Graduate Certificate in Data Science at University of Cincinnati

Programme overview

According to the McKinsey Global Institute, the US will need to increase the number of graduates with data science skills by 60% to meet demand that is estimated to be almost 500,000 jobs in 5 years. Data science includes IT expertise, but it also includes the ability to work with extremely large data sets and to communicate analytical findings to other professionals who can leverage those findings for strategic decision making.

Faculty: College of Engineering & Applied Science | Duration: 1 year | Study mode: full-time | Location: Cincinnati, OH, United States

What you will study

Completion of compulsory courses and approved elective course work is required for the certificate.

Official programme page

Application information

Entry requirements

Applicants must have a baccalaureate degree (BS or BA) and appropriate course work as described below. Applicants should have obtained a grade of at least 3.0/4.0 (B or better) for at least undergraduate level background courses in the following areas: database design and management: including experience with SQL queries and design and development of relational databases, statistics: including basic knowledge of probability distributions, hypothesis testing, and linear regression, and programming: including knowledge of data structures and experience developing medium-large software in C++ and/or java.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate applications: programmes set their own deadlines and decision schedules. Most programmes use the UC Graduate Admissions Application; Nursing uses NursingCAS, Occupational Therapy OTCAS, Physical Therapy PTCAS, Athletic Training ATCAS, Audiology and Speech-Language Pathology CSDCAS, and Public Health SOPHAS.

Apply through the official page: https://grad.uc.edu/admissions.html

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