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Nov 22, 2024
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2023-2024 Shepherd University Catalog [ARCHIVED CATALOG]
Data Analytics Comprehensive, B.S.
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Data analytics is a rapidly evolving discipline that incorporates concepts in mathematics, statistics, and computer science to collect and interpret large datasets efficiently and effectively. As ours is an increasingly data-driven world, those who can conduct high-level analyses of data will find their skills in demand across the entire job spectrum. Students who take data analytics courses at Shepherd are exposed to the various ethical, statistical, and algorithmic aspects of the discipline. By learning how to handle vast quantities of information in a streamlined fashion, data analytics students gain both mathematical and programming competence.
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Curriculum for a Comprehensive Major in Data Analytics
Students in the program must select one of two areas of concentration: advanced data analytics, or biology. Student must satisfy requirements for their selected concentration, for the data analytics core, and for the Shepherd University Core Curriculum.
Total hours required (including free electives), 120 Hours:
Data Analytics Core, 62 Hours:
The following are requirements for all concentrations within the Data Analytics major. Individual concentrations have additional requirements.
- DATA 118 - Data Analytics Introduction (3cr)
Mathematics requirements, 9 Hours:
- MATH 307 - Introduction to Linear Algebra (3 cr)
- MATH 314 - Statistics (3 cr)
- MATH 318 - Numerical Analysis (3 cr)
Computer Information Sciences (CIS) Requirements, 16 Hours:
- CIS 104 - Introduction to Computer and Information Sciences (3 cr)
- CIS 211 - Computer Language Concepts (3 cr)
- CIS 301 - Networking (3cr)
- CIS 314 - Advanced Computer Language Concepts (3 cr)
- CIS 388 - Database Management Systems (4 cr)
Environmental Science Requirement, 4 Hours:
- ENVS 390 - Geographic Information Systems (4 cr)
Capstone requirement, 3-4 Hours:
Advanced analytics concentration, take - MATH 489 - Mathematics Capstone I (1 cr)
- AND MATH 490 - Mathematics Capstone Project II (2 cr)
Biology concentration, take
- BIOL 415 - Biological Research (1-6 cr)
- OR BIOL 425 - Principles and Practice of Research (4cr)
Quantitative Methods Electives, 3 Hours:
- MATH 321 - Probability and Statistics (3 cr)
- MATH 329 - Mathematical Modeling (3 cr)
- MATH 354 - Operations Research (3 cr)
- MATH 413 - Quantitative Methods (3 cr)
Advanced CIS Electives, 6 Hours:
- CIS 310 - Information Security (3 cr)
- CIS 324 - Introduction to Artificial Intelligence (3 cr)
- CIS 332 - Web Programming I (3 cr)
- CIS 361 - E-Commerce (3 cr)
- CIS 372 - Introduction to Biometrics (3 cr)
*Natural Science Electives, 12 Hours:
- BIOL 211 - Fundamentals of Biology I: Molecular and Cellular Function (4cr)
- BIOL 212 - Fundamentals of Biology II: Diversity of Life (4cr)
- CHEM 207 - General Chemistry I (3 cr)
- CHEM 207L - General Chemistry I Laboratory (1 cr)
- CHEM 209 - General Chemistry II (3 cr)
- CHEM 209L - General Chemistry II Laboratory (1 cr)
- PHYS 221 - General Physics I (3 cr)
- PHYS 221L - General Physics I Laboratory (1 cr)
- PHYS 222 - General Physics II (3 cr)
- PHYS 222L - General Physics II Laboratory (1 cr)
Business Electives, 6 Hours:
- ACCT 201 - Principles of Financial Accounting I (3cr)
- BADM 311 - Exploring Entrepreneurship (3cr)
- BADM 338 - Business Information Systems (3 cr)
- BADM 340 - Principles of Marketing (3cr)
- BADM 370 - Entrepreneurial Organization and Financing (3 cr)
- BADM 396 - Marketing Research (3 cr)
Advanced Analytics Concentration, 31 Hours:
Four-Year Course Progression
Data Analytics, Advanced Analytics Concentration
| FALL |
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FIRST YEAR |
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SPRING |
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FIRST YEAR |
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| Sub./Course No. |
Tier |
Title |
Credit |
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Sub./Course No. |
Tier |
Title |
Credit |
| MATH 207 |
1 |
Calculus I (MA) |
4 |
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MATH 208 |
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Calculus II |
4 |
| DATA 118 |
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Intro to Data Analysis |
3 |
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CIS 104 |
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Intro to CIS |
3 |
| Core Curriculum |
1 |
ENGL 101 |
3 |
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Core Curriculum |
1 |
History |
3 |
| Elective |
1 |
Natural Sciences (Biology, Chemistry, or Physics) - 1 of 3 |
4 |
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Elective |
1 |
Natural Sciences (Biology, Chemistry, or Physics) - 2 of 3 |
4 |
| Core Curriculum |
2 |
GSPE 210 (Fitness for Life) |
3 |
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FYEX 101 |
1 |
First-Year Seminar |
1 |
| ENGR 100 |
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Freshman Seminar |
