西北大学的分析学硕士 (MSiA) 是开设在工程学院下为期15个月的硕士课程，该课程教授学生在当今竞争激烈、数据驱动的世界中推动商业成功的技能，旨在培养全面的数据科学家，他们拥有严格的技术培训和商业敏锐度来领导数据科学团队 .

我们的课程教学生识别模式和趋势，从大量结构化和非结构化数据中解释和获得洞察力，并以适用于各个行业的实用、有用的术语交流他们的发现。 凭借严谨的课程背景和行业经验，我们的毕业生毕业后能够充分利用数据并将其全部价值传达给他们所服务的组织。

Fall Quarter (First)

Everything Starts with Data (MSiA 400)

Introduction to Databases & Information Retrieval (MSiA 413)

Predictive Analytics I (MSiA 401)

Introduction to Java & Python Programming (MSiA 422)

Winter Quarter

Generating Business Value with Analytics (MSiA 410)

Data Visualization (MSiA 411)

Data Mining (MSiA 421)

Predictive Analytics II (MSiA 420)

Spring Quarter

Analytics Value Chain (MSiA 423)

Analytics for Big Data (MSiA 431)

Introduction to Data Management for Business Intelligence (MSiA 430)

Deep Learning (MSiA 432)

Summer Quarter

Internship

Fall Quarter (Second)

Capstone Design Project (MSiA 499)

Leadership Insights and Skills for Data Scientists (MSiA 412)

Text Analytics (MSiA 414)

Elective 

Choose from (examples): Reinforcement Learning for Artificial Intelligence, Healthcare Analytics, Predictive Models for Credit Risk Management, Optimization & Heuristics, or Social Networks Analysis.

Three letters of recommendation

Personal statement (see word limit in application)

Scholarship Statement (optional)

Unofficial Transcripts from all undergraduate and graduate education attempted; minimum of 3.0 cumulative grade point average on 4.0 scale for undergraduate degree

Unofficial GRE or GMAT score report or Exam Waiver Form provided within the application

Unofficial TOEFL or IELTS score report for International candidates who will/do not hold a degree from an institution where English is the primary language of instruction

Resume or CV (no page limit)

Candidate video (optional)

Supplementary materials (optional), such as certificates or course descriptions

Deadline:

Scholarship priority deadline: December 1

Final deadline: January 15

根据学校的统计数据，MSiA毕业后100%的学生都找到了工作。学生们的毕业去处不乏Alibaba, Chicago Trading Co., Google, Nasa Jet Propulsion Lab, Microsoft, US Bank等著名企业。