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Degree Programs


The department offers nationally competitive undergraduate programs in Computer Science, Information Technology, and Applied Computing as well as a graduate program in Software Engineering. The Computer Science program is accredited by ABET/CAC.

The following are the recommended plans of study/curriculum for the programs offered by the Department of Computing Sciences at The University of Scranton. The plan of study for the graduate program in Software Engineering (SE) encompasses all of the SE courses which can be found here.



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





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 2013
DS 210 or
MATH 310
3 or
4
DS 3623
MATH 1144
MATH 2214
MATH 3513
CMPS 134 / 134L4
CMPS 144 / 144L4
CMPS 2403
CMPS 3403
CMPS 3413
CMPS 3723
40 or 41

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