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1 | Subject Code | Catalog Number | Course Title | Class Course Attribute Value Description | Pre-requisite | |||||||||||||||||||||
2 | CSCI-SHU | 220 | Algorithms | Data Science Elective Concentration in AI | Prereq for CSCI-SHU 220 is Data Structures AND (Discrete Math OR Linear Algebra OR Honors Linear Algebra). | |||||||||||||||||||||
3 | CSCI-SHU | 376 | Natural Language Processing | Data Science Elective Concentration in AI | Prereq for CSCI-SHU 376 is CSCI-SHU 11 Introduction to Computer Programming and (CSCI-SHU 360 Marchine Learning or MATH-SHU 235 Probability and Statistic or MATH-SHU 238 Theory of Probability) | |||||||||||||||||||||
4 | CSCI-SHU | 381 | Recommendation Systems | Data Science Elective Concentration in AI | Prereq for CSCI-SHU 381 is CSCI-SHU 360 Machine Learning or MATH-SHU 235 Probability and Statistic or MATH-SHU 238 Theory of Probability | |||||||||||||||||||||
5 | CSCI-SHU | 375 | Reinforcement Learning | Data Science Elective Concentration in AI | prereq for CSCI-SHU 375 is Machine Learning AND (Probability and Statistics OR Theory of Probability). | |||||||||||||||||||||
6 | DATS-SHU | 235 | Information Visualization | Data Science Elective Concentration in AI | Prereq or coreq for DATS-SHU 235 is CSCI-SHU 210 Data Structures. | |||||||||||||||||||||
7 | DATS-SHU | 200 | Topics in Machine Learning | Data Science Elective Concentration in AI | Prereq for DATS-SHU 200 is CSCI-SHU 11 Introduction to Computer Programming or placement test AND MATH-SHU 131 Calculus AND MATH-SHU 140 Linear Algebra/ MATH-SHU 141 Honors Linear Algebra I. | |||||||||||||||||||||
8 | ECON-SHU | 3 | Microeconomics | Data Science Elective Concentration in Economics | prereq for ECON-SHU 3 is Calculus or above. | |||||||||||||||||||||
9 | ECON-SHU | 1 | Principles of Macroeconomics | Data Science Elective Concentration in Economics | ||||||||||||||||||||||
10 | BUSF-SHU | 303 | Corporate Finance | Data Science Elective Concentration in Finance | Prereq for BUSF-SHU 303 is BUSF-SHU 202 | |||||||||||||||||||||
11 | BUSF-SHU | 202 | Foundations of Finance | Data Science Elective Concentration in Finance | Prereq for BUSF-SHU 202 is ECON-SHU 3 Microeconomics and (BUSF-SHU 101 Statistics for Business & Econ or MATH-SHU 235 Probability and Statistics) | |||||||||||||||||||||
12 | BUSF-SHU | 250 | Principles of Financial Accounting | Data Science Elective Concentration in Finance | Prereq for BUSF-SHU 250 is not open to first-semester students. | |||||||||||||||||||||
13 | ECON-SHU | 3 | Microeconomics | Data Science Elective Concentration in Finance | prereq for ECON-SHU 3 is Calculus or above. | |||||||||||||||||||||
14 | BIOL-SHU | 22 | Foundations of Biology II | Data Science Elective Concentration in Genomics | Prereq for BIOL-SHU 22 is BIOL-SHU 21 Foundations of Biology I and (MATH-SHU 131 Calculus or MATH-SHU 123 Multivariable Calculus or MATH-SHU 201 Honors Calculus). | |||||||||||||||||||||
15 | BIOL-SHU | 123 | Foundations of Biology Lab | Data Science Elective Concentration in Genomics | Pre-req or Co-req for BIOL-SHU 123 is (MATH-SHU 131 Calculus or MATH-SHU 123 Multivariable Calculus or MATH-SHU 201 Honors Calculus) and BIOL-SHU 21 Foundations of Biology I. | |||||||||||||||||||||
16 | BIOL-SHU | 261 | Genomics and Bioinformatics | Data Science Elective Concentration in Genomics | Prereq for BIOL-SHU 261 is that co-req/pre-req (one of Stats course NEUR-SHU 100 or MATH-SHU 235 or MATH-SHU 234 or BUSF-SHU 101) AND pre-req (CSCI-SHU 11 ICP or CSCI-SHU 101 ICDS). | |||||||||||||||||||||
17 | BUSF-SHU | 202 | Foundations of Finance | Data Science Elective Concentration in Marketing | Prereq for BUSF-SHU 202 is ECON-SHU 3 Microeconomics and (BUSF-SHU 101 Statistics for Business & Econ or MATH-SHU 235 Probability and Statistics) | |||||||||||||||||||||
18 | BUSF-SHU | 250 | Principles of Financial Accounting | Data Science Elective Concentration in Marketing | Prereq for BUSF-SHU 250 is not open to first-semester students. | |||||||||||||||||||||
19 | ECON-SHU | 3 | Microeconomics | Data Science Elective Concentration in Marketing | prereq for ECON-SHU 3 is Calculus or above. | |||||||||||||||||||||
20 | MKTG-SHU | 1 | Introduction to Marketing | Data Science Elective Concentration in Marketing | Prereq for MKTG-SHU 1 is not open to first-semester students. | |||||||||||||||||||||
21 | MATH-SHU | 329 | Honors Analysis II | Data Science Elective Concentration in Mathematics | Prereq for MATH-SHU 329 is Grade A in MATH-SHU 328 OR Grade C or better in MATH-SHU 328 (Honors Analysis I), and Grade C or better in MATH-SHU 141 Honors Linear Algebra I or (MATH-SHU 140 and MATH-SHU 148). | |||||||||||||||||||||
