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
- Certificate
- Credential class
- ceterms:Certificate
- Total credits (published)
- 30
- Catalog edition
- College Catalog 2026-2027
- Checklist type
- degree-program
- Description
- This certificate combines aspects of data science, mathematics, and general business knowledge. Students are prepared to use analytical techniques to make informed business organizational decisions. Graduates will develop the competencies needed to gather data,organize, and cleanse the data, and use industry-leading software to create useful models built upon the data. Data Analytics skills are used widely in the fields of marketing, financial management, health care,transportation, and manufacturing.
Identifiers
- IPEDS UNITID
- 193283
- CourseShelf checklist
- CK_193283_f5266062
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
First Semester
5 items
- BA 101Introduction to AnalyticsNot resolved to a course3
- IS 101Computers and SocietyNot resolved to a course3
- 3
- AC 115Financial AccountingNot resolved to a course3
- 3
Second Semster
5 items
- MA 111Intermediate StatisicsNot resolved to a course3
- IS 200Spreadsheet Concepts and ApplicationsNot resolved to a course3
- 3
- BA 201Decision ModelingNot resolved to a course3
- Restricted Elective (a)Not resolved to a course3
Restricted Electives (a)
4 items
- AC 116Managerial AccountingNot resolved to a course3
- AC 131Business Law 1Not resolved to a course3
- BM 100Introduction to BusinessNot resolved to a course3
- 3
Program Goals and Outcomes
14 items
- To prepare students to apply statistical methods to common business decision making processesNot resolved to a course
- Students will develop the skills necessary to derive meaning from organized data using statistical methods commonly used in modern business settings.Not resolved to a course
- To prepare students to effectively gather and process large quantities of dataNot resolved to a course
- Students will develop the skills necessary to acquire, clean and organize data for statistical analysisNot resolved to a course
- To assure that students develop hands‐on experience with industry-leading analytical tools and softwareNot resolved to a course
- Students will gain proficiency with software commonly used for predictive analysis and data analysis.Not resolved to a course
- To develop student understanding of the dynamics of leading and the role data analysis plays in effective leadershipNot resolved to a course
- Students will be able to effectively leverage data analysis to make effective leadership decisions, which will promote a positive business culture.Not resolved to a course
- To prepare the students to interact effectively within a diverse business populationNot resolved to a course
- Students will gain an understanding of the relationship between the business analytics discipline and other areas of business to make holistic judgments when analyzing business situations.Not resolved to a course
- Students will gain an understanding of how different cultural beliefs and customs impact a global business society.Not resolved to a course
- To prepare students to demonstrate information literacyNot resolved to a course
- Students will use traditional and contemporary information technology.Not resolved to a course
- Students will identify, access, and appropriately use authoritative sources of information.Not resolved to a course
Gainful Employment Information
0 items
Source. Mohawk Valley Community College, catalog College Catalog 2026-2027 — https://catalog.mvcc.edu/preview_program.php?catoid=3&poid=276&returnto=235. Captured page pages/0073.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.