Career Options in Business Analytics and Big Data!

In today’s globalized business world, business in every market can gain a competitive edge with their ability to extract and analyze relevant information from large volumes of complex data. There is a huge demand of skilled employees in the industry with strong analytical skills and command of current analytical techniques to process this huge data into meaningful business information and for better collaboration in interdisciplinary teams, cross-trained in their respective application domains.

The International Master’s Program in Data Analytics combines both, a deep and thorough introduction to cutting-edge research in Machine learning, Big Data and analytical technology and complementary training in selected application domains. Data Analytics equips the students with knowledge and skills required for modeling and analysis of complex systems in application domains from business disciplines such as marketing and logistics as well as from science disciplines such as Computer Science and Environmental Science based on modern state-of-the-art Machine Learning Methods. The program is designed and taught in collaboration with experienced faculty and experts in machine learning and selected application domains.

The Data Analytics program combines complex mathematical and statistical models and methods from machine learning with problems from an application domain using tools and techniques for processing Big Data. The programs are structured in a way that it builds on the core data modeling and data analytics knowledge with the application on the large volume of real-world data using modern big data technologies such as the Apache Hadoop, Apache Spark, NoSQL etc. All participants of the program will get hands-on experience of handling large-scale real-world data on a state-of-the-art computer cluster and Amazon Web Services (AWS) – Cloud Services.

Career Prospects:
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The Master’s program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics. This program will propel students towards a successful career path as Data Scientists, Data Engineers and Business Consultants in our highly competitive corporate world. Upon completion of the study program some of the related career paths for students are:

  • Research Scientist in Data Analytics
  • Data Scientist
  • Big Data Engineer
  • Machine Learning Scientist
  • Business Intelligence Analyst

Program Requirements:

The Master’s program in Data Analytics/Business Analytics is highly relevant for students aiming to pursue their career in research in an interdisciplinary field, data analytics, or a related industry. Students with Bachelor’s Degree in Computer Science, Information Technology, Mathematics and related fields are eligible to apply. Generally, students with strong analytical, mathematical and statistical base and good programming skills are more suited for this program.

– Team Leverage

In today’s globalized business world, business in every market can gain a competitive edge with their ability to extract and analyze relevant information from large volumes of complex data. There is a huge demand of skilled employees in the industry with strong analytical skills and command of current analytical techniques to process this huge data into meaningful business information and for better collaboration in interdisciplinary teams, cross-trained in their respective application domains.

The International Master’s Program in Data Analytics combines both, a deep and thorough introduction to cutting-edge research in Machine learning, Big Data and analytical technology and complementary training in selected application domains. Data Analytics equips the students with knowledge and skills required for modeling and analysis of complex systems in application domains from business disciplines such as marketing and logistics as well as from science disciplines such as Computer Science and Environmental Science based on modern state-of-the-art Machine Learning Methods. The program is designed and taught in collaboration with experienced faculty and experts in machine learning and selected application domains.

The Data Analytics program combines complex mathematical and statistical models and methods from machine learning with problems from an application domain using tools and techniques for processing Big Data. The programs are structured in a way that it builds on the core data modeling and data analytics knowledge with the application on the large volume of real-world data using modern big data technologies such as the Apache Hadoop, Apache Spark, NoSQL etc. All participants of the program will get hands-on experience of handling large-scale real-world data on a state-of-the-art computer cluster and Amazon Web Services (AWS) – Cloud Services.

Career Prospects:
null
The Master’s program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics. This program will propel students towards a successful career path as Data Scientists, Data Engineers and Business Consultants in our highly competitive corporate world. Upon completion of the study program some of the related career paths for students are:

  • Research Scientist in Data Analytics
  • Data Scientist
  • Big Data Engineer
  • Machine Learning Scientist
  • Business Intelligence Analyst

Program Requirements:

The Master’s program in Data Analytics/Business Analytics is highly relevant for students aiming to pursue their career in research in an interdisciplinary field, data analytics, or a related industry. Students with Bachelor’s Degree in Computer Science, Information Technology, Mathematics and related fields are eligible to apply. Generally, students with strong analytical, mathematical and statistical base and good programming skills are more suited for this program.

– Team Leverage

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