Connecting Learning, Life and Aloha
‘O ka ‘imi na‘auao, ke ola a me ke aloha kā kākou e huliāmahi ai

Vice Chancellor for Academic Affairs

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

Four-Year Academic Map 2024-2025

This is a sample academic plan for students entering on the 2024-2025 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
CS 171 (GQR: Quantitative Reasoning) 3
CS 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
CS 272 3
Credits 12

Year 2: Fall Semester

Course Credit
DB: Biological Science 3
DS: Social Science I 3
CS 373 3
MATH 211 3
MATH 242 (see note 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
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
CS 475 3
CS 475L 1
"Data Management and Analysis" Class 3
Upper Elective 3
Credits 16

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

  1. "Types of Data" Class - Students must take at least 3 credits from QBA 465 and DATA 470
  2. "Data Management and Analysis" Class - Students must take at least 3 credits from DATA 474 , CS 370 and DATA 371 /MATH 371
  3. "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).
  4. MATH 242 is included in the Statistics track as it serves as the prerequisite giving the necessary calculus background.
  5. MATH 371 is not eligible for the Statistics track if already taken for the Data Management and Analysis course.
  6. A C or better is required in all courses required for the major.
  7. At least 45 credits must be earned in courses at the 300- and 400- level.