Data Science, B.S.
Program Learning Outcomes
Graduates of the program will be able to:
- demonstrate facility with analytical and algebraic concepts.
- write proofs.
- apply their mathematical knowledge and critical thinking to solve problems.
- use technology to solve problems.
- speak about their work with precision, clarity, and organization.
- write about their work with precision, clarity, and organization.
- identify, locate, evaluate, and effectively and responsibly use and cite information for the task at hand.
- collaborate effectively in teams.
- understand and create arguments supported by quantitative evidence.
- understand the professional, ethical, and social issues and responsibilities with the implementation and use of mathematical models and technology.
Available Tracks
Biology Track
| Code | Title | Units |
|---|---|---|
| Lower-Division Requirements | ||
| CSC 1043 & 1043L | Introduction to Computer Programming and Introduction to Computer Programming Lab | 3 |
| CSC 1054 & 1054L | Objects and Elementary Data Structures and Objects and Elementary Data Structures Lab | 4 |
| MTH 1064 | Calculus I (GE) | 4 |
| MTH 1074 | Calculus II | 4 |
| MTH 2033 | Linear Algebra | 3 |
| MTH 2074 | Calculus III | 4 |
| Upper-Division Requirements | ||
| CSC 3003 | Python and UNIX | 3 |
| CSC 3011 | Machine Learning and Multivariate Modeling in R | 1 |
| or CSC 3031 | Data Visualization and Communication with R | |
| ISS 4014 | Data Base Systems and Web Integration | 4 |
| MTH 3012 | Number Theory with Proofs | 2 |
| MTH 3033 | Differential Equations | 3 |
| MTH 3043 | Discrete Mathematics | 3 |
| MTH 3073 | Mathematical Modeling | 3 |
| MTH 3083 | Mathematical Probability and Statistics | 3 |
| MTH 4024 | Real Analysis | 4 |
| or MTH 4044 | Abstract Algebra | |
| MTH 4053 | Advanced Applied Statistics | 3 |
| MTH 4081 | Senior Seminar in Mathematics | 1 |
| Choose one (1) sequence from the following: | 2-3 | |
| Internship in Data Science | ||
| Data Science Project I and Data Science Project II | ||
| Biology Courses | ||
| BIO 2010 & 2010L | Cell Biology and Biochemistry (GE) and Cell Biology and Biochemistry Lab (GE) | 4 |
| Choose one (1) of the following: 1 | 4 | |
| Ecological and Evolutionary Systems (GE) and Ecological and Evolutionary Systems Lab (GE) | ||
| Genetics and Genetics Lab | ||
| Total Units | 62-63 | |
- 1
Recommended: Take both BIO 2011/BIO 2011L and BIO 3045/BIO 3045L if there is space in your schedule.
Finance Track
| Code | Title | Units |
|---|---|---|
| Lower-Division Requirements | ||
| CSC 1043 & 1043L | Introduction to Computer Programming and Introduction to Computer Programming Lab | 3 |
| CSC 1054 & 1054L | Objects and Elementary Data Structures and Objects and Elementary Data Structures Lab | 4 |
| MTH 1064 | Calculus I (GE) | 4 |
| MTH 1074 | Calculus II | 4 |
| MTH 2033 | Linear Algebra | 3 |
| MTH 2074 | Calculus III | 4 |
| Upper-Division Requirements | ||
| CSC 3003 | Python and UNIX | 3 |
| CSC 3011 | Machine Learning and Multivariate Modeling in R | 1 |
| or CSC 3031 | Data Visualization and Communication with R | |
| ISS 4014 | Data Base Systems and Web Integration | 4 |
| MTH 3012 | Number Theory with Proofs | 2 |
| MTH 3033 | Differential Equations | 3 |
| MTH 3043 | Discrete Mathematics | 3 |
| MTH 3073 | Mathematical Modeling | 3 |
| MTH 3083 | Mathematical Probability and Statistics | 3 |
| MTH 4024 | Real Analysis | 4 |
| or MTH 4044 | Abstract Algebra | |
| MTH 4053 | Advanced Applied Statistics | 3 |
| MTH 4081 | Senior Seminar in Mathematics | 1 |
| Choose one (1) sequence from the following: | 2-3 | |
| Internship in Data Science | ||
| Data Science Project I and Data Science Project II | ||
| Finance Courses | ||
| ACC 2000 | Survey of Accounting | 3 |
| FIN 3035 | Business Finance | 3 |
| Choose one (1) course from the following: 1 | 3 | |
| Principles of Macroeconomics (GE) | ||
| Principles of Microeconomics (GE) | ||
| Total Units | 63-64 | |
- 1
If you are planning on becoming an Actuary, the Society of Actuaries requires both ECO 1001 and ECO 1002. The Society of Actuaries also requires FIN 3035 and FIN 3085. If you complete these two sequences with a B or better, you will receive credit for two of the 10 requirements for becoming an actuary.
