Data Science, BS
Program Description
The Bachelor of Science degree in Data Science is an interdisciplinary program combining a core of Computer Science, Mathematics, and Statistics with concentrations in application fields such as Bioinformatics, Business Analytics, Chemistry Informatics, and health Informatics.
Graduates with a Bachelor of Science in Data Science work in government and public policy, marketing, advertising, and industrial and university research. Graduates will fill one of the nation’s largest gaps between demand for job candidates and highly trained professionals.
Program Learning Outcomes
Upon graduation, majors in Data Science will be equipped to:
- Identify problems that may be solved using data analysis;
- Collect, organize, and validate data relevant to the solution of a problem;
- Extract variables and their characteristics to construct approaches and models;
- Use models and approaches to identify patterns and results;
- Assess results and their limitations to evaluate the developed solutions;
- Present data, models, results, and analysis of solutions;
- Apply Ethical standards in all aspects of the use and analysis of data in their chosen concentration.
Degree Requirements
| Code | Title | Hours |
|---|---|---|
| Support Courses | ||
| LIBR 102 | Found Info Science/Col Success | 2 |
| EVRN 131 | Introduction to GIS and GPS | 3 |
| Computer Science | ||
| CSCI 105 | Intro to Computer Programming | 3 |
| CSCI 115 | Introduction to Data Science | 3 |
| CSCI 121 | Principles of Programming | 4 |
| CSCI 201 | Data Structures and Algorithms | 4 |
| CSCI 211 | Database Applications | 4 |
| CSCI 265 | Int to Artificial Intelligence | 3 |
| CSCI 342 | Adv Programming Techniques | 4 |
| CSCI 411 | Data Analytics | 3 |
| Mathematics | ||
| MATH 151 | Calculus I | 4 |
| MATH 261 | Intro to Numerical Methods | 3 |
| MATH 305 | Linear Algebra | 3 |
| Total Hours | 43 | |
Complete one of the following concentrations:
Bioinformatics
| Code | Title | Hours |
|---|---|---|
| BIOL 131 | General Biology: Cells | 4 |
| BIOL 132 | General Biology: Organisms | 4 |
| BIOL 220 | Genetics | 4 |
| BIOL 280 | Biostatistics | 3 |
| BIOL 337 | General Ecology | 3 |
| BIOL 490 | Ind Study in (Discipline) | 3-4 |
| BIOL Elective | 3-4 | |
| CHEM 115 | General Chemistry I | 5 |
| Total Hours | 29-31 | |
Business Analytics
| Code | Title | Hours |
|---|---|---|
| ACTG 132 | Principles of Accounting I | 4 |
| ACTG 133 | Principles of Accounting II | 4 |
| BUSN 121 | Introduction to Business | 3 |
| BUSN 211 | Business Statistics | 3 |
| ECON 202 | Principles Microeconomics | 3 |
| MRKT 281 | Marketing Principles/ Strategy | 3 |
| MRKT 381 | Consumer Behaviors | 3 |
| BUSN 466 | Business Policy | 3 |
| Select one of the following: | 3-4 | |
| Managerial Economics | ||
| Environmental Economics | ||
| Insurance | ||
| Operations/Business Analytics | ||
| Marketing Research | ||
| Total Hours | 29-30 | |
Chemistry Informatics
| Code | Title | Hours |
|---|---|---|
| CHEM 115 | General Chemistry I | 5 |
| CHEM 116 | General Chemistry II | 5 |
| CHEM 225 | Organic Chemistry I | 4 |
| CHEM 231 | Quantitative Analysis | 4 |
| CHEM 326 | Organic Chemistry II | 4 |
| CHEM 332 | Instrumental Analysis | 4 |
| CHEM 351 | Introductory Biochemistry | 4 |
| Select one of the following: | 4-5 | |
| Molecular Spectroscopy | ||
| Physical Chemistry I and Phy Chem Lab:Kinetic/Reac Dy | ||
| CHEM 499 | Senior Seminar | 1 |
| Total Hours | 35-36 | |
Geosystems Modeling
| Code | Title | Hours |
|---|---|---|
| GEOL 121 | Physical Geology | 4 |
| GEOL 122 | Historical Geology | 4 |
| NRES 299 | Sophomore Seminar | 1 |
| NRES 399 | Research Project Design | 1 |
| GEOL 495 | Senior Project | 2 |
| NRES 499 | Senior Capstone | 1 |
| Select ten credits from the following in consultation with an advisor: | 10 | |
| Earth Materials | ||
| Structural Geology Systems | ||
| Geoenvironmental Systems | ||
| Geochemical Systems | ||
| Hydrologic Sys: Sur/Grd Water | ||
| Stratigraphy and Sedimentation | ||
| Geophysical Systems | ||
| Technology in Geology | ||
| Geology Seminar I | ||
| Geology Seminar II | ||
| Total Hours | 23 | |
Health Informatics
| Code | Title | Hours |
|---|---|---|
| HLTH 101 | Intro to Medical Terminology | 2 |
| HLTH 150 | Introduction to Public Health | 3 |
| HLTH 210 | Into Hlth Care Concepts/Issues | 3 |
| HLTH 235 | Healthcare Informatics | 2 |
| HLTH 490 | Independent Study in Health | 2-4 |
| KINS 332 | Health Promotions | 3 |
| MATH 207 | Prin of Statistical Methods | 3 |
| PHIL 220 | Biomedical Ethics | 3 |
| SOCY 266 | Medical Sociology | 4 |
| Total Hours | 25-27 | |
Robotics
| Code | Title | Hours |
|---|---|---|
| EGRS 105 | Robotics Applications & Trends | 1 |
| EGRS 215 | Introduction to Robotics | 2 |
| EGRS 372 | Mobile Robotics | 4 |
| EGRS 380 | Robotics Technology | 2 |
| EGRS 381 | Robotics Technology Lab | 1 |
| EGRS 430 | Sys Integration/Machine Vision | 4 |
| EGRS 480 | Manufacturing Automation | 3 |
| EGRS 481 | Manufacturing Automation Lab | 1 |
| EGNR 496 | Senior Directed Project | 3 |
| PHYS 221 | Principles of Physics I | 4 |
| Total Hours | 25 | |
Spatial Analytics
| Code | Title | Hours |
|---|---|---|
| EVRN 225 | Intermediate GIS | 3 |
| EVRN 325 | Geospatial Analysis | 3 |
| EVRN 355 | GIS Programming & Applications | 4 |
| EVRN 365 | App Geospatial Technologies | 4 |
| EVRN 445 | Remote Sensing & Spatial Stats | 4 |
| NRES 499 | Senior Capstone | 1 |
| Select one of the following: | 3-4 | |
| Plan Experiential Lrn Project and Experiential Learning Project | ||
| Research Project Design and Senior Project | ||
| Total Hours | 22-23 | |
Electives to reach 124 credits
General Education: All LSSU bachelor’s degree candidates must complete the LSSU General Education Requirements.
A minimum of 124 credits (at the 100 level or higher) must be earned for graduation with a cumulative gpa of 2.00 or higher. A gpa of 2.50 or higher is required in your Major and Concentration, and a gpa of 2.00 or higher is required in your General Education Requirements.