| |
Nov 22, 2024
|
|
|
|
|
2018 Undergraduate Catalog [ARCHIVED CATALOG]
Big Data and Business Analytics, BSBA (46-640) (4 Year Guide)
|
|
This guide is valid for this Undergraduate Catalog only and is subject to change. This guide is a recommendation only and your actual program may vary. The time it takes to complete a degree and the sequence in which courses are taken will depend on any credits transferred to UCM and on placement in math and writing. See the current Undergraduate Catalog for a complete listing of academic policies, curriculum, prerequisites, and course descriptions.
|
Freshman Year - Fall Semester
Freshman Year - Spring Semester
Sophomore Year - Fall Semester
Sophomore Year - Spring Semester
Semester Total: 15 Hrs
NOTE: Complete all B.S.B.A. Admission Requirements
Junior Year - Fall Semester
Junior Year - Spring Semester
Senior Year - Fall Semester
Senior Year - Spring Semester
Big Data and Business Analytics, BSBA Degree - 120 Hours
- * Students in this major must complete eight preadmission courses with a grade of C or higher and must obtain a 2.25 cumulative GPA and a 2.25 in these specific courses, for admission to the degree program. These courses are recommended for completion during the freshman and sophomore years. These courses are indicated with an (*).
- ** UNIV 1400 or BADM 1400 (1 hr.) is highly recommended for academic success. UNIV 1400 or BADM 1400 counts as a free choice elective.
- 10 This course fulfills Competency 10 - Integration in the General Education program. The hours count in the major, not in general education.
- To satisfy the General Education Assessment (GEA) Policy, students must take the GEA after they earn 60 credit hours but before earning 75 credit hours. Transfer students who have more than 60 hours earned should take the exam during their second semester at UCM. Students must achieve a passing score of 425 to meet graduation requirements. Students may register for the GEA through MyCentral. Contact UCM Testing Services (HUM 216, 660-543-4919, testingservices@ucmo.edu) for more information.
|
|
|
