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 businessfinancegovernment, and information technology with the skills to collectreview, and interpret data in ways that effectively drive an organization’s decisions and growth

Grounded in the liberal arts with coursework in big datadata 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. 

Course Information

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 market.