics is a multidisciplinary program. With
    Not resolved to a course
  3. a total of 36 credits, this program combines the expertise and resources from the
    Not resolved to a course
    36
  4. Department of Mathematics and Computer Science, drawing on the strengths of mathematics,
    Not resolved to a course
  5. computer science, and statistics. Benefit from our faculty's commitment to teaching
    Not resolved to a course
  6. and their active research programs in computational fields, which often transcend
    Not resolved to a course
  7. Additional Information:
    Not resolved to a course
  8. As part of the Computational Mathematics & Statistics program, students have the flexibility
    Not resolved to a course
  9. to enhance their education through the following options, subject to approval by the
    Not resolved to a course
  10. program director:
    Not resolved to a course
  11. Taking graduate courses outside the program: With the program director's consent,
    Not resolved to a course
  12. students can enroll in graduate courses offered by other departments within Duquesne
    Not resolved to a course
  13. University. Furthermore, students have the opportunity to cross-register at renowned
    Not resolved to a course
  14. Independent study: Students have the option to engage in an independent study under
    Not resolved to a course
  15. the guidance and evaluation of a faculty member. This personalized educational experience
    Not resolved to a course
  16. allows students to delve into material that may have been previously offered as a
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  17. course but is not expected to be available again before the student completes the
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  18. These additional opportunities expand the academic horizons of students in the Computational
    Not resolved to a course
  19. Mathematics & Statistics program, enabling them to explore interdisciplinary coursework
    Not resolved to a course

Core Requirements

2 items
  1. MATH 301
    MATH 301, or equivalent knowledge)
    Not resolved to a course
  2. COSC 160
    COSC 160, or equivalent knowledge)
    Not resolved to a course

Elective Requirements

4 items
  1. Every semester, a diverse range of elective courses is available in the fields of
    Not resolved to a course
  2. mathematics, statistics, and computer science. The selection of electives takes into
    Not resolved to a course
  3. Notably, all elective courses emphasize the integration of computational methods,
    Not resolved to a course
  4. providing students with valuable hands-on experience in applying computational techniques
    Not resolved to a course

Electives:

61 items
  1. ◦ CPMA 550 Computer Networks
    Not resolved to a course
  2. ◦ CPMA 555 Web-based Systems
    Not resolved to a course
  3. ◦ CPMA 560 Algorithms/Graph Theory
    Not resolved to a course
  4. ◦ CPMA 563 Numerical Differential Equations
    Not resolved to a course
  5. ◦ CPMA 566 Operations Research
    Not resolved to a course
  6. ◦ CPMA 573 Statistical Computing
    Not resolved to a course
  7. ◦ CPMA 574 Prediction and Classification Modeling
    Not resolved to a course
  8. ◦ CPMA 575 Data Mining and Data Science Analytics
    Not resolved to a course
  9. ◦ CPMA 580 Artificial Intelligence/Cognitive Science
    Not resolved to a course
  10. ◦ CPMA 582 Machine Learning
    Not resolved to a course
  11. ◦ CPMA 590 Advanced Operating Systems (FA20)
    Not resolved to a course
  12. ◦ CPMA 590 Data Compression (SP21)
    Not resolved to a course
  13. ◦ CPMA 591 Database Management Systems (FA20)
    Not resolved to a course
  14. The Computational Mathematics & Statistics program places a strong emphasis on real-life
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  15. problem-solving and practical experiences. As part of this commitment, all students
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  16. are required to register for and successfully complete CPMA 599 Internship. The internship
    Not resolved to a course
  17. requirement can be satisfied through two options: prior or current employment experience
    Not resolved to a course
  18. related to computational mathematics, or a supervised internship in a position that
    Not resolved to a course
  19. To fulfill the requirement, students must provide a supervisor's written report verifying
    Not resolved to a course
  20. their employment experience or supervised internship, which will then be reviewed
    Not resolved to a course
  21. and approved by the program director. Students who wish to fulfill the requirement
    Not resolved to a course
  22. without receiving elective credit toward their degree can register for zero credits
    Not resolved to a course
  23. of CPMA 599. For the zero-credit course, a Pass grade is earned by accumulating a
    Not resolved to a course
  24. Alternatively, students can register for up to three credits of CPMA 599 per semester,
    Not resolved to a course
  25. with a maximum of six credits overall, if they have or anticipate having experience
    Not resolved to a course
  26. beyond the minimum 40-hour requirement. This allows students to further deepen their
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  27. By incorporating the internship component, the Computational Mathematics & Statistics
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  28. program ensures that students gain valuable real-world exposure, strengthening their
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  29. Under the guidance and approval of a Computational Mathematics & Statistics faculty
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  30. advisor, first reader, and the Graduate Studies Committee, students have the option
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  31. to undertake a thesis or project as part of their degree. This endeavor carries six
    Not resolved to a course
  32. credits, contributing towards the total of 36 credits required for graduation. Tailored
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    36
  33. to the student's background and interests, this phase of the program allows for the
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  34. The culmination of the thesis or project involves both written documentation and oral
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  35. Computational Component
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  36. In the M.S. in Computational Mathematics & Statistics program, nearly all courses
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  37. integrate a computational component that necessitates the utilization of discipline-specific
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  38. tools. While these tools evolve continuously in the rapidly advancing fields, some
    Not resolved to a course
  39. common examples include: • Mathematics: Maple, MATLAB® • Computer Science: Python,
    Not resolved to a course
  40. C++, Linux, Windows • Statistics: SAS®, R, JMP®, SPSS® Through the application of
    Not resolved to a course
  41. these tools, students gain hands-on experience and proficiency in employing the appropriate
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  42. BS/MS Degree
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  43. BS/MS Degree Program
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  44. The Mathematics and Computer Science Department adheres to University policy by offering
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  45. a combined B.S./M.S. program tailored to academically-strong majors. Students admitted
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  46. to this program have the unique opportunity to apply graduate credits earned during
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  47. their undergraduate studies towards the requirements of both their B.S. degree and
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  48. the Computational Mathematics & Statistics M.S. degree. Upon completing the B.S. degree,
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  49. a portion or all of these graduate credits can potentially be applied towards the
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  50. To earn both the B.S. and M.S. degrees, students must accumulate a minimum of 156
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  51. credits, with at least 36 of those credits being graduate-level (500-level or above)
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  52. courses that fulfill the requirements of the Computational Mathematics & Statistics
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  53. master's program. Of these 36 graduate credits, a maximum of 15 can be taken during
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  54. the student's undergraduate years. Additionally, a minimum of 114 credits earned for
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    114
  55. the B.S. must be undergraduate credits (400-level or below). Admitted students must
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  56. closely collaborate with their undergraduate advisor and the program director to ensure
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  57. By participating in the combined B.S./M.S. program, students can optimize their academic
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  58. journey, accelerate their progress towards an advanced degree, and gain a competitive
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  59. 600 Forbes Avenue
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  60. Pittsburgh, PA 15282
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  61. Information For
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Source. Duquesne University, catalog 2023-2024 — https://duq.edu/academics/university-catalogs/2023-2024-catalog/graduate/academic-programs/science/computational-math-stats.php. Captured page pages/0881.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.