Computer Science, Data Science Track, B.S.

Students majoring in computer science with a particular interest in data science may enroll in the computer science data science track. In addition to the regular requirements of the Computer Science, B.S. , students in the data science track must complete:

Requirement

CMSC 462 - Introduction to Data Science (3.00)

Data Core List

You must complete one course from the following:

CMSC 436 - Data Visualization (3.00)
CMSC 461 - Database Management Systems (3.00)
CMSC 478 - Introduction to Machine Learning (3.00)

Data Electives

You must complete two courses from the following:

CMSC 427 - Wearable Computing (3.00)
CMSC 433 - Scripting Languages (3.00)
CMSC 435 - Computer Graphics (3.00)
CMSC 442 - Information and Coding Theory (3.00)
CMSC 455 - Numerical Computations (3.00)
CMSC 471 - Introduction to Artificial Intelligence (3.00)
CMSC 473 - Introduction to Natural Language Processing (3.00)
CMSC 475 - Introduction to Neural Networks (3.00)
CMSC 476 - Information Retrieval (3.00)
CMSC 483 - Parallel and Distributed Processing (3.00)
CMSC 491 - Special Topics in Computer Science (3.00) (Hadoop, Semantic Web, Computer Vision, Mobile)
CMPE 422 - Digital Signal Processing (3.00)
CMPE 491 - Special Topics in Computer Engineering (3.00) (Data Driven Signal Processing)

Note

If you believe you have an elective other than these that is related to data science, please email the program director to see if we will consider it as a valid elective for the track.