Computer Information Systems - Software Engineering Option (CIS.SWE.AAS)

Data Science Focus Area

Program Outcomes

Program outcomes represent broad areas of knowledge and skills developed over the duration of the program through a wide range of courses and experiences. These learning outcomes represent what a student should be able to know, think, or do upon successful completion of their program at Oakland Community College.

Students will apply knowledge, concepts, paradigms, or theories to the assigned task.
Students will use critical thinking to understand and apply the basics of data structures.
Students will use critical thinking to apply various computer languages for writing computer programs.
Students will use critical thinking to develop web systems.

Program Plan 2025-2026

Full Time - Fall Start

Year 1 - Fall

Courses		Credits
CIS 1440	Front-End Web Technologies (HTML, CSS, and JavaScript)	4
ENG 1510	Composition I	3
or ENG 1510E	Composition I Enhanced	3
or ENG 1510S	Composition I with Support	6
LIB 1100	Information Research Methods	2
MAT 1580¹	Statistics	4
	TOTAL CREDITS	7-16

Year 1 - Winter

Courses		Credits
COM 1290	Interpersonal Communication	3
CIS 1200	Introduction to Database Systems	4
CIS 1512	Principles of Software Engineering	3
CIS 2141	R Programming for Data Science	4
	TOTAL CREDITS	14

Year 1 - Summer

Courses		Credits
CIS 2131	Python Programming	4
GEN ED	Social Science	3
	TOTAL CREDITS	7

Year 2 - Fall

Courses		Credits
CIS 2353	Data Structures	4
CIS 2454	Full Stack Web Development	4
PHI 1710	Introduction to Informal Logic	3
or PHI 2710	Introduction to Formal Logic	3
	TOTAL CREDITS	11

Milestone: Make an apointment to meet with a Counselor to apply for this degree.

Year 2 - Winter

Courses		Credits
CIS 2637	Big Data and NoSQL Systems	3
CIS 2777	Introduction to Applied AI	4
CIS 2818	Mobile Application Development (Android)	4
	TOTAL CREDITS	11

Year 2 - Summer

Courses		Credits
CIS 2241	Discrete Structures	4
CIS 2991	Special Project in Software Engineering	3
	TOTAL CREDITS	7

TOTAL CREDITS	62-66

Notes:
¹ MAT 1150 Intermediate Algebra or higher-level MAT course (except MAT 1525, MAT 2530 or MAT 2540) is required, but taking MAT 1580 Statistics will allow students to complete CIS.DSC.CT and it is a required pre-req for CIS 2541 Introduction to Machine Learning.