Coursework and Degree Requirements
Effective Spring 2023, the M.S. in Data Science requires 10 courses (30 credits)., students must maintain a GPA of 2.7 or higher.
STEM Approved Program
Nine Required Courses:
- SEIS 603 Foundations of Python I
- SEIS 615 Cloud Computing
- SEIS 630 Database Management Systems and Design
- SEIS 631 Data Preparation and Analysis
- SEIS 632 Data Analytics and Visualization
- SEIS 732 Data Stores and Feature Design
- SEIS 745 Data Lake Engineering
- SEIS 763 Machine Learning or SEIS 639 Machine Learning for Healthcare
- SEIS 764 Artificial Intelligence or SEIS 735 AI Case Study for Healthcare
One Elective: Choose one SEIS elective from any course listed in the Graduate Programs in Software course catalog.
Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters.
Suggested course sequence with SEIS 603 required:
- Semester 1: SEIS 603 and SEIS 630
- Semester 2: SEIS 615 and SEIS 631
- Semester 3: SEIS 632 and SEIS 732
- Semester 4: SEIS 745 and SEIS 763 (or SEIS 639)
- Semester 5: SEIS 764 (or SEIS 735) and SEIS elective
Suggested course sequence with SEIS 603 waived:
- Semester 1: SEIS 630 and SEIS 615
- Semester 2: SEIS 631 and SEIS 632
- Semester 3: SEIS 745 and SEIS 732
- Semester 4: SEIS 763 (or SEIS 639) and SEIS elective
- Semester 5: SEIS 764 (or SEIS 735) and SEIS elective