Data Analytics and Programming

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

Offered At

Mesa

Field of Interest

Computer and Information Technology

Degree 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.

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.

Computer Programmers

$79,350 Show expanded career information for Computer Programmers

Computer Systems Analysts

$98,470 Show expanded career information for Computer Systems Analysts

There are additional career opportunities associated with this degree that do not have occupational data available for Arizona at this time. These occupations are listed below:

Data Scientists
Software Developers

* 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.

Full-time
Part-time

Full-time Sequence

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

A list of additional requirements for this pathway map
Awareness Areas
In addition to the requirements identified in the sequence below, students must complete the following awareness areas if not otherwise met by other program requirements: Cultural [C] and Global [G] or Historical [H] Students are strongly encouraged to visit with an academic advisor to ensure completion of all graduation requirements.

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			CS	3
CIS150AB	Object-Oriented Programming Fundamentals	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.			3
ENG101 or ENG107	First-Year Composition or First-Year Composition for ESL	Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+). or Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+).		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

A sequence of suggested courses that should be taken during Term 2
Course Number	Course Name	Requisites	Area	Credits
CIS114DE	Excel Spreadsheet			3
CIS156	Python Programming: Level I	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.		3
CIS215	Foundations of Data Analytics and Programming	Prerequisites or Corequisites: CIS105 or permission of Instructor.		3
CIS276DA or CIS276DB	MySQL Database or SQL Server Database	Prerequisites: A grade of C or better in CIS105, or CIS117DM, or permission of Instructor. or Prerequisites: A grade of C or better in CIS105, or CIS117DM, or permission of Instructor.		3
ENG102 or ENG108	First-Year Composition or First-Year Composition for ESL	Prerequisites: Grade of C or better in ENG101. or Prerequisites: A grade of C or better in ENG107.	FYC or FYC	3
PHI103	Introduction to Logic	Prerequisites: A grade of C or better in ENG101, or ENG107, or equivalent.	HU, L	3

Term 3

A sequence of suggested courses that should be taken during Term 3
Course Number	Course Name	Requisites	Notes	Area	Credits
CIS162AD	C#: Level I	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.		CS	3
CIS216	Data Governance, Management, and Quality	Corequisites: CIS215 or permission of Instructor.			3
CIS224	Project Management Microsoft Project for Windows				3
CIS256	Python Programming Level II	Prerequisites: A grade of C or better in CIS156 or permission of Instructor.			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	Prerequisites: (A grade of C or better in MAT150 or MAT151 or MAT152) or satisfactory District math placement.			3

Term 4

A sequence of suggested courses that should be taken during Term 4
Course Number	Course Name	Requisites	Credits
CIS214DA	Advanced Excel for Data Analytics	Prerequisites or Corequisites: [CIS114DE and (CIS117DM or CIS276DA or CIS276DB)], or permission of Instructor.	3
CIS256DA	Python for Data Analysis	Prerequisites: A grade of C or better in CIS156 or permission of Instructor.	3
CIS260TB	Data Visualization: Tableau	Prerequisites: A grade of C or better in CIS114DE, and (CIS215 or CIS214DA), and (CIS276DA or CIS276DB), or permission of Instructor.	3
CIS262AD	C# Level II	Prerequisites: A grade of C or better in CIS162AD, or permission of Instructor.	3
CIS276DC	NoSQL	Prerequisites: A grade of C or better in CIS215 and (CIS276DA or CIS276DB), or permission of Instructor.	3
CLD120	Amazon Web Services Cloud Architect Associate	Prerequisites: A grade of C or better in CLD110 or permission of Instructor.	3

Term 5

A sequence of suggested courses that should be taken during Term 5
Course Number	Course Name	Requisites	Area	Credits
CIS260BI	Data Visualization: Power Business Intelligence (BI)	Prerequisites: A grade of C or better in CIS114DE, and (CIS215 or CIS214DA), and (CIS276DA or CIS276DB), or permission of Instructor.		3
CIS314	Data Privacy and Integrity	Prerequisites: A grade of C or better in CIS215 or permission of Instructor.		3
CIS315	Data Protection	Prerequisites: A grade of C or better in CIS156, CIS162AD, CIS215, and (CIS276DA or CIS276DB), or permission of Instructor.		3
CIS316	Descriptive Analytics	Prerequisites: A grade of C or better in CIS114DE, CIS215, CIS256DA, and (CIS276DA or CIS276DB), or permission of Instructor. Prerequisites or Corequisites: CIS214DA or permission of Instructor.		3
SBU200	Society and Business		G, SB	3

