Data Science, B.S. (STLCC 2+SLU)
This program plan is part of the formal 2+SLU transfer agreement between St. Louis Community College and Saint Louis University.
Students in this program will satisfy the degree requirements published in the 2023-2024 academic catalog at St. Louis Community College and the 2024-2025 academic catalog at SLU. Students must complete all courses and transfer to SLU by the Fall 2027 semester.
Students who plan to transfer to SLU after Fall 2027 should contact a transfer admission counselor to explore options.
Students who have been following a program plan from a previous year's academic catalog can reference their older program plan version at https://catalog.slu.edu/previous-catalogs/.
For additional information see the catalog entry for:
- Students must complete all the courses outlined on the Program Plan unless an exception is approved by SLU.
- Students must complete an application for admission.
- Students may be subject to admission review under circumstances outlined in the Admission Policies.
- Students must present a 2.50 cumulative college GPA at the time of transfer to SLU.
- SLU strongly recommends earning a B or higher in all MTH and IS courses. Students that earn a B- or lower in these courses often struggle in higher level MATH/CSCI/DATA courses at SLU.
- This program plan is structured for a Fall semester start at SLU. Students interested in starting the Spring semester should contact SLU to explore this option.
Program Plans provide a guided pathway for students to earn an associate degree at their home institution and a bachelor's degree at Saint Louis University. Students may change the sequence in which they complete courses at their home institution. Students who complete a course that is not part of this Program Plan are encouraged to contact SLU to see if the course could be substituted.
St. Louis Community College Courses
| Transfer Course | Transfer Course Title | Transfer Course Credits | Equivalent SLU Course | Equivalent SLU Credits |
|---|---|---|---|---|
| Year One | ||||
| Fall | ||||
| COM 107 | Public Speaking (MOTR COMM 110) | 3 | CMM 1200 | 3 |
| ENG 101 | College Composition I (MOTR ENGL 100) | 3 | ENGL 1500 | 3 |
| MTH 210 | Analytic Geometry and Calculus I ** | 5 | MATH 1510 | 5 |
| PHL 101 | Introduction to Philosophy (MOTR PHIL 100) | 3 | PHIL 1700 | 3 |
| Social & Behavioral Sciences: Civics Course | 3 | Elective | 3 | |
| Credits | 17 | 17 | ||
| Spring | ||||
| ENG 102 | College Composition II (MOTR ENGL 200) | 3 | ENGL 1900 | 3 |
| MTH 220 | Analytic Geometry and Calculus II ** | 5 | MATH 1520 | 5 |
| Choose from BIO 140 (BIOL 1240 and BIOL 1245), BIO 151 (BIOL 1ELE), CHM 101 (CHEM 1080 and CHEM 1085), CHM 105 (CHEM 1110 and CHEM 1115), DIT 115 (DIET 2080), GEO 100 (EAS 1430), GEO 111 (EAS 1430 and EAS 1435), GEO 113 (EAS 1450), PSI 101 (PHYS 1010), PSI 111 (PHYS 1130), PSI 123 (EAS 1420) | 3-5 | CORE 3800 | 3-5 | |
| Choose from ENG 204 (ENGL 3270), ENG 211 (ENGL 3260), HST 115 (HIST 1110), HST 128 (HIST 1120), MUS 113 (MUSC 1150), MUS 114 (MUSC 1000), MUS 128 (MUSC 1000), THT 101 (THR 1500) | 3 | CORE 3400 | 3 | |
| Credits | 14-16 | 14-16 | ||
| Year Two | ||||
| Fall | ||||
| IS 153 or IS 167 or IS 187 | C# Programming I or C++ Programming I or Java Programming I (choose prerequisite for IS 267 or IS 287 in semester 4) ** | 3 | CSCI 1REQ | 3 |
| MTH 215 | Linear Algebra (strongly recommended before transferring to SLU) ** | 0-3 | MATH 3110 | 0-3 |
