Sep 12, 2024  
2024-2025 University Catalog 
    
2024-2025 University Catalog

Data Science, B.S.


Data science is an interdisciplinary field of study which combines the power of mathematics, statistics, computer science, and domain specific expertise to uncover hidden insights and extract knowledge from data. Data has become a key asset that enables institutions to be effective, vigilant, and remain competitive in today’s dynamic environment. Potential applications are wide ranging and include healthcare, finance, transportation, security, manufacturing, entertainment, and retail. Employers are actively looking for those with strong technological skills who can harness the power of large-scale data in order to enhance informed decision makings. The Data Science program at RWU is a collaboration of several departments and programs, including Mathematics, Computer Science, Cybersecurity, Natural Sciences, and Business.

The Bachelors of Science (BS) in Data Science program provides students with strong theoretical and technical foundations of data science. Students learn a diverse set of skills, including data science principles, tools, and techniques across the entire data life-cycle; data privacy and security; and legal and ethical considerations. Students are prepared to integrate and implement those skills to find data-driven solutions for challenging real-world problems. They learn how to ask research questions, formulate hypotheses, design experiments, implement and evaluate different mathematical and computational approaches, and present outcomes in a scientific or professional community. Students in the BS program study mathematics and computer science in depth. They also select an area of application of data science, for example finance, public health or political science, and take a four course
sequence in the area of their choice. Prospective graduates are well prepared for graduate school or may choose career paths in many industries in rolls such as Data Scientist or Data Engineer.

Requirement 1: Programming Skills (1, Course, 4 Credits)


Take the following programming course. 

Requirement 2: Mathematical Skills (4 courses, 14 Credits)


Select following three required courses and one elective course to fulfill Mathematics requirements. 

Requirement 3: Statistical Skills (1 Course, 3 credits)


Select one  of the follwoing statistics course. 

Requirement 4: Computer Science Skills ( 3 courses, 10 Credits)


Select follwing two required courses and one more elective course to fulfill Computer Science requirements. 

Requirement 5: Database Management and Cloud Computing Skills ( 2 courses, 6 Credits)


Requirement 6: Core Data Science Skills (3 courses, 9 credits)


Select following three courses to fulfill core Data Science requirements.

Requirement 7: Interdisciplinary Domain Knowledge (4 courses, at least 12 credits)


Students will select four courses forming a coherent course of study in a single topic area that is an area of application for data science. Example areas of study may include:

  • Science: Biology/Marine-Biology/Chemistry/Physics/Environmental Science, etc
  • Business: Finance/Economics/Marketing/Management, etc
  • Cybersecurity
  • Public Health
  • OR other relevant field of study. 

Remarks: Course selection should be approved by the student’s advisor. At least one course must be at the 300 level or above. Students will be highly encouraged to pursue minor in their interested area of applications.  

Requirement 8: Data Science Senior Capstone (3 credits)


Students must fulfill all other requirements before taking this senior capstone course.

Total Required Credits = 48 core program credits + 12 domain requirement credits = 60 credits