Data Analytics

The Associate in Applied Science (AAS) in Data Analytics is designed to prepare students to apply principles and concepts in data analytics and model, synthesize, analyze, and present large data sets for business decision making. Courses will focus on the software development techniques and computer applications used in industry to extract data from various data sources, model and integrate that data, and then visualize this data for business decision making and intelligence gathering. This program prepares students for industry recognized certifications such as the Microsoft Power BI Data Analyst, Tableau Certified Analyst, and Microsoft Office Specialist for Excel and Access. Graduates may pursue employment in a variety of information technology environments.

Details

Offered At
Chandler-Gilbert, Mesa, Scottsdale
Field of Interest
Computer and Information Technology
Degree Type
Associate in Applied Science (AAS)
Academic Plan
Data Analytics (DEG)
Academic Plan Code
3212
Total credits required
62-70
Catalog Year
2024-2025
Effective Term
Fall 2024
Notes

Students must earn a grade of C or better in all courses within the program.

Courses within any of the following prefixes must be taken within five (5) years prior to completion of the program to be applied toward this award: AIM, BPC, CIS, CLD, CNT, CSC, ITS, and MST.

Students who have completed GBS221 can use this course in lieu of GBS220.

What You'll Learn

This pathway map will help you gain the expertise needed to:

  1. Apply computer spreadsheet programs to create, store, analyze, modify, print and present electronic spreadsheets.
  2. Demonstrate the skills needed to create, design, maintain, and use a relational database to gather and analyze data.
  3. Identify the fundamental characteristics and functions of modern business, including business principles, marketing, labor relations, and business risks through data analysis application.
  4. Solve probability and statistical applications.
  5. Interpret outputs obtained from descriptive and inferential statistical techniques for decision making.
  6. Apply data modeling techniques for data visualization and informed decision making.
  7. Perform data analysis to answer stakeholder questions using data mining and machine learning models.
  8. Construct Python programs that solve business problems.
  9. Communicate to stakeholders with diverse skillsets.
  10. Apply ethical principles to data handling.

Successful completion of this degree may lead to employment in a variety of different occupations and industries. Below are examples of related occupations with associated Arizona-based wages* for this degree. Education requirements vary for the occupations listed below, so you may need further education or degrees in order to qualify for some of these jobs and earn the related salaries. Please visit with an academic advisor and/or program director for additional information. You can click on any occupation to view the detail regarding education level, wages, and employment information.

* Career and wage information provided by Pipeline AZ using data, reports, and forecasts which are generated using government data sources. Sources

Course Sequence by Term

The following is the suggested course sequence by term. Please keep in mind:

  • Students should meet with an academic advisor to develop an individual education plan that meets their academic and career goals. Use the Degree Progress Report Tool in your Student Center to manage your plan.
  • The course sequence is laid out by suggested term and may be affected when students enter the program at different times of the year.
  • Initial course placement is determined by current district placement measures and/or completion of 100-200 level course and/or program requirements.
  • Degree and transfer seeking students may be required to successfully complete a MCCCD First Year Experience Course (FYE) within the first two semesters at a MCCCD College. Courses include FYE101 and FYE103. Course offerings will vary by college. See an academic, program, or faculty advisor for details.
  • Consult with your faculty mentor or academic advisor to determine educational requirements, including possible university transfer options, for your chosen career field.

Full-time Sequence

Full-time status is 12 credits to 18 credits per semester.

Term 1

A sequence of suggested courses that should be taken during Term 1
Course Number Course Name Requisites Notes Area Credits
CIS105 Survey of Computer Information Systems Gateway course CS 3
ENG101 or
ENG107
First-Year Composition or First-Year Composition for ESL FYC or FYC 3
MAT150 or
MAT151 or
MAT152 or
MAT155 or
MAT156
College Algebra/Functions or College Algebra/Functions or College Algebra/Functions or College Algebra/Functions with Review or College Algebra/Functions with Review OR Any higher approved general education course in the Mathematics area MA or MA or MA or MA or MA 3–6
FYE101 or
FYE103
Introduction to College, Career and Personal Success or Exploration of College, Career and Personal Success 1–3
GBS151 Introduction to Business 3

Term 2

A sequence of suggested courses that should be taken during Term 2
Course Number Course Name Requisites Notes Area Credits
PHI103 Introduction to Logic HU, L 3
ENG102 or
ENG108
First-Year Composition or First-Year Composition for ESL FYC or FYC 3
CRE101 College Critical Reading and Critical Thinking L 0–3
CIS117DM Microsoft Access: Database Management Critical course 3
CIS114DE Excel Spreadsheet Critical course 3
GBS220 or
GBS221
Quantitative Methods in Business or Business Statistics None or CS 3

