Data Science B.S. with Computational Analytics Concentration
Data Science B.S. with Computational Analytics Concentration
Eight-Semester Program
| First Year | Units | |
|---|---|---|
| Fall | Spring | |
| MATH 24004 Calculus I (ACTS Equivalency = MATH 2405) (Satisfies General Education Outcome 2.1)2 | 4 | |
| ENGL 10103 Composition I (ACTS Equivalency = ENGL 1013) (Satisfies General Education Outcome 1.1) | 3 | |
| DASC 10003 Introduction to Data Science | 3 | |
| DASC 11004 Programming Languages for Data Science | 4 | |
| MATH 25004 Calculus II | 4 | |
| ECON 21403 Basic Economics: Theory and Practice (Satisfies General Education Outcome 3.3) | 3 | |
| ENGL 10303 Technical Composition II (ACTS Equivalency = ENGL 1023) (Satisfies General Education Outcome 1.2) | 3 | |
| DASC 12004 Introduction to Object Oriented Programming for Data Science | 4 | |
| DASC 12203 Role of Data Science in Today's World | 3 | |
| Year Total: | 14 | 17 |
| Second Year | Units | |
| Fall | Spring | |
| DASC 25904 Multivariable Math for Data Scientists | 4 | |
| STAT 30133 Introduction to Probability4 or INEG 23203 Probability and Stochastic Processes for Industrial Engineers | 3 | |
| DASC 22103 Data Visualization and Communication | 3 | |
| DASC 21103 Principles and Techniques of Data Science | 3 | |
| State Minimum Core U.S. History or Government Elective (Satisfies General Education Outcome 4.2)2 | 3 | |
| SEVI 20503 Business Foundations (Data Science Majors-only section) | 3 | |
| STAT 30043 Statistical Methods5 or INEG 23104 Statistics for Industrial Engineers I | 3-4 | |
| DASC 22003 Data Management and Data Base | 3 | |
| DASC 21003 Data Structures & Algorithms | 3 | |
| State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4) | 4 | |
| Year Total: | 16 | 16 |
| Third Year | Units | |
| Fall | Spring | |
| DASC 21303 Data Privacy & Ethics (Satisfies General Education Outcome 5.1) | 3 | |
| DASC 31003 Big Data Analytics with Cloud Computing | 3 | |
| CSCE 41403 Data Mining | 3 | |
| State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4) | 4 | |
| State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.2 and 3.3)3 | 3 | |
| DASC 32003 Optimization Methods in Data Science | 3 | |
| DASC 32103 Statistical Learning | 3 | |
| CSCE 46103 Artificial Intelligence | 3 | |
| State Minimum Core Fine Arts Elective (Satisfies General Education Outcome 3.1)3 | 3 | |
| State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.3 and 4.1)3 | 3 | |
| Year Total: | 16 | 15 |
| Fourth Year | Units | |
| Fall | Spring | |
| DASC 48902 Data Science Practicum I | 2 | |
| DASC 41103 Machine Learning | 3 | |
| DASC 41203 Social Problems in Data Science and Analytics | 3 | |
| Computational Analytics Elective | 3 | |
| Computational Analytics Elective | 3 | |
| DASC 49903 Data Science Practicum II (Satisfies General Education Outcome 6.1) | 3 | |
| Computational Analytics Elective | 3 | |
| Computational Analytics Elective | 3 | |
| General Education Elective4 | 2-3 | |
| Year Total: | 14 | 12 |
| Total Units in Sequence: | 120 | |
- 1
MATH 26103 or MATH 28003 is a pre-req for CSCE 41303 and CSCE 43203.
- 2
Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 24004.
- 3
Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections.
- 4
Students are required to complete 40 hours of upper-division courses (3000-4000 level). It is recommended that students consult with their adviser when making course selections.
- 5
Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 30133/STAT 30043 to meet the prerequisites required in the concentration.
- 6
CSCE 31903 is a pre-req for CSCE 41203, CSCE 43203, CSCE 45203, CSCE 47503, CSCE 48103.
- 7
Pre-req for CSCE 41203 is CSCE 31903 or CSCE 319H3 with a grade of C or better.
- 8
Co-req for SOCI 33003 is SOCI 33001 and pre-req is SOCI 20103 and junior standing.