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Course work and projects

The core of the Business Analytics program offers a balanced but comprehensive approach to the area of ??Big Data Analytics with practical technical capabilities, coupled with soft operations and an informed view of the trajectory of data science in decision-making (in business and otherwise) . The students combine electives, ranges from Machine learn and cyberscurity up to sustainability in business and project management, with the core teaching plan finding their learning experience and best fits their goals according to the graduation targets.

The used data analyzes & text mining courses taught by Professor John Chandler are the "nuts and bolts" of the program. Extract, transform, load, manage, and analyze over 90 million data series with Google Big Query and Google Cloud, R & Python and SQL during the semester. In the text mining of course, the students use APIs (eg Twitters and Reddits) and web scratch techniques to acquire real-time data from sources they are interested. At the end of the course, students have learned the basics of programmatically using APIS and web scratching techniques to acquire their own data to clean their own data, manage and collect data on the cloud and local databases, and the Professional reporting about statistical analyzes. Students typically combine these courses with Prof. Chandler's Visualization & Story Counting with Data , which focuses on the presentation of the most important findings from analyzes, a crucial ability in a world stored with data.

Professor Jakki Mohrs Big Data & Innovation , students in the organizational challenges in the use of advanced analyzes to use innovation and create a value. The topics discussed include cultural challenges, the structural challenges that have unintentional consequences, data and algorithms in decisions, as well as new business models and disturbing innovations to fully use the power of analytics. In addition, students drive privacy and governance problems by taking into account contradictory views on the administration of personal data. Students develop their own "voice" and view of these different topics by writing blog posts. A primary Takeaway for students is the critical reflection that is necessary to use the innovative and creative processes to use data and technology, and perhaps most importantly, as he asks the "right" questions. Your wonderful blog posts can be found on the MSBA blog.

Business Intelligence , headed by Professor Jason Triche, also offers students a senior or executive view by first reviewing organizational decision-making processes and how they relate to the structuring of data, databases, data warehouses , Data Marts, etc. Next, the students integrate the different data channels into a dashboard to facilitate decision-making. Each student invokes an active role in training their cohort by providing the class A live demonstration and / or workshop on a recent technology, such as Hadoop, Salesforce, Apache, NetSuite - only some of the technologies discussed. As a final project, students deal with the real challenge to create forecast models from CovID-19 for different countries.

Rounding the Business Analytics Core Curriculum is a deep dive in real marketing research, surveying and analysis. In Professor Simona Stan's Advanced Marketing Research forms the students teams to assist local and national organizations in the derivation of important insights into their target markets, expose weaknesses and invisible strengths and discover potential opportunities.Groups convey directly with customers to create a survey, partner with organizations for sales, and then create results, analyze ( spel , Excel , R ) and existing findings and recommendations.

The Capstone project , led by Jason Wiener, requires the students to have associated the totality of their skills and their knowledge in conjunction with the elections, internships, professional professionals or otherwise, Single formative project. This is an opportunity for a student to present your overall learning by working with an external business or organization or simply pursuing a topic for the student. Successful Capstone projects show the following:

  • Knowledge & application a wide range of analytical techniques, technologies and programming tools for both structured and unstructured data as well as a sharp understanding of the corresponding analytical techniques for solving business or organizational issues and problems.
  • Tell the Effective History - Students bring the data using a suite of technologies and tools to create an impactoring to support important insights from analyzes. An important determinant of success Capstone is the ability to translate technical minuties into implementable Takeaways for non-technical managers and executives.
  • Critical and innovative thinking - as shown by the student's approach and techniques, as well as the questions asked. A definition metric is the ability that students consider new and different solutions and ask questions that lead to a fundamentally different way of approaching old problems.

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