MSDS Program Requirements

Summer 2023: DATA SCIENCE BOOT CAMP

• EDA and Visualization (1)
• Computation for Analytics (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 (1)
• Communications for Analytics (1)
• Data Acquisition (2)
• Seminar Series I (0)

FALL MODULE 2

• Introduction to Machine Learning (2)
• Machine Learning Laboratory (1)
• Time Series Analysis (2)
• 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)
• Data Structures and Algorithms (1)
• Practicum II (2)
• Seminar Series III (0)

Spring MODULE 2

• Ethics in Data Science (1)
• Deep Learning (2)
• Data Science Entrepreneurship (2)
• Practicum III (2)
• Seminar Series IV (0)

Summer 2024

• Special Topics in Data Science (2) *
• Practicum IV (1)
• Seminar Series V (0)

* 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.