Best Graduate Programs in Data Science in Pennsylvania

Penn’s Master of Science in Engineering (MSE) in Data Science prepares students for a wide range of data-centric careers, whether in technology and engineering, consulting, science, policy-making, or understanding patterns in literature, art or communications. The Data Science Program can typically be completed in one-and-a-half to two years. It blends leading-edge courses in core topics such as machine learning, big data analytics, and statistics, with a variety of electives and an opportunity to apply these techniques in a domain specialization – a depth area – of choice.

The extraordinary spread of computers and online data is changing forever the way decisions are made in many fields, from medicine to marketing to scientific research. Dramatic growth in the scale and complexity of data that can be collected and analyzed is affecting all aspects of work and society including health care, business practices, public safety, scientific discoveries and public policy.One reflection of this breadth is the number of different master’s-level data science programs, which vary as to the incoming students’ background, the focus of study, the intended outcomes, and detailed logistics.

The MS in Biostatistics with area of concentration in Health Data Science is designed for students with a background in calculus, some experience with a programming language, and a strong interest in public health and data science. The HDS concentration emphasizes biostatistical theory and statistical computational methods for analyzing, processing and interpreting large-scale data sets so that students are prepared to clean, store, manage, manipulate, visualize and process high dimensional data as well as be effective statistical collaborators in interdisciplinary studies and lead the design and execution of studies. Apply data curation and data management techniques such as data munging, data scraping, sampling, and cleaning in order to construct informative, usable, and manageable data sets for meaningful analyses,.

A doctorate is the highest degree awarded in the College of Computing Informatics The PhD in Information Science provides students with disciplinary breadth through foundations in information science, data science and human-centered computing, in the university Program .

As a student, applicant will learn to conceptualize health problems and use state-of-the-art tools and techniques to analyze, design and manage health and health-related data to produce value-adding analytic insights. Graduates of Data Science program will have a strong biostatistical and programming foundation, a mastery of targeted data analysis, and be prepared to apply their skills as follows.

The Master of Science in Data Science program prepares students to collect, analyze, visualize, and communicate actionable insights for data-driven decisions in business, non-profit, and government organizations. Data analytics can be used to maintain competitiveness, adapt business strategies, increase sales, or enhance security.

A graduate level introduction to data science through a focus on the language R. Support tools and libraries such as Rstudio and the tidyverse will be emphasized. Students will complete the data science boot camp (a weekend in person intensive or online equivalent) at the start of this online course. A graduate-level introduction to Computer Science Fundamentals through a focus on the Python language.

Applicant need solid foundations in data collection and analysis, computer programming, and . The benefit of pursuing a graduate program in data science is that applicant get a multi-disciplinary education. Individual degrees in computer science, engineering, and statistics can certainly be helpful, but they could leave applicant with educational gaps.

The mission of the Data Science PHD program is to create scientifically minded and technically proficient professionals with a comprehensive background in the methodological diversity of the data sciences and the intellectual depth to offer influential perspectives to analytical teams across disciplines. The Data Sciences Program will produce Ph.D. graduates who will have applied diverse data science methodologies using a scientific process individually or in teams to provide impactful insights from large sets of data.