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
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:
- Apply computer spreadsheet programs to create, store, analyze, modify, print and present electronic spreadsheets.
- Demonstrate the skills needed to create, design, maintain, and use a relational database to gather and analyze data.
- Identify the fundamental characteristics and functions of modern business, including business principles, marketing, labor relations, and business risks through data analysis application.
- Solve probability and statistical applications.
- Interpret outputs obtained from descriptive and inferential statistical techniques for decision making.
- Apply data modeling techniques for data visualization and informed decision making.
- Perform data analysis to answer stakeholder questions using data mining and machine learning models.
- Construct Python programs that solve business problems.
- Communicate to stakeholders with diverse skillsets.
- 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.
Operations Research Analysts
$78,330 Show expanded career information for Operations Research Analysts
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
| 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
| 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
| 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
| 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
| 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
| 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
| 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
| 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
| 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
| 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
| 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
| 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.
- CS = Computer/Statistics/Quantitative Application
- FYC = First Year Composition
- G = Global Awareness
- HU = Humanities, Fine Arts, and Design
- L = Literacy & Critical Inquiry
- MA = Mathematics
- SB = Social-Behavioral Sciences
- SG = Natural Sciences General
- SQ = Natural Sciences Quantitative
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.