数据科学与大数据技术(数据科学)

上海纽约大学的数据科学与大数据技术(数据科学)专业,旨在培养具有全球视野、接受广泛教育,拥有创造性思考能力的以数据驱动为思维的领导者。数据科学包括使用计算机化的方法分析大量的数据并从中提取知识。数据科学涉及广泛的数据类型,包括科学和经济数字数据、文本数据以及图像和视频数据。这门新学科借鉴了若干既有学科领域的方法和工具,包括计算机科学、统计学、应用数学和经济学。数据科学在几乎所有学科中都有应用,包括社会学、政治学、数字人文科学、语言学、金融学、市场营销学、城市信息学、医学信息学、基因组学、图像内容分析以及工程和物理科学的所有分支学科。随着网络、移动传感器、智能手机和互联网连接仪器数据的不断增长,预计未来几年数据科学的重要性将会加速。

 

完成本专业的学生不仅具有计算机编程、统计学和数据挖掘方面的专业知识,而且深知如何将这些工具结合起来,解决所选学科当前存在的问题,这包括社会科学、物理学、工程学等学科。数据科学与大数据技术(数据科学)专业的学生毕业以后,有各种各样的职业发展道路。学生可以继续就读数据科学、计算机科学、社会科学、商学、金融学、医学、法律、语言学、教育等领域的硕士研究生项目。除了继续深造,学生也有宽广的职业道路。不仅可以寻求在谷歌、脸书、亚马逊、微软等传统数据驱动的计算机科学公司和初创公司工作,也可加盟运输、能源、医疗和金融领域的公司,或在城市规划、执法、教育等领域的公共部门就职。

 

Degree Requirements – 2017-18 Bulletin

* = offered in Fall ’18 in Shanghai

Prerequisite Courses
CSCI-SHU 101 Introduction to Computer Science* Pre-req: ICP or placement exam
Choose one Statistics course from the following four
MATH-SHU 235 Probability and Statistics* Pre-req: Calculus
MATH-SHU 233 Honors Theory of Probability* Pre-reqs: “Honors Analysis 1” and “Linear Algebra or Honors Linear Algebra 1” 
BUSF-SHU 101 Statistics for Business and Economics*  
BIOL-SHU 42 Biostatistics  

Note: SOCS-SHU 210 Statistics for the Behavioral Sciences does not count towards this requirement.

Programming/Computer Science Courses
CSCI-SHU 210 Data Structures* Pre-req: ICS, or A in ICP, or A- in ICP and enrolled in ICS concurrent to Data Structures
Math Courses
MATH-SHU 123 OR ECON-SHU 5 / ECON-SHU 201 Multivariable Calculus* OR Math for Economists (2 credits or 4 credits)
MATH-SHU 140 OR MATH-SHU 265 OR MATH-SHU 141 Linear Algebra* OR Linear Algebra and Differential Equations* OR Honors Linear Algebra I*
Data Analysis Courses

ECON-SHU 301 OR

MATH-SHU 234

EconometricsOR

The Mathematics of Statistics and Data Science*

Pre-req: a prior Stats course

Pre-reqs: Multivariable Calculus, Linear Algebra, and a prior Stats course

CSCI-SHU 360 Machine Learning* Pre-req: a prior Stats course
CSCI-SHU 235 OR INTM-SHU 230-002 Information Visualization OR Generative Language (Note: This course was offered in Fall 2017. Future course offering is dependent on faculty availability.)

Pre-req: Data Structures

Pre-req: None

Data Management Course
CSCI-SHU 213 / CS-UY 3083 Databases* Pre-req: ICS
Concentration Courses
2 domain-area courses
Senior project or another domain-area course

Note: For a concentration in Finance, students need to take all four courses listed below.

Concentration Options
Domain-Area Courses for Concentration in Finance
ECON-SHU 3 Microeconomics*
BUSF-SHU 250 Principles of Financial Accounting*
BUSF-SHU 202 Foundations of Finance*
BUSF-SHU 303 Corporate Finance*
No senior project required. 13 courses total.
Domain-Area Courses for Concentration in Economics
ECON-SHU 3 Microeconomics*
ECON-SHU 1 Macroeconomics*
Senior project or approved quantitative economics course (see course list here, scroll down to "Concentration in Economics courses" section)
Students can take Math for Economists (2 credits or 4 credits) en lieu of Multivariable Calculus.