| MTH 230 | Analytic Geometry and Calculus III ** | 5 | MATH 2530 | 5 |
| Choose 3 credit hours from ART 109 (ART 2000), ART 113 (ART 2400), ART 115 (ART 2300), ART 116 (ART 2450), ART 165 (ART 2600), ART 172 (ART 2650), ENG 110 (ENGL 3100), ENG 114 (ENGL 3070), ENG 224 (ENGL 3060), ENG 225 (ENGL 3050), ENG 233 (ENGL 3080), THT 108 (THR 2510) | 3 | CORE 2800 | 3 | |
| Choose from ANT 101 (ANTH 1200), ANT 102 (ANTH 2200), ECO 140 (ECON 1900), ECO 151 (ECON 1ELE*), ECO 152 (ECON 1ELE*), GEG 101 (SOC 1180), MCM 101 (CMM 2400), PSC 201 (POLS 1600), PSY 200 (PSY 1010), SOC 204 (SOC 3430) | 3 | CORE 3600 | 3 | |
| Credits | 15-18 | 15-18 | ||
| Spring | ||||
| IS 267 or IS 287 | C++ Programming II or Java Programming II ** | 3 | CSCI 1300 | 3 |
| MTH 212 | Discrete Mathematics ** | 3 | MATH 1660 | 3 |
| Core 42 Elective (if needed to get to 42 credits) | 3 | Elective | 3 | |
| Natural Sciences Course | 3-5 | Elective | 3-5 | |
| Social & Behavioral Sciences Course | 3 | Elective | 3 | |
| Credits | 15-17 | 15-17 | ||
| St. Louis Community College Total Credits | 61-66 | 61-66 | ||
- Note:
This program plan is structured for a Fall semester start at SLU. Students interested in starting the Spring semester should contact SLU to explore this option.
- Note:
SLU strongly recommends earning a B or higher in all MTH and IS courses. Students that earn a B- or lower in these courses often struggle in higher level MATH/CSCI/DATA courses at SLU.
- **
This course must be passed with a grade of "C" or higher. SLU must review this course if it is transferred from another institution or testing service.
- *
ECO 151 (ECON 1ELE) and ECO 151 (ECON 1ELE) must be completed to transfer credit for ECON 1900 which fulfills SLU's CORE 3600 requirement.
Saint Louis University Courses
| Year Three | ||
|---|---|---|
| Fall | Credits | |
| CORE 1000 | Ignite First Year Seminar | 2,3 |
| CORE 1500 | Cura Personalis 1: Self in Community | 1 |
| CORE 1600 | Ultimate Questions: Theology | 3 |
| CSCI 2100 | Data Structures | 4 |
| General Elective | 3 | |
| MATH 3110 or MATH 3120 |
Linear Algebra for Engineers (if not transferred in) or Introduction to Linear Algebra |
3 |
| Credits | 16-17 | |
| Spring | ||
| CORE 2500 | Cura Personalis 2: Self in Contemplation | 0 |
| CSCI 4710 | Databases | 3 |
| DATA 1800 | Data Science Practicum I | 1 |
| General Elective or CORE Requirement | 3 | |
Equity and Global Identities: Dignity, Ethics, and a Just Society |
||
Equity and Global Identities: Global Interdependence |
||
Equity and Global Identities: Identities in Context |
||
| Major Electives | 6 | |
| STAT 3850 | Foundation of Statistics | 3 |
| Credits | 16 | |
| Year Four | ||
| Fall | ||
| DATA 2800 | Data Science Practicum II | 1 |
| CORE 3500 | Cura Personalis 3: Self in the World | 1 |
| CSCI 4750 | Machine Learning | 3 |
| DATA 4961 | Capstone Project I | 2 |
| General Elective or CORE Requirement | 3 | |
Eloquentia Perfecta: Writing Intensive (EP4) |
||
| Major Elective | 3 | |
| STAT 4880 | Bayesian Statistics and Statistical Computing | 3 |
| Credits | 16 | |
| Spring | ||
| CORE 4000 | Collaborative Inquiry | 0-3 |
| CORE 4500 | Reflection-in-Action | 0 |
| DATA 4962 | Capstone Project II | 2 |
| General Elective | 3 | |
| Major Elective | 3 | |
| Major Elective | 3 | |
| STAT 4870 | Applied Regression | 3 |
| Credits | 14-17 | |
| Total Credits | 62-66 | |