MSDS Program Requirements

Summer 2024: DATA SCIENCE BOOT CAMP

• EDA and Visualization (1)
• Computation for Data Science (1)
• Review of Probability and Statistics (1)
• Completion of Linear Algebra Exam with Passing Grade (2 attempts)

FALL MODULE 1

• Linear Regression Analysis (2)
• Relational Databases (2)
• Communications for Data Science (1)
• Data Acquisition (2)
• Seminar Series I (0)

FALL MODULE 2

• Introduction to Machine Learning (2)
• Machine Learning Laboratory (1)
• Data Structures and Algorithms (1) 
• Distributed Computing (1)
• Practicum I (1)
• Seminar Series II (0)

INTERSESSION

• Experiments in Data Science (2)

SPRING MODULE 1

• Distributed Data Systems (2)
• Advanced Machine Learning (2)
• Time Series Analysis (1)
• Practicum II (2)
• Seminar Series III (0)

Spring MODULE 2

• Ethics in Data Science (1)
• Deep Learning for AI (2)
• Special Topics in AI I (2) *
• Practicum III (2)
• Seminar Series IV (0)

Summer 2025

• Special Topics in AI II (2) *
• Practicum IV (1)
• Seminar Series V (0)

Fall 2025: DATA ENGINEERING CONCENTRATION (OPTIONAL)

FALL MODULE 1

• Machine Learning Operations (2)
• Data Lakehouse (2)

FALL MODULE 2

• Data Stream Processing (2)
• Data Architecture (2)

* Special Topics may include topics like reinforcement learning in AI, natural language processing or computer vision.

In addition to the above, all students complete 10 hours of required interview skills training to be completed outside of class time. Trainings are provided by the Data Science program and may include but are not limited to: workshops, mock interviews, resume editing and guest lecturers.