Carnegie Mellon University
Pittsburgh, Pennsylvania
Degree:
BS
Statistics and Machine Learning
Location:
Department of Statistics and Data Science
College of Humanities and Social Sciences
Credits:
360 units
System:
Semester
Required Computer Science (or Related):
• Computing at Carnegie Mellon (3 units)
• 36-200 Freshman Reasoning with Data (9 units)
• Intermediate Statistics and Data Structures OR alterative (9 units)
• Advanced Data Analysis Electives (18 units)
• 36-401 Modern Regression (9 units)
• 36-402 Advanced Methods for Data Analysis (9 units)
• 36-225 Introduction to Probability Theory (9 units)
• 36-226 Introductin to Statistical Inference (9 units)
• 36-350 Statistical Computing
• 15-112 Fundamentals of Programming and Computer Science (12 units)
• 15-122 Principles of Imperative Computation (10 units)
• 15-351 OR 451 Algorithms and Advanced Data Structures OR Algorithm Design and Analysis (12 units)
• 15-301 OR 315 Introduction to Machine Learning (12 units)
• Advanced Elective Machine Learning (12 units)
Required Math:
• Calculus sequence (19-30 units)
• 21-122 Integration and Approximation (10 units)
• Linear Algebra (10 units)
• 21-127 Concepts of Mathematics (10 units)
• See "Other Requirements"
Required Science:
• See "Other Requirements"
Required Engineering:
None
Other Requirements:
• First Year Writing (9-18 units)
• Freshman Global Histories (9 units)
• Freshman Seminar (varies)
• Communicating: Language and Intrepretations Electives (18 units)
• Reflecting: Societies and Cultures Electives (18 units)
• Modeling: Mathematics and Experiments (27 units)
• Deciding: Social Sciences and Values (18 units)
• Creating: Designs and Productions (18 units)
• Electives (18 units)
Subfield Required:
No
Type:
n/a
Options:
n/a
Double or Dual Major Option(s):
• Double majors possible with conditions.
Related Majors:
• BS Computer Science
Good to Know:
• Students declare major starting second semester of Freshman year.
University's Webpage for this Program:
Catalog Year:
2022