1 |
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TOTAL |
15 |
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TOTAL |
18 |
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| FALL |
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SECOND YEAR |
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SPRING |
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SECOND YEAR |
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| Sub./Course No. |
Tier |
Title |
Credit |
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Sub./Course No. |
Tier |
Title |
Credit |
| MATH 307 |
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Linear Algebra |
3 |
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MATH 314 |
1 |
Statistics |
3 |
| Elective |
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Natural Sciences (Biology, Chemistry, or Physics) - 3 of 3 |
4 |
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MATH 254 |
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Discrete Mathemetics |
3 |
| Elective |
2 |
Social Sciences |
3 |
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CIS 211 |
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Computer Language Concepts |
3 |
| Elective |
2 |
Arts |
3 |
|
Elective |
2 |
Social Sciences |
3 |
| ENGL 104 |
1 |
Science and Technical Writing |
3 |
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Elective |
2 |
Humanities |
3 |
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TOTAL |
16 |
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TOTAL |
15 |
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| FALL |
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THIRD YEAR |
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SPRING |
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THIRD YEAR |
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| Sub./Course No. |
Tier |
Title |
Credit |
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Sub./Course No. |
Tier |
Title |
Credit |
| MATH 309 |
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Calculus III |
4 |
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MATH 318 |
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Numerical Analysis |
3 |
| MATH 321 |
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Probability and Statistics |
3 |
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CIS 321 |
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Data and File Structures |
3 |
| CIS 234 |
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Intro to Networking |
3 |
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CIS 388 |
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Database Mgt Systems |
3 |
| CIS 314 |
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Advanced Comp Lan Concepts |
3 |
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Elective |
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CIS 310 or 372 |
3 |
| Core Curriculum |
2 |
Humanities |
3 |
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Elective |
2 |
Social Sciences |
3 |
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TOTAL |
16 |
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TOTAL |
15 |
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| FALL |
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FOURTH YEAR |
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SPRING |
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FOURTH YEAR |
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| Sub./Course No. |
Tier |
Title |
Credit |
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Sub./Course No. |
Tier |
Title |
Credit |
| DATA 489 |
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Data Capstone Project |
1 |
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DATA 490 |
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Data Capstone Project |
2 |
| MATH 329 |
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Mathematical Modeling |
3 |
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DATA 418 |
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Big Data Analytics |
3 |
| Elective |
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CIS 324, 332, or 361 |
3 |
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MATH 354 |
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Operations Research |
3 |
| ENVS 390 |
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Geographic Info Systems |
3 |
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Elective |
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CIS 310 or 372 |
3 |
| Elective |
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Business |
3 |
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Elective |
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Business |
3 |
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TOTAL |
13 |
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TOTAL |
14 |
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DEGREE TOTAL |
122 |
| September 17, 2019 |
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Biology Concentration, 31-32 Hours:
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