宾大社会政策数据分析硕士申请要求解析

摘要:作为针对数据科学领域的社会政策硕士，学制3-4个学期，主要培养数据分析能力，以便在未来就业中及时解决棘手问题，入读需要先修课程，更要对此感兴趣，下面留学Hanna老师就给您介绍下宾大社会政策数据分析硕士申请要求吧！

宾大社会政策数据分析硕士申请要求解析

1、学术成绩：本科学士学位，有卓越的学术潜力

“Bachelor’s degree and grade point average that reflects strong academic ability;”

2、先修课程：

在申请前需要至少上过一门统计分析课程和/或做过统计分析工作。没有编码或编程经验是必要的。所需的申请论文应解决申请人对数据分析的特殊兴趣。

3、标化成绩：

A minimum of 100 on the Internet-based (iBT) TOEFL or a minimum Overall Band Score of 7.5 on the IELTS is required.

4、对该领域感兴趣人群：

“A demonstrated interest in social policy, social justice, and/or social justice-oriented policy”

附加要求：

transcripts, experience, letters of recommendation, application statement, resume, and writing sample,

项目全称：Master of Science in Social Policy (MSSP)+DA

STEM：是

课程设置：

MSSP 6010 The Power of Partnerships between Government, Non-profits, & the Private Sector

MSSP 6060 Data for Equitable Justice Lab

MSSP 6070 Practical Programming for Data Science

MSSP 6080 Practical Machine Learning Methods

MSSP 6090 Invisible Injustices: How Policy & Bureaucracy Create (& Hide) Diff. & Power

MSSP 6280 Policy: Analysis of Issues, Strategy and Process

MSSP 6290 Research and Evaluation Design

MSSP 6300 Quantitative Reasoning/Social Statistics

MSSP 6310 Law and Social Policy

MSSP 6320 Capstone Seminar I: Policy Communications

MSSP 6330 Capstone Seminar II: Policy Internship

MSSP 6340 MSSP/DA Capstone I: Telling Stories with Data

MSSP 6350 Capstone II: Policy Internship in Data Analytics

MSSP 6670 Critical Global Politics, Policy & Identity

MSSP 6680 Economics for Social Policy

MSSP 7010 Race, Technology, & the Body

MSSP 7020 Aestheticizing Assemblages: Power, Policy, Bureaucracy, and Difference

MSSP 7030 Visual Techniques for the Contestation of an Unjust World

MSSP 7040 Critical Studies in Health Inequity and Policymaking

MSSP 7050 Ethics, AI, & the Construction of Worlds

MSSP 7060 Behavioral Economics and Social Policy Design

MSSP 7070 AI & Revolution: Maroon Algorithms

MSSP 7080 Data, Decision, Death: Security, Raciality, and Policy during the COVID-19 Global Pandemic (thus far

MSSP 7100 Democratizing Data? Critical Data Studies in Algorithmic Governance

MSSP 7550 International Social Policy & Practice: Perspectives from the Global South

MSSP 7410 Gender & Social Policy

MSSP 7680 Social Policy Through Literature

MSSP 7960 Family Economic Mobility: Problems and Policies

MSSP 7970 Social Policy in Revolutionary Cuba (1959-2017)

MSSP 7980 Social Policy Topics

MSSP 7990 Independent Study

MSSP 8060 Systematic Reviews: Meta-Analysis and Meta-Synthesis

MSSP 8970 Applied Linear Modeling

MSSP 9990 Independent Study

实习项目：

MSSP+DA为学生提供具有竞争力和前沿的机会，在数据分析方面完成政策实习，强调政策分析和数据分析的能力发展。这些并行的能力使毕业生能够在快速增长和发展的社会政策数据分析领域工作。实习学分被纳入MSSP+DA顶点研讨会，学生通常在他们的最后一个春季学期完成实习。数据分析政策实习必须包含至少150小时的承诺。

在读学生评价：

“The MSSP+DA program allowed me to study, research, and find a way to combine my passions for data, visualization, and social policy. It was the people: my cohort, professors, and the administration who enabled me to thrive and pursue my passions while developing advanced quantitative and critical methods.”

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