22 | MATH-SHU | 201 | Honors Calculus | Data Science Elective Concentration in Mathematics | Prereq is pre-placement by faculty based on high-school grades, or NYUSH “Honors Calculus and Honors Linear Algebra” placement exam, or A- or better in MATH-SHU 131 Calculus. Anti-requisite: MATH-SHU 143. | |||||||||||||||||||||
23 | MATH-SHU | 345 | Introduction to Stochastic Processes | Data Science Elective Concentration in Mathematics | prereq for MATH-SHU 345 is Grade of B or better in MATH-SHU 140 (Linear algebra) or MATH-SHU 141 (Honors Linear Algebra I), and MATH-SHU 235 (Probability and Statistics) or MATH-SHU 238 (Honors Theory of Probability). | |||||||||||||||||||||
24 | MATH-SHU | 234 | Mathematical Statistics | Data Science Elective Concentration in Mathematics | Prereq for MATH-SHU 234 is Grade C or better in either MATH-SHU 140 (Linear Algebra) or MATH-SHU 141 (Honors Linear Algebra I), and grade C or better in either MATH-SHU 235 (Probability and Statistics) or MATH-SHU 238 (Honors Theory of Probability). | |||||||||||||||||||||
25 | SOCS-SHU | 150 | Introduction to Comparative Politics | Data Science Elective Concentration in Poli Sci | ||||||||||||||||||||||
26 | PSYC-SHU | 234 | Developmental Psychology | Data Science Elective Concentration in Psychology | Prereq for PSYC-SHU 234 is PSYC-SHU 101 Intro to Pscyhology or its equivalencies. | |||||||||||||||||||||
27 | PSYC-SHU | 101 | Introduction to Psychology | Data Science Elective Concentration in Psychology | ||||||||||||||||||||||
28 | SOCS-SHU | 334 | Legal Psychology | Data Science Elective Concentration in Psychology | Pre-req for SOCS-SHU 334 is PSYC-SHU 101 Intro to Psychology or its equivalency OR SOCS-SHU 220 Law and Society in the US. | |||||||||||||||||||||
29 | BUSF-SHU | 101 | Statistics for Business and Economics | Data Science Foundational | ||||||||||||||||||||||
30 | CSCI-SHU | 101 | Introduction to Computer Science | Data Science Foundational | Prerequisite: CSCI-SHU 11 Introduction to Computer Programming or placement exam | |||||||||||||||||||||
31 | MATH-SHU | 235 | Probability and Statistics | Data Science Foundational | Prereq for MATH-SHU 235 is Grade C or better in either MATH-SHU 131 (Calculus) or MATH-SHU 201 (Honors Calculus). Anti-requisite: MATH-SHU 238 Honors Theory of Probability. | |||||||||||||||||||||
32 | CSCI-SHU | 220 | Algorithms | Data Science Required Data Analysis | Prereq for CSCI-SHU 220 is Data Structures AND (Discrete Math OR Linear Algebra OR Honors Linear Algebra). | |||||||||||||||||||||
33 | CSCI-SHU | 360 | Machine Learning | Data Science Required Data Analysis | Prereq for CSCI-SHU 360 is ICP, Calculus, Probability and Statistics OR Theory of Probability OR Statistics for Business and Economics OR Linear Algebra | |||||||||||||||||||||
34 | DATS-SHU | 235 | Information Visualization | Data Science Required Data Analysis | Prereq or coreq for DATS-SHU 235 is CSCI-SHU 210 Data Structures. | |||||||||||||||||||||
35 | ECON-SHU | 301 | Econometrics | Data Science Required Data Analysis | Prereq for ECON-SHU 301 is Statistics (BUSF-SHU 101 or MATH-SHU 233 or MATH-SHU 234 or MATH-SHU 235 or MATH-SHU 238 or SOCS-SHU 210 or SOCSC-UH 1010Q or ECON-UA 18 or ECON-UA 20 or STAT-UB 1 or STAT-UB 103 or an equivalent statistics course.) | |||||||||||||||||||||
36 | MATH-SHU | 234 | Mathematical Statistics | Data Science Required Data Analysis | Prereq for MATH-SHU 234 is Grade C or better in either MATH-SHU 140 (Linear Algebra) or MATH-SHU 141 (Honors Linear Algebra I), and grade C or better in either MATH-SHU 235 (Probability and Statistics) or MATH-SHU 238 (Honors Theory of Probability). | |||||||||||||||||||||
37 | CSCI-SHU | 213 | Databases | Data Science Required Data Management | Prereq for CSCI-SHU 213 is CSCI-SHU 210 Data Structures. | |||||||||||||||||||||
38 | MATH-SHU | 140 | Linear Algebra | Data Science Required Mathematics | Prereq for MATH-SHU 140 is Pre-placement by Faculty based on high-school grades, or NYU SH “Calculus and Linear Algebra” placement exam, or a grade of C or better in MATH-SHU 9 (Precalculus). Anti-Requisite: MATH-SHU 141. | |||||||||||||||||||||
39 | MATH-SHU | 151 | Multivariable Calculus | Data Science Required Mathematics | Prereq for MATH-SHU 151 is Grade C or better in either MATH-SHU 131 (Calculus) or MATH-SHU 201 (Honors Calculus). Anti-requisite: MATH-SHU 329 (Honors Analysis II). | |||||||||||||||||||||
40 | CSCI-SHU | 210 | Data Structures | Data Science Required Programming & Comp Science | Prereq for CSCI-SHU 210 is ICS or A- in ICP. | |||||||||||||||||||||
41 | DATS-SHU | 420 | Data Science Senior Project | Data Science Required Senior Project | Prereq for DS capstone is senior standing and primary major in Data Science. | DS capstone has been restructred. More detailed information TBA. | ||||||||||||||||||||
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