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Statistics BS

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Computing, Informatics & Data ScienceUndergraduateBS

General

Admission

Graduation

Requirements

Degree Maps

Learning Outcomes

Degree Map

This is a recommended course sequence based on the current University Catalog for this degree and illustrates how the degree could be completed. Actual plans for individual students will vary based on transfer credits, semester start, advisor recommendations and academic needs.

The degree map does not substitute for professional advising. Review your degree audit report and see your advisor each semester.

Degree Emphases (must select one)

Data Analytics (DA) Concentration (21 credits)

  • Electives: Complete 6 credits of 300- or 400 level STAT courses, excluding STAT 353.

  • Application Area: (15+ credits) Students must complete a minor or second major.

Data Science (DS) Concentration (22 credits)

  • Concentration Courses (19 credits) take all of MATH 221 (Goal 4), MATH 312, CSCI 201, and SE 413

  • Electives: Complete 3 credits of 300- or 400 level STAT courses, excluding STAT 353.

Be Advised

  1. MATH 221 and STAT 239 both satisfy Goal Area 4 of the SCSU Liberal Education program.

  2. A grade of C- or better in each program course is required for graduation.

  3. All SCSU students must complete a minimum of 120 credits to graduate.

  4. All SCSU students must have at least 40 credits of 300/400 level courses to graduate.

  5. All SCSU students must complete a minimum of 40 credits of Liberal Education courses AND meet the requirements of all 10 goal areas, including RIGR and Diversity.

  6. Apply for graduation one semester before you plan to graduate.

67 - 90
5 - 9
Requirements
  • - -  -
    OR
    - -  -
    OR
    STAT 239 fulfills Goal 4 and program requirements
  • - -  -
  • - -  -
    OR
    MATH 221 fulfills Goal 4 and program requirements
    OR
    MATH 221 is for Data Science Concentration Students Only
  • Goal Areas(5 - 9 cr)
67 - 90
9 - 12
Requirements
  • - -  -
  • - -  -
  • Goal Areas or University Electives(6 - 9 cr)
  • Minor or Second Major Course (DA)(3 cr)
67 - 90
0
Requirements
67 - 90
7 - 9
Requirements
  • - -  -
  • - -  -
    OR
    - -  -
  • - -  -
    OR
    CSCI201 is for Data Science Concentration Only
  • Goal Areas or University Electives(4 - 6 cr)
  • Minor or Second Major Course (DA)(3 cr)
67 - 90
8 - 9
Requirements
  • - -  -
  • - -  -
  • - -  -
    OR
    CSCI301 is for Data Science Concentration Only
  • Goal Areas or University Electives(5 - 6 cr)
  • Minor or Second Major Course (DA)(3 cr)
67 - 90
0
Requirements
67 - 90
5 - 9
Requirements
  • - -  -
  • - -  -
  • - -  -
    OR
    MATH 312 is for Data Science Concentration Only
  • STAT Elective (DA)(3 cr)
  • Goal Areas or University Electives(2 - 6 cr)
67 - 90
12
Requirements
  • - -  -
  • - -  -
    OR
    SE413 is for data science concentration only
  • Goal Areas or University Electives(9 cr)
  • Minor or Second Major Course (DA)(3 cr)
67 - 90
0
Requirements
67 - 90
12 - 18
Requirements
  • - -  -
  • STAT Elective (DA)(3 cr)
  • Goal Area or University Electives(6 - 12 cr)
  • Minor or Second Major Course (DA)(3 cr)
67 - 90
9 - 12
Requirements
  • - -  -
  • Goal Areas or University Electives(9 - 12 cr)
67 - 90
0
Requirements