Term 3

A sequence of suggested courses that should be taken during Term 3
Course Number Course Name Requisites Notes Area Credits
CIS111 Ethics in Information Technology 3
CIS156 Python Programming: Level I 3
CIS214DA Advanced Excel for Data Analytics 3
CIS276DA or
CIS276DB
MySQL Database or SQL Server Database 3
SQ or
SG
Natural Sciences Quantitative or Natural Sciences General SQ or SG 4

Term 4

A sequence of suggested courses that should be taken during Term 4
Course Number Course Name Requisites Notes Area Credits
CIS215 Foundations of Data Analytics and Programming 3
CIS256DA Python for Data Analysis 3
SBU200 Society and Business G, SB 3
CIS224 Project Management Microsoft Project for Windows 3
CIS260BI or
CIS260TB
Data Visualization: Power Business Intelligence or Data Visualization: Tableau 3
COM225 Public Speaking L 3

Part-time Sequence

Part-time status is 11 credit hours or less.

Term 1

A sequence of suggested courses that should be taken during Term 1
Course Number Course Name Requisites Notes Area Credits
CIS105 Survey of Computer Information Systems Gateway course CS 3
ENG101 or
ENG107
First-Year Composition or First-Year Composition for ESL FYC or FYC 3
FYE101 or
FYE103
Introduction to College, Career and Personal Success or Exploration of College, Career and Personal Success 1–3

Term 2

A sequence of suggested courses that should be taken during Term 2
Course Number Course Name Requisites Notes Area Credits
GBS151 Introduction to Business 3
ENG102 or
ENG108
First-Year Composition or First-Year Composition for ESL FYC or FYC 3
CIS114DE Excel Spreadsheet Critical course 3

Term 3

A sequence of suggested courses that should be taken during Term 3
Course Number Course Name Requisites Notes Area Credits
MAT150 or
MAT151 or
MAT152 or
MAT155 or
MAT156
College Algebra/Functions or College Algebra/Functions or College Algebra/Functions or College Algebra/Functions with Review or College Algebra/Functions with Review OR Any higher approved general education course in the Mathematics area MA or MA or MA or MA or MA 3–6
CIS117DM Microsoft Access: Database Management Critical course 3

Term 4

A sequence of suggested courses that should be taken during Term 4
Course Number Course Name Requisites Notes Area Credits
CRE101 College Critical Reading and Critical Thinking L 0–3
GBS220 or
GBS221
Quantitative Methods in Business or Business Statistics None or CS 3
CIS276DA or
CIS276DB
MySQL Database or SQL Server Database 3

Term 5

A sequence of suggested courses that should be taken during Term 5
Course Number Course Name Requisites Notes Area Credits
PHI103 Introduction to Logic HU, L 3
CIS111 Ethics in Information Technology 3
CIS214DA Advanced Excel for Data Analytics 3

Term 6

A sequence of suggested courses that should be taken during Term 6
Course Number Course Name Requisites Notes Area Credits
CIS156 Python Programming: Level I 3
SQ or
SG
Natural Sciences Quantitative or Natural Sciences General SQ or SG 4

Term 7

A sequence of suggested courses that should be taken during Term 7
Course Number Course Name Requisites Notes Area Credits
CIS215 Foundations of Data Analytics and Programming 3
CIS256DA Python for Data Analysis 3
SBU200 Society and Business G, SB 3

Term 8

A sequence of suggested courses that should be taken during Term 8
Course Number Course Name Requisites Notes Area Credits
CIS224 Project Management Microsoft Project for Windows 3
CIS260BI or
CIS260TB
Data Visualization: Power Business Intelligence or Data Visualization: Tableau 3
COM225 Public Speaking L 3
Course Area Key

Gateway Course = Generally the first major-specific course in a pathway.

Critical Course = A course that is highly predictive of future success in a pathway.

Disclaimer

Students must earn a grade of C or better in all courses within the program.

Course Sequence total credits may differ from the program information located on the MCCCD curriculum website due to program and system design.

View MCCCD’s official curriculum documentation for additional details regarding the requirements of this award (https://aztransmac2.asu.edu/cgi-bin/WebObjects/MCCCD.woa/wa/freeForm13?id=187332).

At Maricopa, we strive to provide you with accurate and current information about our degree and certificate offerings. Due to the dynamic nature of the curriculum process, course and program information is subject to change. As a result, the course list associated with this degree or certificate on this site does not represent a contract, nor does it guarantee course availability. If you are interested in pursuing this degree or certificate, we encourage you to meet with an advisor to discuss the requirements at your college for the appropriate catalog year.