Learn to Extract Insights from Data
Data Science is an emerging field that combines methods from machine learning, artificial intelligence, and statistics with entirely new technologies for handling vast amounts of complex and quickly-changing data. The job of a data scientist is to apply these methods to gather information and achieve goals that are otherwise impossible for human experts due the large quantities and complexity of the data.
In the University of New Haven’s M.S. in data science program, you will develop proficiencies in the key skills expected of leading data scientists, including deep learning and statistical analysis, and the data skills needed to work with unstructured data and Natural Language Processing (NLP).
Possible roles and applications include:
- Energy: Creating a system for the best distribution of electricity on a city’s power grid, to maximizing utilization of wind and solar resources through quickly-changing weather conditions.
- Commerce: Detecting and adapting to patterns of fraudulent transactions in the 500 billion online transactions performed each day.
- Healthcare:Developing systems for monitoring data collection captured by wearable devices to identify potential warning signs at an early stage.
- Law Enforcement:Identifying potential warnings of upcoming terrorist activity by scanning the thousands of hours of video uploaded to YouTube each day.
There’s a reason why "data scientist" has been named the country’s top job over and over again. The demand for skilled data scientists is high, salaries are well above average, and job satisfaction tops the charts. There has never been a better time to advance your technical skills and capabilities, strengthen your leadership and communication skills, and emerge as a high-performing data scientist.
The chart below shows the top five jobs in America, according to Glassdoor, and other jobs in the top 50 related to data science, analytics, and big data
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