Data Science, B.S. - Computational, Statistical, Business Track

Four-Year Academic Map 2025-2026

This is a sample academic plan for students entering on the 2025-2026 catalog. Students should meet with an academic advisor prior to registration to formulate their own plan. Please tap the button following each course to view course description and prerequisites or see the UH Hilo Catalog for more course information.

Year 1: Fall Semester

	Course	Credit
	MATH 241 (FQ: Quantitative Reasoning)	4
	GL: Language Arts	3
	DATA 171 (GQR: Quantitative Reasoning)	3
	DATA 172	3
	Elective	3
	Credits	16

Year 1: Spring Semester

	Course	Credit
	ENG 100 (FW: Written Communication)	3
	DATA 271 /MATH 271	3
	FGA, FGB or FGC: Global Multicultural Perspectives I	3
	DATA 272	3
	Credits	12

Year 2: Fall Semester

	Course	Credit
	DB: Biological Science	3
	DS: Social Science I	3
	DATA 373	3
	MATH 211	3
	MATH 242 (^{See note 4}) or Elective	3
	Credits	15

Year 2: Spring Semester

	Course	Credit
	DP: Physical Science	3
	DY: Science Laboratory	1
	DA, DH or DL: Arts, Humanities, Literature I	3
	DATA 483 /CS 483	3
	Upper Elective	3
	Elective	3
	Credits	16

Year 3: Fall Semester

	Course	Credit
	DA, DH or DL: Arts, Humanities, Literature II	3
	GE HPP	3
	"Types of Data" Class	3
	"Domain Emphasis" Class	3
	Upper Elective	3
	Credits	15

Year 3: Spring Semester

	Course	Credit
	WI Elective	3
	DS: Social Science II	3
	DATA 474 /MARE 474	3
	"Data Management and Analysis" Class	3
	Upper Elective	3
	Credits	15

Year 4: Fall Semester

	Course	Credit
	GE GCC	3
	WI Elective	3
	DATA 495	3
	"Domain Emphasis" Class (Upper)	3
	DATA 315	3
	Elective	3
	Credits	18

Year 4: Spring Semester

	Course	Credit
	Upper WI Elective	3
	DATA 490	3
	FGA, FGB or FGC: Global Multicultural Perspectives II	3
	"Domain Emphasis" Class (Upper)	3
	Upper Elective	3
	Credits	15

Notes

"Types of Data" Class - Students must take at least 3 credits from DATA 465 /QBA 465 or DATA 470
"Data Management and Analysis" Class - Students must take at least 3 credits from CS 475 and CS 475L , DATA 370 , or DATA 371 /MATH 371
"Domain Emphasis" Class - Students must select a single domain track. Students may choose between three tracks: Computational (9 credits), Business (9 credits), and Statistics (13 credits).
MATH 242 is included in the Statistics track as it serves as the prerequisite giving the necessary calculus background.
MATH 371 is not eligible for the Statistics track if already taken for the Data Management and Analysis course.
A C or better is required in all courses required for the major.
At least 45 credits must be earned in courses at the 300- and 400- level.