Program Information
Learn more about the Data Analytics program.
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Course Sequence
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The Bachelor of Applied Science (BAS) in Data Analytics and Programming is an advanced program which brings together data analytics and object-oriented programming in this emerging field. This BAS in Data Analytics and Programming is designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making. Courses will focus on the techniques, programming languages and computer software used in industry to store and extract data from various data sources, model and integrate that data, and visualize this data for business decision making and intelligence gathering. A bachelor’s degree in Data Analytics and Programming prepares students for application to professional graduate and post-baccalaureate programs in a variety of disciplines in data analytics, programming, and data science.
Details
Important information you’ll need when applying for admission:
- Field of Interest
- Computer and Information Technology
- Type
- Bachelor of Applied Science (BAS)
- Academic Plan
- Data Analytics and Programming (DEG)
- Academic Plan Code
- 9306
- Total Credits Required
- 120-131
- Catalog Year
- 2024-2025
- Effective Term
- Fall 2023
- Notes
Students must earn a grade of C or better in all courses within the program.
What You’ll Learn
This pathway map will help you gain the expertise needed to:
- Apply ethical considerations in dataset preparation, program development, modeling, intellectual property, data protection, copyright protection, and decision making while using data analytics and programming concepts and terminology, in preparation for professional use.
- Test algorithms from mathematics, statistics, data mining and machine learning to solve problems.
- Design scalable systems capturing, processing and interpreting large and complex data sets.
- Set-up software and services to install and configure scalable systems that capture and process large and complex data sets.
- Synthesize and analyze datasets after transforming and cleansing data.
- Demonstrate the results of the data analysis process to effectively communicate to a variety of audiences.
- Perform data analysis to answer stakeholder questions using current programming languages, data mining, and machine learning models.
- Develop a project scope while considering factors such as customer requirements, project costs, return on investment, and internal/external business objectives.
- Develop and implement well-structured computer programs in various object-oriented programming languages that solve business problems.
- Communicate professionally in formal and informal team situations with diverse audiences.
Career Opportunities
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 Maricopa County-based annual median 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.
Computer Programmers
$92,983 Show expanded career information for Computer Programmers
Computer Systems Analysts
$102,893 Show expanded career information for Computer Systems Analysts
Data Scientists
$108,622 Show expanded career information for Data Scientists
Software Developers
$125,354 Show expanded career information for Software Developers
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 Pathway Planner 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.
Full-time Sequence
Full-time status is 12 credits to 18 credits per semester.
Awareness Areas |
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Note: Because you are viewing this pathway map on a mobile device, some columns below have been hidden. To view all columns, please rotate your device or view this page on a device with a larger screen.
Term 1
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS105 | Survey of Computer Information Systems | CS | 3 | ||
CIS150AB | Object-Oriented Programming Fundamentals | 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 | |||
MAT15+ | College Algebra/Functions | OR Higher level course in the Mathematical Applications [MA] area | MA | 3–6 | |
PSY101 | Introduction to Psychology | SB | 3 |
Term 2
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS114DE | Excel Spreadsheet | 3 | |||
CIS156 | Python Programming: Level I | 3 | |||
CIS215 | Foundations of Data Analytics and Programming | 3 | |||
CIS276DA or CIS276DB |
MySQL Database or SQL Server Database | 3 | |||
ENG102 or ENG108 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 | ||
PHI103 | Introduction to Logic | HU, L | 3 |
Term 3
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS162AD | C#: Level I | CS | 3 | ||
CIS216 | Data Governance, Management, and Quality | 3 | |||
CIS224 | Project Management Microsoft Project for Windows | 3 | |||
CIS256 | Python Programming Level II | 3 | |||
CLD110 | Amazon Web Services Cloud Foundations | May be waived by permission of the Program Director, Department or Division Chair | 0–3 | ||
GBS220 | Quantitative Methods in Business | 3 |
Term 4
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS214DA | Advanced Excel for Data Analytics | 3 | |||
CIS256DA | Python for Data Analysis | 3 | |||
CIS260TB | Data Visualization: Tableau | 3 | |||
CIS262AD | C# Level II | 3 | |||
CIS276DC | NoSQL | 3 | |||
CLD120 | Amazon Web Services Cloud Architect Associate | 3 |
Term 5
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS260BI | Data Visualization: Power Business Intelligence (BI) | 3 | |||
CIS314 | Data Privacy and Integrity | 3 | |||
CIS315 | Data Protection | 3 | |||
CIS316 | Descriptive Analytics | 3 | |||
SBU200 | Society and Business | G, SB | 3 |
Term 6
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS250 | Management of Information Systems | 3 | |||
CIS317 | Data Complexity | 3 | |||
CIS318 | Predictive Analytics | 3 | |||
SQ | Natural Sciences Quantitative | SQ | 4 |
Term 7
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS415 | Big Data | 3 | |||
CIS416 | Presentation of Analytics and Programming Results and Solutions | 3 | |||
CIS480 | Data Analytics and Programming Capstone | 3 | |||
C | Cultural Diversity in the US | C | 0–3 | ||
SG or SQ |
Natural Sciences General or Natural Sciences Quantitative | SG or SQ | 4 |
Term 8
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CLD417 | Cloud Analytics | 3 | |||
CIS490 | Applied Data Analytics and Programming Internship | 3 | |||
COM225 | Public Speaking | L | 3 | ||
HU | Humanities, Fine Arts & Design | HU | 3 |
Part-time Sequence
Part-time status is 11 credit hours or less.
