Applied Data Science
The MS in Applied Data Science degree from Bay Path University consists of 36 credits, 12 courses, and is offered completely online.
Our students come from a diverse backgrounds, with experience in social sciences, life sciences, management, and economics, as well as, more technical areas such as mathematics, engineering, and computer science. Both our Generalist Track and Specialist Track offer a broad curriculum that covers all of the major topics in data science.
- The goal of the Generalist Track is to prepare our students to be well-rounded and skillful data scientists and data analysts, regardless of their background.
- The goal of the Specialist Track is to prepare students to take on more data-centric roles on a data science team.
Students will choose their track at the end of the first course, ADS 521 Foundation of Data Science, which combines an introduction to data science and a comprehensive math review.
All students in the MS Applied Data Science program are required to complete 5 Common Core courses, 4 Track-Specific courses (Generalist or Specialist Tracks), and a choice of 3 Electives (as follows):
applied data science Common Core (5 courses):
ADS521 Foundations of Data Science
ADS534 Statistical Modeling
ADS637 Data Exploration and Visualization
ADS638 Database Systems
ads670 case analysis capstone
Generalist track courses:
ADS522 Data Analytics I
ADS523 Data Analytics II
ADS525 Machine Learning I
ADS526 Machine Learning II
specialist track courses:
ADS532 Probability for Data Analytics
ADS533 Statistical Inference for Data Analytics
ADS635 Data Mining I
ADS636 Data Mining II
Electives (choose 3): ADS650 Time Series Analysis, ADS652 Text Mining, ADS654 Deep Learning, OR ANY OTHER GRADUATE LEVEL COURSES FROM OTHER PROGRAMS APPROVED BY THE PROGRAM DIRECTOR
MATH PREP COURSE: If you are able to successfully complete the math in this online prep course, you can handle the math required for the Data Science Specialist Track. Free Calculus Prep Course