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UT Austin - Master of Science in Business Analytics

Current technologies are generating a massive amount of data (Big Data) from both, business transactions and user generated data (i.e., blogs, user forums, and social media), leading to an increase in demand for data analytics professionals. Graduates from the Master of Science in Business Analytics will be prepared to leverage statistical analysis, data mining, natural language processing, optimization, and machine learning to address business management issues in finance, marketing and supply chain management. Our graduates can extract business insights from structured and unstructured data and turn them into practical recommendations to improve business results.



Career Relevance by Data Role

The techniques and tools covered in UT Austin - Master of Science in Business Analytics are most similar to the requirements found in Data Scientist job advertisements.


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Source: 2022 QS Business Masters Rankings

Tools
Apache Spark Hadoop Pandas scikit-learn R Python

Techniques
Algorithms Classification Data Science Data Analysis Data Analytics Data Sets Data Visualization Databases Data Modeling Decision Trees Regression Machine Learning Marketing Programming Natural Language Processing Optimization Predictive Analytics Quantitative Analysis Statistical Analysis Cluster Analysis Big Data Data Mining Variables Segmentation Analysis MapReduce

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