Awareness Areas |
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Note: Because you are viewing this pathway map on a mobile device, some columns below have been hidden. To view all columns, please rotate your device or view this page on a device with a larger screen.
Term 1
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS105 | Survey of Computer Information Systems | CS | 3 | ||
CIS150AB | Object-Oriented Programming Fundamentals | 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 |
---|---|---|---|---|---|
CLD110 | Amazon Web Services Cloud Foundations | May be waived by permission of the Program Director, Department or Division Chair | 0–3 | ||
MAT15+ | College Algebra Function | OR Higher level course in the Mathematical Applications [MA] area | MA | 3–6 | |
PSY101 | Introduction to Psychology | SB | 3 |
Term 3
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS114DE | Excel Spreadsheet | 3 | |||
CIS156 | Python Programming: Level I | 3 | |||
CIS276DA or CIS276DB |
MySQL Database or SQL Server Database | 3 |
Term 4
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS215 | Foundations of Data Analytics and Programming | 3 | |||
ENG101 or ENG107 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 |
Term 5
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS162AD | C#: Level I | CS | 3 | ||
CIS256 | Python Programming Level II | 3 | |||
ENG102 or ENG108 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 |
Term 6
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS216 | Data Governance, Management, and Quality | 3 | |||
CIS224 | Project Management Microsoft Project for Windows | 3 | |||
GBS220 | Quantitative Methods in Business | 3 |
Term 7
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS256DA | Python for Data Analysis | 3 | |||
CIS260TB | Data Visualization: Tableau | 3 | |||
CIS262AD | C# Level II | 3 |
Term 8
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS214DA | Advanced Excel for Data Analytics | 3 | |||
CIS276DC | NoSQL | 3 | |||
CLD120 | Amazon Web Services Cloud Architect Associate | 3 |
Term 9
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS260BI | Data Visualization: Power Business Intelligence (BI) | 3 | |||
CIS315 | Data Protection | 3 | |||
CIS316 | Descriptive Analytics | 3 |
Term 10
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS314 | Data Privacy and Integrity | 3 | |||
PHI103 | Introduction to Logic | HU, L | 3 | ||
SBU200 | Society and Business | G, SB | 3 |
Term 11
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS250 | Management of Information Systems | 3 | |||
CIS317 | Data Complexity | 3 | |||
CIS318 | Predictive Analytics | 3 |
Term 12
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
SQ | Natural Sciences Quantitative | SQ | 4 | ||
C | Cultural Diversity in the US | C | 0–3 |
Term 13
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS415 | Big Data | 3 | |||
CIS416 | Presentation of Analytics and Programming Results and Solutions | 3 |
Term 14
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS480 | Data Analytics and Programming Capstone | 3 | |||
SG or SQ |
Natural Sciences General or Natural Sciences Quantitative | SG or SQ | 4 |
Term 15
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CLD417 | Cloud Analytics | 3 | |||
COM225 | Public Speaking | L | 3 |
Term 16
Course Number | Course Name | Requisites | Notes | Area | Credits |
---|---|---|---|---|---|
CIS490 | Applied Data Analytics and Programming Internship | 3 | |||
HU | Humanities, Fine Arts & Design | HU | 3 |
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Program Information
Learn more about and find contact information for the Data Analytics program.
General Help
Ask general questions over the phone at 480-461-7400 or via online chat.
Course Area Key
- C = Cultural Diversity in the US
- 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.
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, meet with an academic advisor to discuss the requirements at your college for the appropriate catalog year.
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/freeForm10?id=175606).