M.S. in Data Science
The M.S. degree in Data Science prepares students to pursue careers in the emerging and high-growth fields of data science and big data. It combines in-depth understanding with hands-on skills, technologies, techniques, and analysis tools for data science.
Graduates of this program will have the theoretical, practical, and comprehensive knowledge to manage and analyze large-scale, complex data to enable efficient data-driven discoveries and decisions.
To complete the requirements for the Master of Science in Data Science, students must successfully complete 12 courses (36 graduate semester credits) and maintain a GPA of 2.7.
Current and inactive students who enrolled in this program prior to spring 2015 or enrolled in this program from spring 2015 through fall 2017 may opt to remain with the graduate program requirements from their current catalog, or move forward to the newest graduate program requirements for the M.S. degree in Data Science.
Complete a total of 12 three-credit courses (36 graduate credits).
Required Courses [10 courses]:
- SEIS 603 Foundations of Software Development - Python* (waived for appropriate prior programming experience)
- SEIS 610 Software Engineering
- SEIS 630 Database Management Systems and Design
- SEIS 631 Foundations of Data Analysis
- SEIS 632 Data Analytics and Visualization
- SEIS 732 Data Warehousing and Business Intelligence
- SEIS 734 Data Mining and Predictive Analytics
- SEIS 736 Big Data Architecture
- SEIS 737 Big Data Management
- SEIS 763 Machine Learning
*Beginning Spring 2018, SEIS 603 Foundations of Software Development - Python replaces SEIS 601 as a requirement.
Electives [2 or 3 courses]:
Choose two electives (or three electives if SEIS 603 is waived) from any course listed in the Graduate Programs in Software course catalog.
Transfer courses: Students may request a transfer of up to two graduate courses (six semester credits) from their previously attended, regionally accredited institution(s) towards their GPS Master of Science degree. The transfer courses must have been taken at the graduate level. The transfer school must be regionally accredited. For more information on transfer courses, please see 'Transfer Courses' listed under Academic Policies and Procedures.
View SEIS Course Catalog.
Suggested course sequence* with SEIS603 required:
Semester 1: SEIS 603 and SEIS 610
Semester 2: SEIS 630 and SEIS 632
Semester 3: SEIS 631 and SEIS 732
Semester 4: SEIS 734 and SEIS 736
Semester 5: SEIS 737 and 1 Elective
Semester 6: SEIS 763 and 1 Elective
Suggested course sequence* with SEIS603 waived:
Semester 1: SEIS 610 and SEIS 630
Semester 2: SEIS 631 and SEIS 632
Semester 3: SEIS 732 and SEIS 734
Semester 4: SEIS 736 and SEIS 737
Semester 5: SEIS 763 and 1 Elective
Semester 6: 2 Electives
* Course sequences assume a fall semester start. Please consult with your advisor if you have questions.
- A bachelor's degree in any discipline from a regionally-accredited educational institution in the U.S. (or international equivalent).
- An overall grade-point-average (GPA) of at least 2.7. (Applicants with a GPA less than 2.7 will be considered for provisional admission with their professional experience factored into the decision.)