Carlow is accepting applications to begin in the fall of 2019.
Carlow University’s industry partners report a very high demand for entry level positions in data analytics. Data analysts are needed in the areas of business, finance, government, and information technology with the skills to collect, review, and interpret data in ways that effectively drive an organization’s decisions and growth.
Grounded in the liberal arts with coursework in big data, data mining, and data visualization, the BS in Data Analytics will equip students with the business acumen, critical thinking, and analytical skills necessary to hit the ground running as a data analyst upon graduation.
Students learn to help others understand the data through solid communication and data storytelling skills. Core studies will give students a grounding in applied calculus, linear algebra, introductory computer programming courses, statistics, and other areas essential to the work of data analysts. Students will learn data skills in working with SQL, Excel, database design, Power BI, Python, R, and other data tools.
Graduates will gain the skills to succeed in a variety of environments, from big business to non-profit organizations to the exciting world of startups.
Benefits of the BS in Data Analytics:
- Important skills for the workplace in critical thinking, team work, creativity, problem solving, and independent learning
- Work with real world data curated from Google, Microsoft, and other big data sources
- Professional exposure to the field through required, credit-bearing internships
- Curriculum developed through regional partnerships and fully aligned to in-demand skills
The Bureau of Labor Statistics predicts growth of 27% in data analytics employment by 2026. Plus, the demand for managers and decision makers in big data is very strong, estimated at 1.5 million in today's market.
Interested in Healthcare? You may also want to consider our Healthcare Data Analytics major.
Introduction to Data Analytics
What questions can data help us answer? Every industry is
guided by data, and knowing how to work with and understand data is
an essential skill in today's job market. In this course, we
will look at a variety of open-source datasets to analyze a variety
of open questions. For example, we will analyze advanced
statistics from hockey and football to perform sports data
analytics to identify features from winning versus losing
teams. There is available data from unsolved murders around
the country over the last 50 years. Can we use data to
identify serial killers around the country? All political
decisions are guided by data; we'll analyze data to determine how
our political leaders make decisions. Public health
guidelines are also steered by data. We will analyze data
from disease outbreaks to assess how public health officials make
important decisions. This course will cover the basics of
many marketable skills in data analysis, such as sampling,
clearing, predicting, and exploring data.
Data Modeling and Prediction
The ability to predict future behavior based on past data is an
essential skill for many current career paths in a variety of
fields; every business uses data to guide future decisions!
In this course, we will cover the processes behind using data to
make decisions for future behavior in a variety of fields,
including biology, chemistry, economic, political science, public
health, and sports. Types of models covered will include
financial models, statistical models, classification, and
mathematical models. These skills can be applied to data from
nearly any source and are highly sought after in the Pittsburgh job