Major in Data Science

Major Requirements

Required Courses for All Major Options 01:198:142/01:960:142 Data 101: Data Literacy 01:960:291 Statistical Inference for Data Science or one of the following equivalents: 01:960:212 Statistics II 01:960:384 Intermediate Statistical Analysis 33:136:385 Statistical Methods in Business One of the following Data Management courses: 01:198:210 Data Management for Data Science 01:960:295 Data Management and Wrangling with R 04:547:221 Fundamentals of Data Curation and Management 01:640:250 Introductory Linear Algebra 04:189:220 Data in Context

B.A. in Data Science-Statistics Track NB219TJ (must do a Minor, except a Minor in Statistics)

01:640:136 Calculus II or 01:640:/152 Calculus II 01:198:111 Intro Comp Science 01:198:112 Data Structures 01:960:463 Regression Methods 01:960:486 Applied Statistical Learning One of the following: 01:960:365 Bayesian Data Analysis 01:960:467 Applied Multivariate Analysis 01:960:490 Intro to Experimental Design

B.A. in Data Science-Societal Impact Track NB219IJ (must do a Minor)

01:640:135 Calculus I or 01:640:151 Calculus I 01:960:463 Regression Methods 01:960:486 Applied Statistical Learning 04:189:103 IT and Informatics 04:547:201 Information Technology Fundamentals 04:547:321 Information Visualization One of the following: 01:960:365 Bayesian Data Analysis 01:960:467 Applied Multivariate Analysis 01:960:490 Intro to Experimental Design

B.S. in Data Science-Computer Science Track NB219SJ

01:640:152 Calculus II 01:640:251 Multivariable Calculus 01:198:111 Introduction to Computer Science 01:198:112 Data Structures 01:198:205 Intro to Discrete Structures I 01:198:206 Intro to Discrete Structures II 01:198:336 Principles of Information and Data Management 01:198:439 Introduction to Data Science 01:198:461 Machine Learning Principles or, 01:198:462 Introduction to Deep Learning 01:960:463 Regression Methods 01:960:486 Applied Statistical Learning 04:547:321 Information Visualization

B.S. in Data Science-Economics Track NB219EJ

01:640:136 Calculus II or /01:640:152 Calculus II 04:547:321 Information Visualization 01:220:102 Intro to Microeconomics 01:220:103 Intro to Macroeconomics 01:220:320 Intermediate Microeconomics Analysis 01:220:321 Intermediate Macroeconomic Analysis 01:220:322 Econometrics 01:220:421 Economic Forecasting and Big Data 01:220:422 Advanced Econometrics for Microeconomic Data or 01:220:423 Advanced Time Series and Financial Econometrics 01:220:424 Advanced Analytics for Economics

B.S. in Data Science-Chemical Data Science Track NB219CJ

01:640:152 Calculus II 01:198:111 Introduction to Computer Science One of the following: 01:160:161 General Chemistry 01:160:159 General Chemistry for Engineers 01:160:163 Honors General Chemistry 01:160:165 Extended General Chemistry 01:160:162 General Chemistry 01:160:160 General Chemistry for Engineers 01:160:164 Honors General Chemistry 01:160:166 Extended General Chemistry 01:160:171 Introduction to Experimentation 01:160:307 Organic Chemistry 01:160:315 Honors Organic Chemistry 01:160:308 Organic Chemistry 01:160:316 - Honors Organic Chemistry Nine credits from the following: 01:160:251 Analytical Chemistry (3) 01:160:309 Organic Chemistry Laboratory (2.5) 01:160:348 Instrumental...