商业分析学位

我们通过数据所包围。企业对业务数据。企业对消费者数据。消费者 - 谈对每个 - 其他 - 关于 - 企业数据。这是一个名副其实的数据 爆炸,这与我们的无所不在的设备嫁给社交媒体的必然结果。

它的一切都是值得的使用数据

谁使这个数据的所有有意义吗?更重要的是,谁知道如何破译以获得更大的商业成功?人与业务分析,高学位 有需求的专业,谁可以帮助企业了解和管理的信息这座金矿的获利潜力。

纽黑文的学士学位的大学在业务分析会为您提供的培训是必不可少的这一个人。通过该计划,您将获得在数据科学的组织和技术能力,学会解读数据资产数据资产分析业务应用程序和获取技能,指导组织决策。我们将训练你在一个大范围的数据分析方法,同时,也让您的专业化体育管理的市场营销分析供应链战略机遇,或操作/。

我们的业务分析主要是干认证由联邦政府(科学,技术,工程和数学)和包括浓度:

  • 全球供应链分析
  • 市场分析
  • 体育管理
将信息过载金

今天的商业分析专业必须具备的业务是如何工作的,这就是为什么该计划包括在金融课程,会计学,经济学,市场营销和管理,以及透彻的理解。

想起来了:这个学位开辟了机会让你在几乎任何组织,因为大多数化妆用数据来促进其业务目标。这是一个信息那是很容易分析。

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从谁是致力于为您的成功的教授学习。

我们的教师都是各自领域的领导者和创新者,既带来了深厚的专业经验 和学术严谨教室。

Selected Courses and Programs
  • Data Visualization & Communication

    This course focuses on the art of communicating ideas imbedded in data through visual means. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language.

  • Database Management

    This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles, entity-relationship diagrams, constructing queries in SQL, connecting, updating, and analyzing databases -- critical skills for data analysts. The course materials, assignments and project will all be prepared using the R and SQL programming language.

  • Machine Learning: Supervised Learning

    The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors and Neural Networks. It first builds a sound understanding of data preparation, exploration and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques.

  • Business Forecasting

    The focus of this course is on statistical and data analytical methods for the preparation of business forecasts. A variety of empirical techniques are covered: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. Emphasis is placed upon building forecasting models and evaluating their reliability. The focus is on time-series data. R is the preferred statistical package; Tableau and other packages will be introduced as time permits.

  • Full List of Courses for 商业分析

    The 赌博现金网 offers a wide variety of in-depth courses that create a transformational educational experience for our students. To view the complete list of courses you'll take while pursuing a M.S. in 商业分析, check out the Academic Catalog:

    Concentrations:

    General Concentration, B.S.

    全球供应链分析, B.S.

    市场分析 Concentration, B.S.

    体育管理, B.S.

    商业分析 Minor

Charger Advantage

Get an inside look at what differentiates the 赌博现金网 and how your experiences as a student will prepare you for success.

Nationally Recognized Center for 职业发展

All 赌博现金网 students have access to the many resources available through the University’s 职业发展 Center, which has been named one of the best in the nation by The Princeton Review.

From career assessments, networking, and job shadowing to on-campus interviews and salary negotiation, the 职业发展 Center provides the skills and connections to identify a meaningful career and an opportunity to pursue your passion.

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AACSB accreditation logo

Our 商学院 is Among the Top 5% Worldwide

AACSB accreditation means that our 商学院 has passed a rigorous set of standards. The faculty, students, programs and research have been closely examined and judged to be of exceptionally high standards.

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Upcoming 事件

Thursday, April 16, 2020

Saturday, April 18, 2020

Saturday, April 25, 2020

下一步
  • 入学要求

    无论你还在读高中或从另一所学院被转移,我们为本科生全职和兼职机会从美国内部和国外。在录取过程可以早在你的高中三年级今年年底开始。

    申请过程

  • 财政援助的机会

    我们提供了一个全面的金融援助计划,与学生助学金,奖学金,助学贷款,并兼职的形式接受援助。资金可从联邦和州政府,私人赞助,以及从高校资源。大学的全日制本科学生的85%以上接受某种形式的财政援助。

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