Catalog 2024–2025

B.S. in Data Science Requirements

Group 1. General Education Foundation, Diversification, Structural, and Integrative Requirements in effect Fall 2018

Students may choose to graduate under the General Education Foundation, Diversification, Structural and Integrative requirements and graduation requirements in force at the time they entered the UH System, when they entered UH Hilo, or when they graduate, provided there is no break in enrollment.

Students should meet with their academic advisor to ensure that they enroll in courses that will enable them to meet these requirements as well as requirements for the major and for graduation. Some courses may meet both General Education requirements and major requirements.

The new GE foundations, diversification, structural and integrative requirements and lists of certified courses are posted on the General Education website.

Data Science Recommended GE courses that serve as potential entryways (optional for degree):

  • DATA 101 Awesome Data Science Skills (3)
  • DATA/QBA 200 Intro to Business Analytics (3)

Group 2. Major Requirements (51-68 credits)

1. Math Foundations (7 credits)

  • MATH 211 Matrix Algebra w/Applications (3)
  • MATH 241 Calculus I (4)

2. Core Requirements (29 credits)

  • DATA/CS 171 Data Science Fundamentals in R (3)
  • DATA/CS 172 Python for Data Analysis (3)
  • DATA/CS 272 Machine Learning for Data Sci (3)
  • DATA/MATH 271 Applied Statistics with R (3)
  • DATA 315 Math Methods for Data Science (3)
  • DATA/CS 373 Data Security & Privacy (3)
  • CS 475 Data Visualization (3)
  • CS 475L Data Visualization Lab (1)
  • DATA/CS 483 Computer Vision (3)
  • DATA 495 Data Science Seminar (1)
  • DATA 490 Data Science Capstone (3)

3. Data Management and Analysis (3 credits)

  • Choose one course from the following:
    • DATA 474 Applied Informatics (3)
    • DATA/CS 370 Data Management (3)
    • DATA/MATH 371 Multivariate Modeling with R (3)

4. Types of Data (3 credits)

  • Choose one course from the following:
    • DATA/QBA 465 Text Mining for Social Science (3)
    • DATA 470 3D Mapping of Ecosystems (3)

5. Domain Emphases: Pick one of the following domain emphases (9-26 Credits)

i. Computational Track (9 Credits)

  • CS 350 Systems Programming (3)
  • CS 422 Database Analytics (3)
  • CS 440 Artificial Intelligence (3)

ii. Business Track (9 Credits)

  • QBA 260 Business Statistics (3)
  • Choose 6 credits from:
    • QBA 300 Operations Management (3)
    • QBA 362 Business Analytics (3)
    • QBA 367 Applied Business Analytics (3)

iii. Statistics Track (13 Credits) (See notes)

  • MATH 242 Calculus II (4)
  • Choose 9 credits from:
    • MATH 311 Intro Linear Algebra (3)
    • MATH 371 Multivariate Modeling with R (3)
    • MATH 421 Elem Probability Theory (3)
    • MATH 422 Elementary Math Statistics (3)

iv. Astronomy Track (26 Credits) (See notes)

  • PHYS 170 Gen Phys I: Mechanics (4)
  • ASTR 180 Princ Of Astron I (3)
  • ASTR 181 Princ Of Astron II (3)
  • MATH 242 Calculus II (4)
  • PHYS 272 Gen Phys II: Elec & Magnetism (4)
  • ASTR 250 Observational Astronomy (3)
  • ASTR 250L Observational Astronomy Lab (2)
  • ASTR/PHYS 260 Computational Physics & Astron (3)
  • ASTR/PHYS 260L Computational Phys & Astr Lab (1)

Total Semester Hours Required for the B.S. in Data Science

120 credits required.

Notes

  1. A C or better is required in all courses required for the major.
  2. At least 45 credits must be earned in courses at the 300- and 400- level.
  3. MATH 242 Calculus II (4) is included in the statistics track as it serves as a prereq giving the necessary calculus background.
  4. MATH 371 Multivariate Modeling with R (3) is not eligible for the statistics track if already taken for the data management and analysis course.
  5. The astronomy track contains 18 credits of background courses needed as prereqs for ASTR 250 Observational Astronomy (3) and ASTR/PHYS 260 Computational Physics & Astron (3) .
  6. Students pursuing the astronomy track may be able to seek instructor permission to waive ASTR 181 Princ Of Astron II (3) as a prereq for ASTR 250 Observational Astronomy (3) .
  7. Students wishing to make timely progress toward graduation are urged to pay careful attention to all degree requirements.
  8. In addition, when planning a schedule of courses, it is imperative to be aware of course prerequisites and the frequency with which courses are offered. This information is available in the course listings in this Catalog.
  9. To ensure progress toward degree completion, students are urged to meet with an advisor each semester before registering.