MCCCD Program Description

Data Analytics and Programming

Major: 9306 Catalog Year: 2024-2025 Effective Term: 2023 Fall Last Admit Term: 9999 Award Type: BAS CIP Code: 30.7101	Program Availability: MC Field of Interest: Computer and Information Technology Instructional Council: Computer Information Systems Total Credits: 120-131 GPA: 2.00
SOC Code: Upon completion of a bachelor’s degree, students may pursue a career as: 15-1211.00 Computer Systems Analysts 15-1251.00 Computer Programmers 15-1252.00 Software Developers 15-2051.00 Data Scientist 15-2051.01 Business Intelligence Analysts

Description: 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.

Program Learning Outcomes
1. 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. (CIS105, CIS215, CIS216, CIS314, CIS315, CIS416, CIS480, CIS490, FYE101, FYE103, PHI103, PSY101, SBU200, [HU], [SG], [SQ]) 2. Test algorithms from mathematics, statistics, data mining and machine learning to solve problems. (CIS316, CIS318, CIS415, GBS220, SBU200, [MA], [SG], [SQ]) 3. Design scalable systems capturing, processing and interpreting large and complex data sets. (CLD110, CLD120, CIS317, CIS415, CLD417, [MA]) 4. Set-up software and services to install and configure scalable systems that capture and process large and complex data sets. (CLD110, CLD120, CIS317, CIS415, CLD417) 5. Synthesize and analyze datasets after transforming and cleansing data. (CIS260BI, CIS260TB, CIS276DA, CIS276DB, CIS316, CIS318, [MA]) 6. Demonstrate the results of the data analysis process to effectively communicate to a variety of audiences. (CIS214DA, CIS260BI, CIS260TB, CIS416, PHI103, PSY101, SBU200, (COM225), [FYC], [MA], [SG], [SQ]) 7. Perform data analysis to answer stakeholder questions using current programming languages, data mining, and machine learning models. (CIS114DE, CIS214DA, CIS256DA, CIS276DA, CIS276DB, CIS276DC, CIS316, CIS318) 8. Develop a project scope while considering factors such as customer requirements, project costs, return on investment, and internal/external business objectives. (CIS224, CIS480, SBU200, [MA]) 9. Develop and implement well-structured computer programs in various object-oriented programming languages that solve business problems. (CIS150AB, CIS156, CIS162AD, CIS256, CIS262AD) 10. Communicate professionally in formal and informal team situations with diverse audiences. (CIS250, CIS260BI, CIS260TB, CIS224, CIS416, CIS490, COM225, FYE101, FYE103, PSY101, SBU200, [FYC])

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

Program Prerequisites
None

Program Prerequisites
	Credits:

Required Courses
CIS105 Survey of Computer Information Systems 3 CIS114DE Excel Spreadsheet 3 + CIS150AB Object-Oriented Programming Fundamentals 3 + CIS156 Python Programming: Level 1 3 + CIS162AD C# Programming I 3 + CIS214DA Advanced Excel for Data Analytics 3 + CIS215 Foundations of Data Analytics and Programming 3 + CIS216 Data Governance, Management, and Quality 3 CIS224 Project Management Microsoft Project for Windows 3 + CIS250 Management of Information Systems 3 + CIS256 Python Programming Level II 3 CIS256DA Python for Data Analytics 3 + CIS260BI Data Visualization: Power BI 3 + CIS260TB Data Visualization: Tableau 3 + CIS262AD C# Level II 3 + CIS276DA My SQL Database (3) OR + CIS276DB SQL Server Database (3) 3 + CIS276DC No SQL 3 + CIS314 Data Privacy and Integrity 3 + CIS315 Data Protection 3 + CIS316 Descriptive Analytics 3 + CIS317 Data Complexity 3 + CIS318 Predictive Analytics 3 + CIS415 Big Data 3 + CIS416 Data Analytic Presentations 3 + CIS480 Data Analytics and Programming Capstone Project 3 + CIS490 Applied Data Analytics and Programming Internship 3 CLD110 Amazon Web Services Cloud Foundations (3) OR May be waived by permission of the Program Director, Department or Division Chair (0) 0-3 + CLD120 Amazon Web Services Cloud Architect Associate 3 + CLD417 Cloud Analytics 3 + COM225 Public Speaking 3 FYE101 Introduction to College, Career and Personal Success (1) OR FYE103 Exploration of College, Career and Personal Success (3) 1-3 + GBS220 Quantitative Methods in Business 3 + PHI103 Introduction to Logic 3 PSY101 Introduction to Psychology 3 SBU200 Society and Business 3			Credits: 100-105

Restricted Electives
	Credits:

Arizona General Education Curriculum (AGEC)
AGEC-A			Credits: 20-26
A single course with an [HU], [SB], [L], or [SG]/[SQ] designation may also be used to satisfy the Oral Communication, Critical Reading, or Awareness Area ([C], [G] and/or [H]) requirement(s).


First-Year Composition [FYC]			Credits: 6
+ ENG101 First-Year Composition (3) OR + ENG107 First-Year Composition for ESL (3) AND + ENG102 First-Year Composition (3) OR + ENG108 First-Year Composition for ESL (3) 6

Literacy and Critical Inquiry [L]			Credits: 0
Met by COM225 in Required Courses.

Mathematics [MA]			Credits: 3-6
+ MAT150 College Algebra/Functions (5) OR + MAT151 College Algebra/Functions (4) OR + MAT152 College Algebra/Functions (3) OR + MAT155 College Algebra/Functions with Review (5) OR + MAT156 College Algebra/Functions with Review (6) OR Higher level course in the Mathematical Applications [MA] area (3-6) 3-6

Humanities, Arts and Design [HU]			Credits: 3
Any approved general education courses in the Humanities, Arts and Design [HU] area 3 AND Met by PHI103 in Required Courses.

Social-Behavioral Sciences [SB]			Credits: 0
Met by PSY101 and SBU200 in Required Courses.

Natural Sciences [SG]/[SQ]			Credits: 8
Any approved general education course in the Natural Sciences (Quantitative) [SQ] area (4) AND Any approved general education course in the Natural Sciences (Quantitative) [SQ] area or the Natural Sciences (General) [SG] area (4). 8

Awareness Areas			Credits: 0-3
These requirements may be shared with Core Requirements.

MCCCD Additional Requirements

Oral Communication (COM)			Credits: 0
Met by COM225 in Required Courses.

General Electives
	Credits:
Select courses 100-level or higher to complete a minimum of 120 semester credits. Consult with a faculty advisor, program director, and/or academic advisor to identify coursework that best aligns with academic and professional goals.

+ indicates course has prerequisites and/or corequisites.
++ indicates that any suffixed course may be selected.

MCCCD Governing Board Approval Date: August 23, 2022

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.

Computer/Statistics/Quantitative Applications [CS]			Credits: 0
Met by CIS105 in Required Courses.

Cultural Diversity in the US [C]			Credits: 0-3
Any approved general education course with the Cultural Diversity with the U.S. [C] awareness area designation. 3

Historical/Global Awareness [H]/[G]			Credits: 0
Met by SBU220 in Required Courses.

MCCCD Additional Requirements			Credits: 0
Courses in this area may also be applied to the AGEC Core Requirements. To minimize total credits required for degree and maximize transferable credits, it is recommended that courses be selected that meet more than one requirement wherever possible.

Critical Reading (CRE)			Credits: 0
Not required for Bachelor program.

Subject Options			Credits: