马里兰大学学院公园分校（University of Marylan,College Park，缩写UMD或UMCP），或译马里兰大学学院市分校，是一所位于美国东部小城学院公园市的大型公立综合性全国大学，成立于1856年，提供本科、硕士、博士、文凭课程（Certificate）四种学位类型；该校与华盛顿距离约8里。马里兰大学系统是美国第12大大学系统，由13所马里兰高等教育机构组成的大学系统。
马里兰大学公园分校是马里兰大学系统十四所高等教育机构中历史最久、最大、最好的一所，同时也是整个大华盛顿地区最大的一所高校，该校被评为公立常春藤院校之一。
马里兰大学史密斯商学院
· “Universitas 21 联盟成员校”
· 距离美国首都华盛顿仅8英里
· 校区环境优美、学习生活设施完善
· 为学生提供在企业层面所需的实践技能
· 美国首都华盛顿特区城市圈中唯一大型综合公立高等院校
· 全球杰出雇主都在史密斯进行招聘，优质实习就业机会多
· 信息系统硕士排名 全美#9 (US News '21)
信息系统硕士(MSIS) 课程使你可以成为企业中技术团队和领导层之间的有效联络人 - 这是当今商业世界中的一项宝贵技能。到课程结束时，你将学会如何在工作场景中有效地运用你的技术和商业战略技能，从而帮助企业领导者来做出基于数据的有效决策。
课程设置
Core Courses
Data, Moels, an Decisions
Analytical moeling of business ecisions; uncertainty, risk an expecte utility; regression moeling to infer
relationships among variables.
Data Processing an Analysis in Python
An introuction to the Python programming language for the purpose of processing, analyzing, an visualizing
ata. In aition, stuents will be introuce to eveloping basic regression, optimization, an simulation
moels in Python, using highly popular packages. Course emphasis is on mastering basic Python functionality an
eveloping intermeiate to avance skills in working with ata, through instruction an active learning.
Database Management Systems
Introuction to the conceptual, logical an physical esign of relational atabase systems an their use in
business environments. Topics inclue information moeling an optimization via normalization; Structure Query
Language (SQL); Data Warehousing.
Managing Digital Business Markets
The objective is to unerstan the strategic an tactical issues involve in managing igital businesses an
markets. Also, some of the characteristics of igital businesses an markets that make them unique an
unerstan how companies can best manage them will be examine.
Business Process Analysis for Information Systems
Helps stuents gain a soli founation in the concepts, processes, tools, an techniques neee in analyzing
business processes an conucting information systems projects.
Digital Business Transformation
Introuces stuents to the strategic role of igital transformation within businesses, an provies an overview
for how major information technologies may be use to inform an transform the firm's strategic, operational,
an tactical ecisions. Topics iscusse in the course inclue the strategic use of igital technologies to
generate sustainable competitive value; the contributions of new forms of technology infrastructure; the
evaluation of new technology investments an the resulting ROI; acquiring, managing an governing technological
capabilities within the firm; unerstaning the role of enterprise systems an social technologies within the
firm; an the management of isruptive technologies within an outsie the firm.
Project Management in Dynamic Environments
Aresses project management skills that are require by successful managers in increasingly competitive an
faster-moving environments. Examines funamental concepts of successful project management, an the technical
an managerial issues, methos, an techniques.
Elective Courses
Certain courses may have limite availability.
Management of Information Systems
To work together effectively for an organization's success, both business managers an IS managers must
unerstan how to both manage an utilize information systems. This course explores management issues an
opportunities of the IS function within organizations. Topics inclue e-business, protection of intellectual
property an personal information, software evelopment, IS operations, systems availability an business
continuity, IS for multinational organizations, shaow IS organizations, business partnerships an alliances,
an mergers, acquisitions, an ivestitures.
Healthcare Information Systems
Health care is the last major inustry in the Unite States to successfully use automation to improve its
effectiveness. This course consiers the business implications of healthcare information systems. Topics inclue
e-health an operational information systems, electronic meical / health recors, EM/HR exchanges, electronic
prescribing systems, electronic imaging, testing, an iagnostic systems, systems for preventive care an
patient care in hospitals, care facilities, an homes, health care operations, an information privacy,
security, reliability.
Applie Finance Information Systems
The focus of the course is to provie relevant backgroun in financial inustry an leverage stuent’s IT
backgroun to position them for possible IT/IS opportunities in financial inustry. Topics covere will inclue
R an Python for finance, creit risk management, portfolio analysis, financial traing, an time series ata
analysis.
This course will help stuents get various job positions in the ever-expaning financial inustry. It provies a
brige between Financial omain an Information Systems. Some job positions that stuents may look for after
taking this course are Business Consultants, Financial Consultant, Financial Analysts, Creit Analyst, Creit
Risk Managers, Portfolio Manager, Wealth Management Analyst an lots of other jobs in the Financial Sector.
This course will focus on giving the theoretical founation of topic covere in the syllabus along with their
practical implementation. The course is split in 30:70 ratio of theory to practical. The course will be built
upon various practices followe by several Fortune-500 companies. This course will also be accompanie by a
major project where stuents will be practicing the concepts learne in the classes.
Decision Analytics
Analytical moeling for managerial ecisions using a spreasheet environment. Inclues linear an nonlinear
optimization moels, ecision making uner uncertainty an simulation moels.
Big Data an Artificial Intelligence for Business
Big ata represents unpreceente opportunities for companies to generate insights an create wealth. Huge
amount of ata is being generate. At the same time, much of the big ata is unstructure, in real time an only
loosely connecte. It efies the traitional ways of managing atabases. This creates challenges even to tech-
savvy companies on how to leverage the big ata to gain competitive avantages. Challenges an opportunities
coexist. To extract the great value from the ata, we shoul be equippe with avance techniques. Artificial
Intelligence (AI) is penetrating our aily routines eeply, an shows great promise in exciting areas such as
healthcare an autonomous riving cars.
This course uses a hans-on, learning-by-oing approach to unerstaning the concepts behin Big Data an AI,
the strategic rivers of these technologies an the value propositions that they provie to inustries. In
aition, the course will also serve as an introuction to some of the key technologies within this ecosystem,
such as Haoop, AWS, Pig, Hive, Amazon Web Services an Spark. Examples of AI using Deep Learning will be
conucte in class. The focus is on creating awareness of the technologies, allowing some level of familiarity
with them through hans-on exercises an projects, an enabling strategic thinking aroun the use of these
technologies in business.
Data Mining an Preictive Analysis
In business magazines, on TV, an in boar rooms, “big ata” an “ata analytics” are now hot topics. Vast
quantities of ata are being generate these ays, incluing new types of ata such as web traffic, social
network ata, an reviews an comments on websites. This ata is a valuable resource that, when use correctly,
can create a competitive ege for companies by improving the quality of ecision making. Recent avances in
computing harware an software have mae the application of avance analytical methos much easier.
This course takes avantage of these evelopments to introuce ata analytics to those intereste in eveloping
expertise in ata-riven ecision making. The course is intene to provie an introuction to the tools an
techniques of ata mining & machine learning that are central to business analytics, with particular emphasis on
classification an preiction. The focus will be on business applications an examples from Marketing, Finance,
Healthcare, an Operations will be use to illustrate the breath of applications.
Computer Simulation for Business Applications
This course covers the basic techniques for computer simulation moeling an analysis of iscrete-event systems.
Course emphasis is on conceptualizing abstract moels of real-worl systems (for example, inventory or queuing
systems), implementing simulations in special purpose software, planning simulation stuies, an analyzing
simulation output.
对应未来的职位有哪些？
• 大数据开发人员
• 商业智能分析师
• 数据分析师
• 数据科学家
• 产品经理
• 风险系统开发人员
信息系统硕士学位信息系统硕士学位可以为你带来什么？
90%MSIS学生毕业后六个月内获得企业OFFER
史密斯MSMA毕业生平均年薪起薪76,000美元
现在人才市场对于信息系统经理职位的需求量是过去10年的2倍