6 economics courses in program. 12 courses total.

Domain-Area Courses for Concentration in Genomics
BIOL-SHU 21 Foundations of Biology 1 and lab
BIOL-SHU 22 Foundations of Biology 2 and lab*
BIOL-SHU 261 Bioinformatics*
  Senior Project

Foundations of Biology 1 can count as core curriculum course. 12 courses total.

Domain-Area Courses for Concentration in Computer Science
CSCI-SHU 420 Senior Project
Two courses from:
CENG-SHU 202 OR CSCI-UA 201 Computer Architecture OR Computer Systems Organization
CSCI-SHU 215 Operating Systems*
CSCI-SHU 2314 Discrete Mathematics*
CS-UY 2413 / CSCI-UA 310 / CSCI-SHU 220 Algorithms

12 courses total.

Domain-Area Courses for Concentration in Mathematics
Three approved math courses in addition to Multivariable Calculus and Linear Algebra. (See approved math course list here, scroll down to "Concentration in Mathematics courses" section.)
Students who wish to take honors math courses could take:
MATH-SHU 201 Honors Calculus*
MATH-SHU 328 Honors Analysis 1
MATH-SHU 329 Honors Analysis 2*
MATH-SHU 141 Honors Linear Algebra 1*
MATH-SHU 142 Honors Linear Algebra 2
  Senior Project

12 courses total.

Domain-Area Courses for Concentration in Artificial Intelligence
  Senior Project
Two courses from:
CSCI-UA 480 Natural Language Processing
CSCI-SHU 372 / CS-UY 4613 Artificial Intelligence
  Advanced Topics in Machine Learning

12 courses total.

Domain-Area Courses for Concentration in Social Science
Three courses from:
ECON-SHU 3 Microeconomics*
PSYC-SHU 101 Introduction to Psychology*
SOCS-SHU 150 Introduction to Comparative Politics
SOCS-SHU 160 Introduction to International Politics*
SOCS-SHU 141 Methods of Social Research
ECON-SHU 213 Causal Inference in the Social Sciences
SOCS-SHU 318 Ethnographic Methods

12 courses total.

Double Majors

If you are interested in pursuing a Data Science major along with an Economics major, a Computer Science major, a Business major, or a Mathematics major, these are the relevant guidelines:

  • The course requirements need to be satisfied in both majors.
  • More than two courses may be double-counted between the majors but each major must have at least 7 singly-counted courses.
  • The double major must be approved by the faculty and Deans responsible for the two majors. Students should first work with their academic advisor to initiate this process.
  • Double-counted courses cannot also be counted for the core curriculum requirements since each course can only count for at most two requirements.

 

You can view sample plans on how a major in Data Science and an Economics major, a Computer Science major, a Business major, or a Mathematics major may be completed HERE.

Recommended Fall 2018 Courses

Recommended Fall 2018 Courses for Rising Sophomores

  1. Perspectives on the Humanities
  2. Introduction to Programming / Introduction to Computer Science / Data Structures
  3. Math (Multivariable Calculus, Linear Algebra, or Linear Algebra and Differential Equations) or Statistics course
  4. Chinese Language Course / English for Academic Purposes
Faculty Mentors

Prof. Keith Ross, Dean of Engineering and Computer Science Office: 1415 | Email: kwr200@nyu.edu | Profile

 

Prof. Yuxin Chen, Dean of Business Office: 1124 | Email: yc18@nyu.edu | Profile

Minor in Data Science: 5 courses
CSCI-SHU 101 Introduction to Computer Science*
CSCI-SHU 210 Data Structures*

ECON-SHU 301 OR

MATH-SHU 234

Econometrics*

The Mathematics of Statistics and Data Science*

CSCI-SHU 360 Machine Learning*
One Statistics course from the following four
MATH-SHU 235 Probability and Statistics*
BUSF-SHU 101 Statistics for Business and Economics*
MATH-SHU 233 Honors Theory of Probability*
BIOL-SHU 42 Biostatistics
Note: Computer Science majors should additionally take Information Visualization OR Databases to earn at least 12 unique credits for the minor.
Undergraduate Research