Editing SNHU Data Analytics Degree Plan

== Data Analytics (BS) Degree Plan ==
Here is a Data Analytics (BS) Degree plan for [[Southern New Hampshire University]] (SNHU) as of approximately June of 2023. Please make sure that the suggestions are still valid before beginning to follow this plan.

The alternative credit courses were handpicked using experience from previous students as to what courses will be the easiest and quickest courses to take. In places with multiple courses listed, the first course is assumed to be the fastest/easiest course to take.

=== Taking Alt Credit Courses Not on a Equivalency List ===
If you want to take courses from [[Study.com]] for example, it is best to get those courses approved before taking them.  Contact the SNHU advisor to get courses approved. 

===MAT-243 Requirement ===
The degree requires Stats (MAT-243) however if you take Sophia stats (MAT-240) and take IT-140 intro to programming then SNHU will accept MAT-240 for the MAT-243 requirement.  

===Tips on Order in Which to Complete Courses ===
Start with [[Sophia.org]], do English Composition first. Unfortunately, Sophia only allows 2 courses open at one time, so after you start English Comp, do a course that doesn't have any touchstones (written assignments). Once done with Sophia, start doing other alternative credit courses. 
===How Long Will It Take To Complete This Degree Once I Finish All the Alterative Credits?===
Full time is 2 courses per 2 month term at SNHU and max of 3 courses per term once you done a couple of terms.  At that rate, it would take 8 to 10 months to do 30 credits worth of courses.
=== Source of Credit===
This degree plan was made using this source to map out all the alternative credits.

[https://snhu.sophia.org/ Sophia Equivalents]

[https://www.snhu.edu/admission/transferring-credits/work-life-experience/testing-out CLEP, DSST, AP Exams Equivalents and other Alt credit equivalents]
==General Education Requirements (42cr total)==
'''There are a total of 42 credits worth of General Education Requirements.'''

Please refer to the [[SNHU !General Education Requirements Roadmap|SNHU GE Requirements Roadmap]] for details and suggestions on courses that will fulfill this requirement.
==Major Courses==
{| class="wikitable" style="width: 100%;"
|+
!ID
!Course
!Competency
Units Value
!Course
Provider
!Course Name
!SNHU Credit
|-
|IT140
|Introduction to Scripting
|3
|Sophia or

OD or Study.com or Coursera
|Introduction to Python Programming or
Intro to Programming (Python) or CS 109: Intro to Programming (Java) or Google IT Automation Cert
|3
|-
|MAT225
|Calculus I
|3
|Sophia
|Calculus
|3
|-
|MAT303
|Applied Statistics II
|3
|
|
|
|-
|DAT205
|Role of Data Analysis in Organizations
|3
|Coursera
|Google Data Analytics
|3
|-
|DAD220
|Introduction to Structured Database Environments
|3
|Coursera or Study.com
|Google Data Analytics or
Computer Science 107: Database Fundamentals
|3
|-
|DAT223
|Gathering Requirements and Collecting Data
|3
|
|
|
|-
|DAT250
|Data Policy and Decision Making
|3
|
|
|
|-
|DAT260
|Emerging Technologies and Big Data
|3
|
|
|
|-
|DAT300
|Data Validation: Getting the Right Data
|3
|Coursera
|Google Advanced Data Analytics
|3
|-
|DAT325
|Data Validation: Quality and Cleaning
|3
|Coursera
|Google Data Analytics
|3
|-
|DAT375
|Data Analysis Techniques
|3
|Coursera
|Google Data Analytics
|3
|-
| DAT430
|Leveraging Data Analysis for Organizational Results
|3
|
|
|
|-
|DAT475
|Applied Data Analysis
| 3
|
|
|
|-
|IT226
|Communication in STEM Professions
|3
|
|
|
|-
!
!Totals
! 42
!
!
!21

|}

== Major Electives ==
{| class="wikitable" style="width: 100%;"
!ID
!Course
!Competency
Units Value
!Course
Provider
!Course Name

!SNHU Credit
|-
|
|12 credit(s) from CS CYB, DAT, or IT  within the 200 - 499 range
|12
|Coursera
|Google IT Support Professional Certificate
|12
|-
!
!Totals
!12
!
!
!12
|}

==Free Electives==
{| class="wikitable" style="width: 100%;"
|+
!ID
!Course
!Competency
Units Value
!Course
Provider
!Course Name

!SNHU Credit
|-
|
|Pick whatever you want
|24
|
|Whatever
|24
|-
!
!Totals
!24
!
!
!24
|}

==Total Transfer Credit==
{| class="wikitable" style="width: 100%;"
|+
!ID
!Course

!Competency
Units Value
!Course
Provider
!Course Name
!SNHU
Credit

(90 Max)
|-
|
|General Education Requirements
|42
|
|
|39
|-
|
|Major Courses
|42
|
|
|21
|-
|
|Major Electives
|12
|
|
|12
|-
|
|Free Electives
|24
|
|
|24
|-
!
!Total
!120
!
!
!96
|}
<small>*To copy this degree plan, hold down left mouse button, drag to select tables, then copy/paste (CTR+C/CTR+P) to Sheets or Excel.</small>
[[Category:Degree Plans]]
[[Category:SNHU]]