Data Science

About the Program

Computational Methods Concentration

Curriculum Requirements

Introductory Courses

No Introductory Course may be substituted for any other course at any level.

Introductory courses may be waived for any of the following conditions based on faculty review:

  • The student has the appropriate course work to satisfy an Introductory Course based on an official transcript review by faculty and successful grades, typically B or better.
  • The student has appropriate and verified professional experience to satisfy an Introductory Course which is demonstrated through successful completion of a GAE exam.
  • If a Graduate Assessment Examination (GAE) is available for the Introductory Courses, upon successfully completion of a GAE, a waiver will be issued.
  • Plan accordingly prior to start of the term, faculty reviews for possible course waivers can take a few weeks. For newly admitted students, possible course waivers will not be initiated until an Intent to Enroll form has been submitted.
  • CSC 401
  • CSC 412
  • IT 403

Foundation Courses

  • DSC 441
  • DSC 430
  • DSC 465
  • DSC 450
  • DSC 445
  • CSC 483
  • CSC 484

Advanced Courses

  • CSC 555
  • DSC 478

Select one of the following:

  • CSC 481
  • CSC 521
  • CSC 575
  • DSC 424

Elective Courses

Students must select four (4) credit hours of graduate-level elective courses. Students must choose electives from the following list of courses:

  • Advanced Data Analysis and Algorithms
    • CSC 468
    • CSC 521
    • CSC 595
    • DSC 424
    • DSC 425
    • MAT 424
    • MAT 425
    • MAT 426
    • MAT 427
    • MAT 451
    • MAT 488
  • Visualization and Image Analysis
    • CSC 481
    • CSC 482
    • CSC 528
    • CSC 543
    • GEO 441
    • GEO 442
    • HCI 512
  • Machine Learning and Ai
    • CSC 577
    • CSC 578
    • CSC 580
    • CSC 583
    • CSC 594
    • DSC 478
    • DSC 545
    • SE 489
  • Databases and Data Management
    • CSC 452
    • CSC 575
    • DSC 484
    • IS 549
    • IS 550
  • Applications
    • CMNS 549
    • CSC 576
    • CSC 598
    • DSC 480
    • DSC 510
    • IS 478
    • IS 574
    • MGT 559
    • MGT 798
    • MKT 534
    • MKT 555
    • MKT 560
    • MKT 595
    • MKT 798

Capstone Options

Four (4) credit hours are required for the capstone requirement. Students have the option of completing a real world Data Analytics Project, or completing the Data Science Capstone course, or participating in a Data Analytics Internship or completing a Master's Thesis to fulfill their Capstone requirement.

  • Data Analytics Project

  • Data Science Capstone course

  • Analytics Internship

  • Master's Thesis







Degree Requirements

Students in this degree program must meet the following requirements:

  • Complete a minimum of 48 graduate credit hours in addition to any required introductory courses of the designated degree program.
  • Complete all graduate courses and requirements listed in the designated degree program.
  • Earn a grade of C- or better in all courses of the designated program.
  • Maintain a cumulative GPA of 2.5 or higher.
  • Students pursuing a second (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.
  • Students pursuing a second master's degree must complete a minimum of 48 graduate credit hours beyond their first designated degree program in addition to any required introductory courses in their second designated degree program.

Students with a GPA of 3.9 or higher will graduate with distinction.

For DePaul's policy on repeat graduate courses and a complete list of academic policies see the DePaul Graduate Handbook in the Course Catalog.