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Master of Science in Data Analytics (MSDA)
数据分析理学硕士
Our fully online Master of Science in Data Analytics (MSDA) is an intensive program that will prepare you for the fastest growing occupations in data science. This program features coursework based on the latest trends and best practices in the field. With a heavy focus on real-world learning experiences, the program will build competencies in you for extracting deep insights from big data that are readily applicable in a range of contexts and industries.
我们完全在线的数据分析理学硕士(MSDA)是一个密集的项目,将为您准备在数据科学中增长最快的职业。本项目的特色课程是基于该领域的最新趋势和最佳实践。该项目着重于现实世界的学习经验,将培养您从大数据中提取深刻见解的能力,这些见解随时适用于各种背景和行业。
Who Should Attend 谁应该参加
Our program will prepare you to become a data specialist and advance your career with a master’s in applied data analytics.
我们的课程将让你成为一名数据专家,并通过应用数据分析的硕士学位提升你的职业生涯。
Career Outlook 职业前景
The MSDA program leads to or enhances careers such as:
● Data scientist/data analyst
● Data mining analyst
● Data engineer
● Business intelligence analyst
● Business/management analyst
● System analyst
● IT project manager
● Cyber/information security engineer/analyst
● Software developer/engineer
● Market research analyst
● Marketing/sales manager
Data analytics is embedded in all industries, business functions and employee workflows. MSDA graduates find career opportunities in a wide array of industries and organizations. MSDA graduates also strengthen their data-driven collaboration, communication, presentation, project management and business negotiation skills.
数据硕士理学项目可以引领或助力的职业有:
● 数据科学家/数据分析师
● 数据挖掘分析师
● 数据工程师
● 商业智能分析师
● 业务/管理分析师
● 系统分析师
● IT 项目经理
● 网络/信息安全工程师/分析师
● 软件开发人员/工程师
● 市场研究分析师
● 市场/销售经理
数据分析嵌入到所有行业、业务职能和员工工作流程中。数据分析理学硕士毕业生能在广泛的行业和组织中找到职业机会。毕业生还加强了他们的数据驱动协作、沟通、演示、项目管理和商业谈判技能。
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课程设置
The Master of Science in Data Analytics program consists of two phases. Phase One courses are designed to address deficiencies in undergraduate course work considered to be prerequisite for Phase Two (30 credits) graduate course work. Students with significant undergraduate course work in business may be waived from some, or all, of the Phase One requirements.
Phase Two consists of 10 courses. Five courses are required from big data analytics (15 credits), three courses are required from business and visual communication (nine credits), one course is required from statistics (three credits) and one course is required from programming (three credits).
数据分析理学硕士课程包括两个阶段。第一阶段课程旨在解决本科课程作业中的不足,这些不足是第二阶段(30学分)研究生课程作业的先决条件。在商业领域拥有大量本科课程的学生可以免除部分或全部第一阶段的要求。
第二阶段包括10门课程。大数据分析有五门课程(15学分),商业和视觉传播需要三门课程(9学分),统计学需要一门课程(3学分),编程需要一门课程(3学分)。
第二阶段
Phase Two1.商业与
视觉传播
(9学分)MSDA 628X Supply Chain Business Analytics 供应链商业分析 MSDA 673 Business Data Visualization 商业数据可视化 MSDA 690 Data Analytics Project Management 数据分析项目管理 2.统计学
(3学分)MSDA 645X Applied Statistics for Business Analytics Using SAS 使用SAS的商业分析的
应用统计3.编程(3学分) MSDA 649 Data Analytics Programming 数据分析编程 4.大数据分析
(15学分)MSDA 652X Business Applications of Database Management Systems 数据库管理系统的
商业应用MSDA 661X Business Intelligence
Applications and Tools商业智能应用和工具 MSDA 665X Big Data Analytics for Business 商业大数据分析 MSDA 681 Machine Learning and Advanced Predictive Analytics 机器学习和
高级预测分析MSDA 683X Business Applications of Text Mining 文本挖掘的商业应用 第二阶段课程学习的目标:
1.数据驱动的决策——为学生提供给予数据洞察力做出商业决策的知识;
2.数据分析生命周期——为学生提供完成数据分析项目的技能;
3.交流——为学生提供交流数据分析结果的能力。 -
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Chang Liu
运营管理和信息系统系主任,院长杰出教授¥ 0.00立即购买
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Kathleen McFadden
德克萨斯大学阿灵顿分校,管理科学运营管理博士¥ 0.00立即购买
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Balaji Rajagopalan
美国北伊利诺伊大学商学院院长、教授¥ 0.00立即购买
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Charles Petersen
印第安纳大学运营管理博士¥ 0.00立即购买
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Andrew Setterstrom
信息系统副教授¥ 0.00立即购买
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Xinyan Cao
助理教授¥ 0.00立即购买
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Jinhak Kim
普渡大学管理学博士¥ 0.00立即购买
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Biagio Palese
路易斯安那州立大学,信息系统工商管理博士¥ 0.00立即购买
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Charles Downing
校长教学教授,院长杰出教授¥ 0.00立即购买
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Yipeng Liu
佛罗里达大学信息系统博士¥ 0.00立即购买
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Schedule of Master of Science in Data Analytics
数据分析硕士的日程表
Program cost: 165, 000RMB
费用:16.5万元
Phase one: 3 courses + Phase two: 10 courses
第一阶段:3门课程+第二阶段:10门课程
Credit: 30-36
学分:30-36
The only admission requirement: The equivalent of an undergraduate degree, no GMAT or GRE is required
唯一入学要求:只需要同等本科学位学历,不需要GMAT或GRE
Time: 2 years
学制:2年
NIU Preview Day
Register for the Feb. 21 Preview Day event, one of many fun ways to explore campus.
NIU Preview Day
Register for the Feb. 21 Preview Day event, one of many fun ways to explore campus.
NIU Preview Day
Register for the Feb. 21 Preview Day event, one of many fun ways to explore campus.
NIU CHINA Representative Office 美国北伊利诺伊大学中国代表处
NANJING Representative Office 南京办公室
Room 1402, Building E7-2, Suning Huigu, No. 268, Jiqingmen Street, Gulou District, Nanjing
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SUZHOU Representative Office 苏州办公室
Room 605, G2 Building, GENWAY I-PARK No. 88 Dongchang RD., SIP, Suzhou
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电话:159-5123-5799 陈老师,150-6196-5158 尹老师
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电话:159-2156-8558 马老师
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