Portland-State-University 2020-2021 Bulletin

B.S. in Data Science

The degree program requires a basic core of courses (61 credits) and elective courses (12-15 credits). This structure gives flexibility to the program that allows students to pursue special areas of interest in applications of data science. The program is designed to provide a foundation for more advanced work and/or a basis for employment in business, industry, and government.

Requirements

In addition to meeting the general University degree requirements, the major in data science must complete the following requirements.

Courses

Mth 231Data Science Seminar

2
Mth 251Calculus I

4
Mth 252Calculus II

4
Mth 261Introduction to Linear Algebra

4
Mth 253Calculus III

4
 
Mth 271Mathematical Computing

4
or
CS 161Introduction to Programming and Problem-Solving

4
  
Mth 343Applied Linear Algebra

4
CS 250Discrete Structures I

4
Stat 361Introduction to Statistical Methods

4
Stat 363Statistical Computing and Data Visualization in R

4
CS 350Algorithms and Complexity

4
Stat 364Modern Regression Analysis

4
Mth 371Large-Scale Data Algorithms

4
Stat 387Introduction to Statistical Learning

4
CS 486Introduction to Database Management Systems

4
Stat 409Data Science Practicum

3

Additional requirements chosen from approved list of electives

Mth/Stat (two)Approved 400-level Mth or Stat courses

6-7
Other (two)Approved 300- or 400-level courses

6-8
Check with the department for the list of additional courses, including omnibus-numbered courses, which may be approved as electives.

Approved Mth/Stat Electives are:

Mth 451Numerical Calculus I

3
Mth 452Numerical Calculus II

3
Mth 453Numerical Calculus III

3
Mth 461Graph Theory I

3
Mth 462Graph Theory II

3
Mth 464Numerical Optimization I

3
Mth 465Numerical Optimization II

3
Stat 461Introduction to Mathematical Statistics I

3
Stat 462Introduction to Mathematical Statistics II

3

Approved electives from other disciplines are:

Actg 335Accounting Information Systems and Analytic Fundamentals

4
Comm 389UEthics of Human Communication

4
CS 430PInternet, Web, & Cloud Systems

4
CS 441Artificial Intelligence

4
CS 445Machine Learning

4
G 324Data Management and Analysis

5
GSCM 412Introduction to Enterprise Resource Planning Systems

4
ISQA 481Blockchain Fundamentals

4
Mgmt 442Human Resources Information Systems & People Analytics

4
PHE 350Health and Health Systems

4
PHE 427Introduction to Health Informatics

4
PHE 450Epidemiology

4
Phl 314UComputer Ethics

4

Total Credit Hours: 73-76