"Leaders in business, education and government must take action to foster a new generation of talent with the technical expertise and unique ideas to make the most of this tsunami of Big Data."

-Richard Rodts, Manager of Global Academic Programs, IBM

Bachelor of Science Degree in Data Science

Case Western Reserve University and the Business-Higher Education Forum partnered to assess the academic options available in data science and analytics, and learned that there is a distinct need for data science education at the undergraduate level to help train a workforce of data science experts able to apply data manipulation and analysis across a spectrum of fields.  

Responding to this need, Case Western Reserve is developing a new undergraduate Bachelor of Science degree in Data Science* that focuses on real-world applications.

Graduates of the data science program will be able to:

  • understand processes for efficient collection and management of large data sets
  • develop successful strategies for formulating and testing hypotheses about data
  • extract valid and meaningful conclusions from large data sets, which are actionable "data products"
  • demonstrate deep competence with fundamental algorithmic approaches to analyzing large data sets
  • gain experience with open-source data management and analysis tools

Granted through the Case School of Engineering's Department of Electrical Engineering and Computer Science, the Data Science major will consist of a core curriculum that includes:

  • mathematical modeling of data sources, including recitations that provide focus area applications
  • informatics, including the acquisition, aggregation, assembly and security of data
  • data analytics: examining raw data using analytics that focus on inference through the transformation of data to actionable information that improves decision-making
  • visual analytics and user experiences
  • capstone coursework that involves project-based applications of learning

The curriculum will further entail open source data management and analysis tools; a breadth of instruction in allied technical areas such as biology, physics or engineering; and a focus on a specific domain area: health, energy, and manufacturing and production. The new program will also feature a strong experiential learning component via partnerships with industry that provide co-op assignments and internships to students.

 

*pending final approval by the Ohio Board of Regents