Master in Big Data Science
Warsaw, 波兰
硕士
期间
2 年
语言
英语
步伐
全职
报名截止日期
31 Aug 2026*
最早开始日期
Mar 2026
学费
EUR 38,800 **
学习形式
远程教育, 在校园
* 由于签证问题,我们建议非欧盟候选人尽快申请
** 1st year tuition
The Master in Big Data Science is a two-year program conducted in English. The studies simultaneously prepare students to work in big data in the finance field. Aside from extensive finance knowledge, practical technical skills will be taught, such as identifying, collecting, analysing, interpreting, and transforming data, in order to face big data challenges in financial world. Furthermore, new trends in both areas will be presented, from venture capital to cloud computing.
Education by using games
Students have the possibility to use the interactive tools of MobLab, which supports gaining and perfecting business skills, among others, strategic thinking and decision making.
Program highlights
1 - THE PROGRAM IS HIGHLY PRACTICAL RIGHT FROM THE BEGINNING!
As part of the program, students will be able to work on professional business projects starting from the first semester.
Each student will have the opportunity to be matched with one of the following companies: Goldman Sachs, Microsoft, MicroStrategy, Accenture Operations, Bank Pekao S.A., Oracle, or Discovery.
2 - BECOME A DATA SCIENTIST WITH MICROSOFT!
Thanks to the partnership with Microsoft on the Big Data Science program, our students will have the opportunity to participate in a special Microsoft workshop, which will make it possible to pass the Microsoft certificate exam. Microsoft will also provide scholarships for the best students, which will waive the examination fee!
3 - GET AN ANALYST CERTIFICATE WITH MICROSTRATEGY
Thanks to our partnership with MicroStrategy, students will have the opportunity to get an analyst certificate. During the exam, students will create reports to demonstrate their fundamental knowledge on MicroStrategy's platform.
4 - WIDE CAREER OPPORTUNITIES
The attained expertise will allow graduates to handle business processes from data capture over to processing and visualisation, enabling them to participate in the decision-making process whether from a strategic or financing standing point by applying their problem-solving abilities and outside the box thinking. As a result, they will have the widest career opportunities in all areas
5 - YOU CAN GAIN AN ADDITIONAL MAJOR IN HEALTH ECONOMICS AND BIG DATA ANALYTICS
Health Economics is a new but dynamically developing science. It is the discipline of economics applied to the topic of health care. Health Economics provides a set of methods and analytical approaches to study the effectiveness, efficiency and value of health technologies with the ultimate objective of optimal allocation of healthcare resources.
6 - STUDENTS HAVE ACCESS TO MULTIPLE STUDY RESOURCES ALLOWING THEM TO COLLECT ALL THE NECESSARY INFORMATION FOR SOLVING PRACTICAL BUSINESS PROBLEMS AS WELL AS TO DWELL INTO ACADEMIC SCIENCE.
The University provides access to the wide range of databases, including Reuters, BankScope, EMIS, Infinancials, etc. (a complete list can be found here), which represent an essential toolkit for business analysis. Academic databases such as ScienceDirect, ProQuest, JSTOR etc. allow to track the most recent research findings in the domains of economics and finance.
Partners of the program:
As part of the program, students will be able to work on professional business projects starting from the first semester.
Each student will have the opportunity to be matched with one of the following companies: Goldman Sachs, Microsoft, MicroStrategy, Accenture Operations, Bank Pekao S.A., Oracle, or Discovery.

We have joined Amazon's AWS Academy!
The AWS (Amazon Web Services) Academy will enhance the Master in Big Data Science program even further by providing a free, ready-to-teach cloud computing curriculum that prepares students to pursue the most important certifications related to the industry, and employment on in-demand and coveted positions. The curriculum will help Kozminski University to stay at the forefront of AWS Cloud innovation so that we can provide students with the skills they need to get hired in one of the fastest-growing industries in history. Experts from Amazon will also be involved in providing students of the program with innovative courses as part of their development within the curriculum of the program itself.
程序结构
关键主题(学习内容和方式)
您还可以选择“卫生经济学”和“大数据分析”专业
普通课程
- 高级企业融资
- 在R中建立研究模型
- 描述统计和统计推断的要素
- 定量分析中的VBA简介
- 使用R的统计假设和性质
- 财务数据关系分析
- 分析中的线性回归
- 数据库的建设与探索
- 数据清理和汇总方法
- Oracle用于数据库创建
- 具有谈判元素的项目管理技能的发展
- 金融企业报告
专业课程
- 金融市场分析
- 金融市场高级分析
- 贝叶斯财务分析
- 金融数学
- 宏观经济学的金融经济学
- 对路透社,彭博社和其他数据库的介绍
- R,SAS,Matlab和Mathematica简介
- Hadoop简介
- 云中的数据处理
- 数据安全
- 财务数据挖掘
- 多维数据分析方法
- 使用R进行数据分析和模拟
- 使用PowerPivot,SharePoint,Tableau和MicroStrategy使大数据分析具有交互性
- 使用MO和Tableau进行数据可视化和报告的方法
选修课程
- 面板数据分析
- 时间序列数据分析
- 模拟和预测
- 财务数据优化
- 金融市场文本挖掘基础
- 网络挖掘
- 社交媒体
- 风险投资资金
- 黑客文化
- 财务分析与报告
- 财务预算
- 高级企业融资
- 行动调查
- 市场调查
- 经济研究
- 使用Python
- 使用SQL
- 使用SAS
你从学习中学到了什么?
- 这个创新的国际硕士课程在一个以技术专长闻名的欧洲国家,与各行各业的跨国公司合作,为您提供商业分析的实践经验。
- 这个全日制国际硕士课程使你能够在应用数据分析领域开创自己的职业生涯,这是全球顶级公司需求旺盛的领域。
- 通过出色的分析能力增强您的个人资料,以促进决策过程。
- 通过一系列选修课程在你感兴趣的领域扩展你的知识和技能。
- 提高您对专业术语的掌握程度,不仅在金融领域,在数字化时代也是如此。
- 为进一步的个人和职业发展做好准备。
学习后的职业机会
- 大数据分析经理
- 数据解决方案架构师
- 商业智能顾问
- 金融市场分析师
- 分析顾问
- 业务分析师
- 商业顾问
- 公司任何部门的专家,必须具备财务和大数据知识
- 国际公司或金融机构中财务部门的雇员
- 数据科学家
- 研究员


