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
- Bachelor of Science
- Credential class
- ceterms:BachelorDegree
- Catalog edition
- 0286
- Checklist type
- degree-program
- Description
- The discipline of data science focuses on transforming data into knowledge. This degree requires a student to acquire knowledge and expertise in data science through an understanding of analytical and computational techniques, an interdisciplinary emphasis, and a capstone experience.
Identifiers
- IPEDS UNITID
- 175272
- CourseShelf checklist
- CK_175272_c51ceb8d
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Required Courses (54-56 credits)
0 items
Analytical Knowledge (24-25 credits)
3 items
- 3
- 3
- ◆ DSCI 325 - Management of Structured DataNot resolved to a course3
Statistics (9 credits)
3 items
- 3
- △ STAT 310 - Intermediate StatisticsNot resolved to a course3
- △ STAT 360 - Regression AnalysisNot resolved to a course3
Note
0 items
Math (6-8 credits)
2 items
- or: MATH 212 - Calculus I3
- or: MATH 311 - Linear Algebra3
Computer Science (12 credits)
3 items
- 4
- 4
- △ CS 385 - Applied Database Management SystemsNot resolved to a course4
Interdisciplinary Emphasis (12 credits)
0 items
Capstone Experience (6 credits)
2 items
- ◎ DSCI 395 - Professional Skill Development for Data ScienceNot resolved to a course2
- ◎ DSCI 495 - Communication of Capstone OutcomesNot resolved to a course1
Internship
1 item
- As published: “Internship in Data Science (1-6 credits) (3 credits required)”1-6
Electives (9-10 credits)
0 items
Choose two
Choose 2 of the following · Choose two · 4 items
- 3
- 3
- 3
- 3
Choose one
Choose 1 of the following · Choose one · 11 items
- ◆ CS 341 - Data StructuresNot resolved to a course4
- 4
- ◎ CS 447 - Machine LearningNot resolved to a course3
- 3
- 3
- 3
- 3
- FIN 335Forecasting MethodsNot resolved to a course3
- 3
- 3
- 3
Note
0 items
Legend
0 items
Source. Winona State University, catalog 0286 — https://catalog.winona.edu/preview_program.php?catoid=41&poid=7540. Captured page pages/0286.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.