CAS in Data Science

As the world's data grow exponentially, organizations need to understand, manage and use big data sets. These data spawned the term “big data,” which now monopolizes forward-thinking business dialogue.

Organizations across all sectors, including government and not-for-profit, can improve efficiency by discovering patterns. Data science, the answer to solving the big data problem, can better inform predictive models in areas as diverse as clinical research, defense intelligence, customer behavior, medical diagnosis and risk management. Predictive analysis is not new. However, the ability to apply this practice to large data sets, whether unstructured or structured, is an evolutionary leap forward for the world.

Data scientists collect, organize, store, analyze and share big data. In other words, they know where data lives and can find it. They keep it in an accessible format ready for query. They look at data and see patterns and trends. Most importantly, they share what they find with partners, collaborators and, in many cases, the world.

The iSchool continues to lead the dialogue in defining data science within the academic community and within industry. In doing so, its graduates are placing their fingerprint on the first wave of standards as data science infiltrates public consciousness over the next five to ten years. Professionals with this CAS are particularly poised to lead this field. Graduates gain hard, technical skills but also possess the soft, theoretical skills that organizations desperately need.

Big Data Jobs

There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.
McKinsey Global Institute, Big data: The next frontier for innovation, competition, and productivity (2011)

Graduates of the CAS in Data Science have a competitive advantage over professionals who have specialties in single-discipline approaches such as computer science or business administration. The iSchool concept of connecting people and ideas through technology keeps graduates poised to not only work in data science but to have the perspective needed to help it grow from its infancy.

Big Opportunities

This was the first New York State-approved certificate of advanced study in Data Science. Ours is a graduate program that can be taken independently or as part of a master's degree, taken fully online, fully on campus or mixed, and can be completed part time or full time basis. Students gain the technical and conceptual savvy to be leaders in any industry in 15 credits—half of a master’s program—but more than a corporate certification can offer. This includes a specialization of data analytics, data storage & management, data visualization or general systems management. Core courses include database, digital curation and management and data science.

This program is evolving. Contact us to stay in the loop about the latest developments. There are big plans in the works for data science.

Curriculum

The curriculum may be found on the Syracuse University Course Catalog

View Curriculum >>

Apply

Some programs may have differing requirements. To view the specific requirement for this program view the CAS in Data Science Checklist. If you have reviewed the requirements and are ready to apply, click the “Apply Now” button below to complete an online application.

Apply Now >>

Contact

For inquiries by prospective students, please direct correspondence to:

iGrad@syr.edu

(315) 443-6226

For inquiries by academic institutions or employers, please contact:

Erin Bartolo
Data Science Program Manager
School of Information Studies Syracuse University
114D Hinds Hall Syracuse, New York 13244
315.443.3777
ebartolo@syr.edu

For media inquiries, please contact:

J.D. Ross
Communications Director
School of Information Studies Syracuse University
343-M Hinds Hall
Syracuse, New York 13244
315.443.3094
rossjd@syr.edu

For an information packet with complete admissions and curriculum information, please use our online information request form.

Open Online Course in Applied Data Science

Experience the iSchool’s distinct perspective, approaching data science with a view of the full data life cycle in this free, massive, open, online course.

Applied Data Science Open Online Course >>

Stanton offers open source eBook on iTunes

In The News

Learn more about the CAS in Data Science through the stories that have provided coverage since its launch in 2012:

Data Science News >>

Course Schedule Black Board Apply Give About Contact