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Program checklist · Certificate

Data Analytics Certificate

Mohawk Valley Community College · Utica, NY

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
CIP
30.7103
Total credits (published)
30
Credits (computed from items)
42
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
193283
CourseShelf checklist
CK_193283_847bcdfd
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
  1. BA 101
    Introduction to Analytics
    Not resolved to a course
    3
  2. IS 101
    Computers and Society
    Not resolved to a course
    3
  3. As published: “English 1: Composition”
    3
  4. AC 115
    Financial Accounting
    Not resolved to a course
    3
  5. As published: “Elementary Statistics”
    3

Second Semster

5 items
  1. MA 111
    Intermediate Statisics
    Not resolved to a course
    3
  2. IS 200
    Spreadsheet Concepts and Applications
    Not resolved to a course
    3
  3. As published: “Principles of Microeconomics”
    3
  4. BA 201
    Decision Modeling
    Not resolved to a course
    3
  5. Restricted Elective (a)
    Not resolved to a course
    3

Restricted Electives (a)

4 items
  1. AC 116
    Managerial Accounting
    Not resolved to a course
    3
  2. AC 131
    Business Law 1
    Not resolved to a course
    3
  3. BM 100
    Introduction to Business
    Not resolved to a course
    3
  4. As published: “Principles of Macroeconomics”
    3

Program Goals and Outcomes

14 items
  1. To prepare students to apply statistical methods to common business decision making processes
    Not resolved to a course
  2. ​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
  3. To prepare students to effectively gather and process large quantities of data
    Not resolved to a course
  4. ​Students will develop the skills necessary to acquire, clean and organize data for statistical analysis
    Not resolved to a course
  5. To assure that students develop hands‐on experience with industry-leading analytical tools and software
    Not resolved to a course
  6. ​Students will gain proficiency with software commonly used for predictive analysis and data analysis.​
    Not resolved to a course
  7. To develop student understanding of the dynamics of leading and the role data analysis plays in effective leadership
    Not resolved to a course
  8. ​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
  9. To prepare the students to interact effectively within a diverse business population
    Not resolved to a course
  10. ​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
  11. Students will gain an understanding of how different cultural beliefs and customs impact a global business society.
    Not resolved to a course
  12. To prepare students to demonstrate information literacy​
    Not resolved to a course
  13. Students will use traditional and contemporary information technology.​
    Not resolved to a course
  14. 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 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.