Psychology Track
| Code | Title | Units |
|---|---|---|
| Lower-Division Requirements | ||
| CSC 1043 & 1043L | Introduction to Computer Programming and Introduction to Computer Programming Lab | 3 |
| CSC 1054 & 1054L | Objects and Elementary Data Structures and Objects and Elementary Data Structures Lab | 4 |
| MTH 1064 | Calculus I (GE) | 4 |
| MTH 1074 | Calculus II | 4 |
| MTH 2033 | Linear Algebra | 3 |
| MTH 2074 | Calculus III | 4 |
| Upper-Division Requirements | ||
| CSC 3003 | Python and UNIX | 3 |
| CSC 3011 | Machine Learning and Multivariate Modeling in R | 1 |
| or CSC 3031 | Data Visualization and Communication with R | |
| ISS 4014 | Data Base Systems and Web Integration | 4 |
| MTH 3012 | Number Theory with Proofs | 2 |
| MTH 3033 | Differential Equations | 3 |
| MTH 3043 | Discrete Mathematics | 3 |
| MTH 3073 | Mathematical Modeling | 3 |
| MTH 3083 | Mathematical Probability and Statistics | 3 |
| MTH 4024 | Real Analysis | 4 |
| or MTH 4044 | Abstract Algebra | |
| MTH 4053 | Advanced Applied Statistics | 3 |
| MTH 4081 | Senior Seminar in Mathematics | 1 |
| Choose one (1) sequence from the following: | 2-3 | |
| Internship in Data Science | ||
| Data Science Project I and Data Science Project II | ||
| Psychology Courses | ||
| PSY 1003 | General Psychology (GE) | 3 |
| PSY 3020 | Social Psychology | 3 |
| PSY 4009 | Psychology of Cognition and Learning | 4 |
| Total Units | 64-65 | |
Sports Science Track
| Code | Title | Units |
|---|---|---|
| Lower-Division Requirements | ||
| CSC 1043 & 1043L | Introduction to Computer Programming and Introduction to Computer Programming Lab | 3 |
| CSC 1054 & 1054L | Objects and Elementary Data Structures and Objects and Elementary Data Structures Lab | 4 |
| MTH 1064 | Calculus I (GE) | 4 |
| MTH 1074 | Calculus II | 4 |
| MTH 2033 | Linear Algebra | 3 |
| MTH 2074 | Calculus III | 4 |
| Upper-Division Requirements | ||
| CSC 3003 | Python and UNIX | 3 |
| CSC 3011 | Machine Learning and Multivariate Modeling in R | 1 |
| or CSC 3031 | Data Visualization and Communication with R | |
| ISS 4014 | Data Base Systems and Web Integration | 4 |
| MTH 3012 | Number Theory with Proofs | 2 |
| MTH 3033 | Differential Equations | 3 |
| MTH 3043 | Discrete Mathematics | 3 |
| MTH 3073 | Mathematical Modeling | 3 |
| MTH 3083 | Mathematical Probability and Statistics | 3 |
| MTH 4024 | Real Analysis | 4 |
| or MTH 4044 | Abstract Algebra | |
| MTH 4053 | Advanced Applied Statistics | 3 |
| MTH 4081 | Senior Seminar in Mathematics | 1 |
| Choose one (1) sequence from the following: | 2-3 | |
| Internship in Data Science | ||
| Data Science Project I and Data Science Project II | ||
| Kinesiology Courses | ||
| KIN 2080 | Care and Prevention of Athletic Injuries | 2 |
| Choose six (6) units from the following: | 6 | |
| Medical Terminology | ||
| Care and Prevention of Athletic Injuries Lab | ||
| Applied Biomechanics | ||
| Biomechanics Lab | ||
| Praxis of Strength Training and Conditioning | ||
| Total Units | 62-63 | |
Note(s): An elective course may not count as both an upper-division requirement and a required “additional elective.”
Total Non-GE Units for Degree: 59