A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Minor
- Total credits (published)
- 84
- Catalog edition
- 0028
- Checklist type
- degree-program
- Description
- Through seven required subjects, the Minor in Statistics and Data Science provides students with a working knowledge base in statistics, probability, and computation, along with an ability to perform data analysis.
Identifiers
- IPEDS UNITID
- 166683
- CourseShelf checklist
- CK_166683_f803d8ac
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Foundation 1
Choose 12 units of the following: · 3 items
- Choose 12 units of the following:Not resolved to a course12
- 6.1000Introduction to Programming and Computer ScienceNot resolved to a course
- 6.100A& 6.100BIntroduction to Computer Science Programming in Pythonand Introduction to Computational Thinking and Data ScienceNot resolved to a course
Foundation 2
Choose 1 of the following · Select one of the following: · 4 items
- Select one of the following:Not resolved to a course12
- 2.087Engineering Mathematics: Linear Algebra and ODEsNot resolved to a course
- 18.03Differential EquationsNot resolved to a course
- 18.06Linear AlgebraNot resolved to a course
Statistics 1
Choose 1 of the following · Select one of the following: · 8 items
- Select one of the following: 1Not resolved to a course12
- 1.010Probability and Causal InferenceNot resolved to a course
- 6.3700Introduction to ProbabilityNot resolved to a course
- 9.07Statistics for Brain and Cognitive ScienceNot resolved to a course
- 14.30Introduction to Statistical Methods in EconomicsNot resolved to a course
- 15.069Applied Probability and StatisticsNot resolved to a course
- 16.09Statistics and ProbabilityNot resolved to a course
- 18.600Probability and Random VariablesNot resolved to a course
Statistics 2
Choose 1 of the following · Select one of the following: · 4 items
- Select one of the following:Not resolved to a course12
- 14.32Econometric Data ScienceNot resolved to a course
- 15.075[J]Statistical Thinking and Data AnalysisNot resolved to a course
- 18.650[J]Fundamentals of StatisticsNot resolved to a course
Computation & Data Analysis
Choose 2 of the following · Select two of the following: · 12 items
- Select two of the following:Not resolved to a course24
- 1.00Engineering Computation and Data ScienceNot resolved to a course
- 2.086Numerical Computation for Mechanical EngineersNot resolved to a course
- 6.3800Introduction to InferenceNot resolved to a course
- 6.3900Introduction to Machine LearningNot resolved to a course
- 6.8301Advances in Computer VisionNot resolved to a course
- 6.8711[J]Computational Systems Biology: Deep Learning in the Life SciencesNot resolved to a course
- 14.36Advanced EconometricsNot resolved to a course
- 15.053Optimization Methods in Business AnalyticsNot resolved to a course
- 16.90Computational Modeling and Data Analysis in Aerospace Engineering 2Not resolved to a course
- 18.065Matrix Methods in Data Analysis, Signal Processing, and Machine LearningNot resolved to a course
- 18.642Topics in Mathematics with Applications in Finance 2Not resolved to a course
Capstone Subject
Choose 1 of the following · Select one of the following: · 3 items
- Select one of the following:Not resolved to a course12
- IDS.012[J]Statistics, Computation and ApplicationsNot resolved to a course
- 6.C01& C011Modeling with Machine Learning: from Algorithms to Applicationsand Modeling with Machine Learning for Computer Science 3Not resolved to a course
Source. Massachusetts Institute of Technology, catalog 0028 — https://catalog.mit.edu/interdisciplinary/undergraduate-programs/minors/statistics-data-science/. Captured page pages/0028.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.