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Data Science Certificate

Data Science Certificate offered by Electrical Engineering and Computer Science at University of Cincinnati

Data Science Certificate

Academic Director:

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. 

The graduate certificate in Data Science prepares students to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights. Students acquire hands-on experience with relevant software tools, languages, data models, and environments for data processing and visualization. Working in teams, students communicate results of analysis effectively (visually and verbally) to a broad audience.

This certificate is a collaborative program between Computer Science and Business Analytics. Graduate credits earned apply to MS, MEng, and MBA programs. Companies seeking data scientists include dunhumby, Procter & Gamble, Google, Twitter LinkedIn, Facebook, Amazon, Teradata, Microsoft, AT&T, Verizon, and many, many others.

Learning Outcomes for Data Science Certificate students include: 

  1. Knowledge of how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights. 
  2. Acquisition of hands-on experience with relevant software tools, languages, data models, and environments for data processing and visualization. 
  3. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience.   

Curriculum (20 credit hours) 

Core Courses:

  • EECE 8075 (3cr) Data Warehousing and Mining
  • CS 6052 (3cr) Intelligent Data Analysis
  • CS 6065 (3cr) Cloud Computing
  • BANA 6037 (3cr) Data Visualization
  • BANA 7038 (3cr) Data Analysis Methods
  • BANA 6043 (3cr) Statistical Computing

Plus 5 credits of approved electives in Information Systems, Business Analytics, Computer Science, Electrical & Computer Engineering, Statistics, Health Informatics, or Geographic Information Systems

Admission Requirements

There are four components to admission to the Data Science Certificate program:

  1.  Applicants must have a baccalaureate degree (BS or BA).
  2. Applicants must submit a statement of purpose consisting of two paragraphs and not exceeding 300 words in length where one paragraph addresses the applicant’s qualifications for entering the program and the other addresses how the applicant’s professional goals are supported by the certificate.
  3. Applicants must have written permission from their advisor, department head, and college dean to pursue the graduate certificate if they are enrolled in a graduate degree program.
  4. Applicants must have appropriate course work as described below.

Applicants to the program must provide transcripts and official university course descriptions to show that they 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:

  1. database design and management: including experience with SQL queries and design and development of relational databases,
  2. statistics: including basic knowledge of probability distributions, hypothesis testing, and linear regression, and
  3. programming: including knowledge of data structures and experience developing medium-large software in C++ and/or java.
 

To learn more about the Data Sciences Certificate Please Contact:

Raj Bhatnagar by email at  or phone at 513.556.4932.