Ms data science in Harvard university

This program lies at the intersection of statistical methodology, computational science, and a wide range of application domains. The data science area of study offers strong preparation in statistical modelling, machine learning, optimization, management and analysis of massive data sets, and data acquisition. It also focuses on topics such as reproductible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.

A personal statement, A writing sample no longer than 20 pages, Three letters of recommendation, Transcripts, CV, GRE scores, TOEFL Ibt scores

Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, Senior Data Scientist.

15th Dec