Term 6

A sequence of suggested courses that should be taken during Term 6
Course Number	Course Name	Requisites	Area	Credits
CIS250	Management of Information Systems	Prerequisites: A grade of C or better in CIS105.		3
CIS317	Data Complexity	Prerequisites: A grade of C or better in CIS214DA, CIS215, CIS256DA, CIS260BI, CIS260TB, CIS262AD, and (CIS276DA or CIS276DB), or permission of Instructor.		3
CIS318	Predictive Analytics	Prerequisites: A grade of C or better in CIS215, CIS256, CIS256DA, CIS316 and GBS220, or permission of Instructor.		3
SQ	Natural Sciences Quantitative		SQ	4

Term 7

A sequence of suggested courses that should be taken during Term 7
Course Number	Course Name	Requisites	Area	Credits
CIS415	Big Data	Prerequisites: A grade of C or better in CIS256, CIS256DA, CIS262AD and CIS318, or permission of Instructor.		3
CIS416	Presentation of Analytics and Programming Results and Solutions	Prerequisites: A grade of C or better in CIS256, CIS260BI, CIS260TB, CIS262AD, (CIS276DA or CIS276DB), CIS317, and CIS318, or permission of Instructor.		3
CIS480	Data Analytics and Programming Capstone	Prerequisites: A grade of C or better in CLD120, CIS216, CIS224, CIS256, CIS262AD, CIS260BI, CIS260TB, (CIS276DA or CIS276DB), CIS315, CIS317, and CIS318, or permission of Instructor.		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

A sequence of suggested courses that should be taken during Term 8
Course Number	Course Name	Requisites	Area	Credits
CLD417	Cloud Analytics	Prerequisites: A grade of C or better in CLD120, CIS215, CIS156, CIS162AD, CIS260BI, CIS260TB, and (CIS276DA or CIS276DB), or permission of Instructor.		3
CIS490	Applied Data Analytics and Programming Internship	Prerequisites: Enrollment in final semester before award completion and permission of Department/Division Chair, or Program Director or Instructor.		3
COM225	Public Speaking	Prerequisites: A grade of C or better in ENG101, or ENG107, or equivalent.	L	3
HU	Humanities, Fine Arts & Design		HU	3

Part-time Sequence

Part-time status is 11 credit hours or less.

A list of additional requirements for this pathway map
Awareness Areas
In addition to the requirements identified in the sequence below, students must complete the following awareness areas if not otherwise met by other program requirements: Cultural [C] and Global [G] or Historical [H] Students are strongly encouraged to visit with an academic advisor to ensure completion of all graduation requirements.

Term 1

A sequence of suggested courses that should be taken during Term 1
Course Number	Course Name	Requisites	Area	Credits
CIS105	Survey of Computer Information Systems		CS	3
CIS150AB	Object-Oriented Programming Fundamentals	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.		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	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

A sequence of suggested courses that should be taken during Term 3
Course Number	Course Name	Requisites	Credits
CIS114DE	Excel Spreadsheet		3
CIS156	Python Programming: Level I	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.	3
CIS276DA or CIS276DB	MySQL Database or SQL Server Database	Prerequisites: A grade of C or better in CIS105, or CIS117DM, or permission of Instructor. or Prerequisites: A grade of C or better in CIS105, or CIS117DM, or permission of Instructor.	3

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	Prerequisites or Corequisites: CIS105 or permission of Instructor.			3
ENG101 or ENG107	First-Year Composition or First-Year Composition for ESL	Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+). or Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+).		FYC or FYC	3

Term 5

A sequence of suggested courses that should be taken during Term 5
Course Number	Course Name	Requisites	Area	Credits
CIS162AD	C#: Level I	Prerequisites: A grade of C or better in CIS105 or permission of Instructor.	CS	3
CIS256	Python Programming Level II	Prerequisites: A grade of C or better in CIS156 or permission of Instructor.		3
ENG102 or ENG108	First-Year Composition or First-Year Composition for ESL	Prerequisites: Grade of C or better in ENG101. or Prerequisites: A grade of C or better in ENG107.	FYC or FYC	3

Term 6

A sequence of suggested courses that should be taken during Term 6
Course Number	Course Name	Requisites	Credits
CIS216	Data Governance, Management, and Quality	Corequisites: CIS215 or permission of Instructor.	3
CIS224	Project Management Microsoft Project for Windows		3
GBS220	Quantitative Methods in Business	Prerequisites: (A grade of C or better in MAT150 or MAT151 or MAT152) or satisfactory District math placement.	3

Term 7

A sequence of suggested courses that should be taken during Term 7
Course Number	Course Name	Requisites	Credits
CIS256DA	Python for Data Analysis	Prerequisites: A grade of C or better in CIS156 or permission of Instructor.	3
CIS260TB	Data Visualization: Tableau	Prerequisites: A grade of C or better in CIS114DE, and (CIS215 or CIS214DA), and (CIS276DA or CIS276DB), or permission of Instructor.	3
CIS262AD	C# Level II	Prerequisites: A grade of C or better in CIS162AD, or permission of Instructor.	3

