The Master of Science in Applied Data Science for Business (MSADSB) focuses on the needs of business leaders to understand digital transformation and the importance of data science across functional areas. In addition to the core curriculum, students must complete at least one approved certificate plus additional credits from any of the other approved certificates or electives to complete a minimum of 45 credits.
The core curriculum imparts the business fundamentals of accounting and strategy; the critical business implications of digital transformation and the organizational change that it will necessitate; the regulatory, ethical, and cybersecurity imperatives governing digital transformation; and an introduction to technical skills.
- Full Time: 12 Months
- Part Time: 24 Months
The MSADSB program contains some recommended synchronous components in select courses.
Core Curriculum (22 - 28 credits)
- Digital Transformation of Business: MGMT 518 (4 credits)
- Digital Transformation: Security, Privacy & Ethics: MGMT 519 (4 credits)
- Leading Organizational Change During Digital Transformation: MGMT 520 (4 credits)
- Special Topics in Data Science, Technology for Business: Data Structures for Business Applications: BTA 522 (2 credits)
- Special Topics in Data Science: Machine Learning Applications for Managers: BTA 523 (2 credits)
- Managerial and Cost Accounting: GSCM 512 or Financial Reporting: ACTG 511 or Managerial Accounting and Control: ACTG 513 (4 credits)
- Foundations of Strategy: MGMT 511 (2 credits)
- Data Visualization: BTA 521 (2 credits) (Required in core if there isn't a data visualization course in your chosen certificate)
- Capstone Project: BA-525 (4 Credits) (NOTE this is not required for those
taking the OHSU – HCI Certificate)
Certificate Specialization + Electives (16-21 credits)
The certificates approved for this master’s program are:
Certificate Option 1: Business Intelligence and Analytics (17 Credits)
Prerequisites: Either Online Primer--Statistics (No credit: Pass/No Pass) or STAT 451/551 or STAT 461/561
Fall
- ETM 540 (4 credits) (Online): Operations Research Management Science.
- BTA 516 (3 Credits) (Online): Applied Regression Analysis
- Prerequisites: Statistics Primer: Online, No Credit, Pass/No Pass
Winter
- ETM 538 (4 credits) (Online): Decision Support Systems: Data Warehousing
- ETM-527: “Data Mining Techniques for Business” (4 Credits)
Spring
- BTA 521 (2 credits) (Online): Data Visualization
Certificate Option 2: Enterprise Analytics (16 credits) - Launching Fall 2023
Fall
- BTA 511 – Business Data Management with SQL (4 Credits)
Winter
- BTA 512 – Business Data Analytics with Python (4 Credits)
- GSCM 521- Global Information Systems & Data Analytics (4 Credits)
Spring
- BTA 553 – Enterprise Data Visualization for Decision Making (4 Credits)
Certificate Option 3: Clinical and Health Informatics (21 credits)
Prerequisites: contact OHSU's Department of Medical Informatics and Clinical Epidemiology
The curriculum consists of seven, 3-credit classes for a total of 21 credits. Three courses are required:
- BMI 510 – Introduction to Biomedical Informatics
- BMI 512 – Clinical Information Systems
- BMI 517 – Organizational Behavior and Management
Four additional electives (12 credits) will be chosen from offerings in the current course catalog.
Visit OHSU's Department of Medical Informatics and Clinical Epidemiology for details.
Visit the Bulletin for course details.
Sample schedule coming soon.
Learn More about MS in Applied Data Science for Business