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DATA SCIENCE CONCENTRATION
Data science is an emerging interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge from data. The job-search website Glassdoor has ranked data scientist the best job for the last three years, and IBM predicts that, by 2020, the number of Data Science and Analytics job openings will increase by 364,000 to 2,720,000.
The Data Science Concentration at Scranton is designed to supplement a student's major, allowing the student to acquire core knowledge and skills in the field. Graduates of the concentration are expected to possess a solid and sufficient foundation in data science to pursue graduate studies in data science or a related field or to start a professional career in data science.
Students in Applied Computing, Applied Mathematics, and Computer Science are able to complete the concentration's requirements within their four-year plan of study by utilizing major electives, cognate electives, and/or free electives. Furthermore, upon completing the concentration, Applied Mathematics majors will have satisfied the requirements of the Computer Science minor.
Interested students should contact the program directors Dr. Jason Graham (jason.graham@scranton.edu) or Dr. Yaodong Bi (yaodong.bi@scranton.edu), preferably before their sophomore year.
| CURRICULUM REQUIREMENTS | ||||
|---|---|---|---|---|
| Dept. and No. | Course Title | Credits | ||
| DS 201 | Introduction to Data Science | 3 | ||
| DS 210 or MATH 310 |
Mathematical Methods for Data Science or Applied Probability and Mathematical Statistics |
3 or 4 |
||
| DS 362 | Data Driven Knowledge Discovery | 3 | ||
| MATH 114 | Calculus I | 4 | ||
| MATH 221 | Calculus II | 4 | ||
| MATH 351 | Linear Algebra | 3 | ||
| CMPS 134/134L | Computer Science I & Lab | 4 | ||
| CMPS 144/144L | Computer Science II & Lab | 4 | ||
| CMPS 240 | Data Structures and Algorithms | 3 | ||
| CMPS 340 | Introduction to Database | 3 | ||
| CMPS 341 | Database Systems | 3 | ||
| CMPS 372 | Applied AI & Machine Learning | 3 | ||
| TOTAL | 40 or 41 | |||
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Degree Programs
The department offers nationally competitive undergraduate programs in Computer Science and Applied Computing as well as a graduate program in Software Engineering. The Computer Science program is accredited by ABET/CAC.
The entire University of Scranton Course Catalog is available on the University of Scranton website. Select an option below for more information on a specific program (will redirect you to the University's course catalog).
Data Sciences Concentration
Data science is an emerging interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge from data. The job-search website Glassdoor has ranked data scientist the best job for the last three years, and IBM predicts that, by 2020, the number of Data Science and Analytics job openings will increase by 364,000 to 2,720,000.
The Data Science Concentration at Scranton is designed to supplement a student's major, allowing the student to acquire core knowledge and skills in the field. Graduates of the concentration are expected to possess a solid and sufficient foundation in data science to pursue graduate studies in data science or a related field or to start a professional career in data science.
Students in Applied Computing, Applied Mathematics, and Computer Science are able to complete the concentration’s requirements within their four-year plan of study by utilizing major electives, cognate electives, and/or free electives. Furthermore, upon completing the concentration, Applied Mathematics majors will have satisfied the requirements of the Computer Science minor.
Interested students should contact the program directors Dr. Jason Graham (jason.graham@scranton.edu) or Dr. Yaodong Bi (yaodong.bi@scranton.edu), preferably before their sophomore year.
Total Credits: 40 or 41
| Curriculum Requirements | |
|---|---|
| Dept. and No. | Credits |
| DS 201 | 3 |
| DS 210 or MATH 310 | 3 or 4 |
| DS 362 | 3 |
| MATH 114 | 4 |
| MATH 221 | 4 |
| MATH 351 | 3 |
| CMPS 134 / 134L | 4 |
| CMPS 144 / 144L | 4 |
| CMPS 240 | 3 |
| CMPS 340 | 3 |
| CMPS 341 | 3 |
| CMPS 372 | 3 |
| 40 or 41 | |
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