Term 8

A sequence of suggested courses that should be taken during Term 8
Course Number	Course Name	Requisites	Credits
CIS214DA	Advanced Excel for Data Analytics	Prerequisites or Corequisites: [CIS114DE and (CIS117DM or CIS276DA or CIS276DB)], or permission of Instructor.	3
CIS276DC	NoSQL	Prerequisites: A grade of C or better in CIS215 and (CIS276DA or CIS276DB), or permission of Instructor.	3
CLD120	Amazon Web Services Cloud Architect Associate	Prerequisites: A grade of C or better in CLD110 or permission of Instructor.	3

Term 9

A sequence of suggested courses that should be taken during Term 9
Course Number	Course Name	Requisites	Credits
CIS260BI	Data Visualization: Power Business Intelligence (BI)	Prerequisites: A grade of C or better in CIS114DE, CIS215, and (CIS276DA or CIS276DB), or permission of Instructor.	3
CIS315	Data Protection	Prerequisites: A grade of C or better in CIS156, CIS162AD, CIS215, and (CIS276DA or CIS276DB), or permission of Instructor.	3
CIS316	Descriptive Analytics	Prerequisites: A grade of C or better in CIS114DE, CIS215, CIS256DA, and (CIS276DA or CIS276DB), or permission of Instructor. Prerequisites or Corequisites: CIS214DA or permission of Instructor.	3

Term 10

A sequence of suggested courses that should be taken during Term 10
Course Number	Course Name	Requisites	Area	Credits
CIS314	Data Privacy and Integrity	Prerequisites: A grade of C or better in CIS215 or permission of Instructor.		3
PHI103	Introduction to Logic	Prerequisites: A grade of C or better in ENG101, or ENG107, or equivalent.	HU, L	3
SBU200	Society and Business		G, SB	3

Term 11

A sequence of suggested courses that should be taken during Term 11
Course Number	Course Name	Requisites	Credits
CIS250	Management of Information Systems	Prerequisites: A grade of C or better in CIS105.	3
CIS317	Data Complexity	Prerequisites: A grade of C or better in CIS214DA, CIS215, CIS256DA, CIS260BI, CIS260TB, CIS262AD, and (CIS276DA or CIS276DB), or permission of Instructor.	3
CIS318	Predictive Analytics	Prerequisites: A grade of C or better in CIS215, CIS256, CIS256DA, CIS316 and GBS220, or permission of Instructor.	3

Term 12

A sequence of suggested courses that should be taken during 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

A sequence of suggested courses that should be taken during Term 13
Course Number	Course Name	Requisites	Notes	Area	Credits
CIS415	Big Data	Prerequisites: A grade of C or better in CIS256, CIS256DA, CIS262AD and CIS318, or permission of Instructor.			3
CIS416	Presentation of Analytics and Programming Results and Solutions	Prerequisites: A grade of C or better in CIS256, CIS260BI, CIS260TB, CIS262AD, (CIS276DA or CIS276DB), CIS317, and CIS318, or permission of Instructor.			3

Term 14

A sequence of suggested courses that should be taken during Term 14
Course Number	Course Name	Requisites	Notes	Area	Credits
CIS480	Data Analytics and Programming Capstone	Prerequisites: A grade of C or better in CLD120, CIS216, CIS224, CIS256, CIS262AD, CIS260BI, CIS260TB, (CIS276DA or CIS276DB), CIS315, CIS317, and CIS318, or permission of Instructor.			3
SG or SQ	Natural Sciences General or Natural Sciences Quantitative			SG or SQ	4

Term 15

A sequence of suggested courses that should be taken during Term 15
Course Number	Course Name	Requisites	Notes	Area	Credits
CLD417	Cloud Analytics	Prerequisites: A grade of C or better in CLD120, CIS215, CIS156, CIS162AD, CIS260BI, CIS260TB, and (CIS276DA or CIS276DB), or permission of Instructor.			3
COM225	Public Speaking	Prerequisites: A grade of C or better in ENG101, or ENG107, or equivalent.		L	3

Term 16

A sequence of suggested courses that should be taken during Term 16
Course Number	Course Name	Requisites	Notes	Area	Credits
CIS490	Applied Data Analytics and Programming Internship	Prerequisites: Enrollment in final semester before award completion and permission of Department/Division Chair, or Program Director or Instructor.			3
HU	Humanities, Fine Arts & Design			HU	3

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.

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).

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.