Data Science and Data Analytics Certificates

DATA ANALYTICS GRADUATE CERTIFICATE

Data Analytics is growing rapidly in organizations across the globe.  From large to small, public to private, and profit to nonprofit, organizations are using analytics to improve decision making.  Executives realize that leveraging new technologies and better utilizing available data can lead to more effective strategies and, ultimately, to better ways to service their customers.

However, many organizations lack the knowledge to effectively utilize data analytics. As a result, a strong demand for professionals with analytics skills has developed and will continue.  The Data Analytics certificate prepares individuals to develop logical data models, construct data warehouses, build visually effective data displays and use sophisticated analytical techniques to glean valuable insights.

 

Curriculum

The certificate includes 4 core courses (8 credits) and two elective courses (4 credits).

  Course No. Course Title Credit Hours

Core

8 credits

BANA 6043 Statistical Computing 2
BANA 7038 Data Analysis Methods 2
IS 6030 Data Management 2
IS 7034 Data Warehousing and Business Intelligence 2

Electives

4 credits

BANA 6037 Data Visualization 2
BANA 7046 Data Mining I 2
BANA 7047 Data Mining II 2
IS 7032 Database Design 2
IS 7036 Data Mining for Business Intelligence 2
IS 7038 Managing Business Intelligence Projects 2

The electives listed above represent the typical set from which most students will choose. Students may be able to choose other electives to match specific career goals, with the approval of the Program Director.

Click here to see course descriptions for Information Systems and Business Analytics Courses.

To learn more about this certificate, please contact:

 

UC LCB


E-mail: graduate@uc.edu
Phone: 513-556-7020

Ed Winkofsky

Ed Winkofsky, PhD
Adjunct Professor and MS-BANA Director

DATA SCIENCE GRADUATE CERTIFICATE

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 Data Science graduate certificate (15 credit hours) is a collaborative program among business analytics, computer science and information systems and prepares students to apply both data management and analytic techniques (including statistical and data mining approaches) to extract meaningful insights.  Students acquire hands-on experience with relevant software tools, languages, data models, and environments for data integration, analysis and visualization.  Working in teams, students communicate results of analysis effectively (visually and verbally) to a broad audience.

Graduate credits earned may apply to other MS and MBA programs subject to approval of the program directors.

Learning Outcomes for Data Science Certificate students include:

  1. Knowledge of how to integrate data from multiple sources and manage integrated data under a proper data management architecture.
  2. Knowledge of how to apply analytics techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights.
  3. Acquisition of hands-on experience with relevant software tools, languages, data models and environments for data integration, analysis and visualization.
  4. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience.

Curriculum (15 Credit Hours)

MS-BANA          MSIS/Certificate Only        
BANA6037: Data Visualization (2cr.)  BANA6037: Data Visualization (2cr.)
BANA6043: Statistical Computing (2 cr.) BANA6043: Statistical Computing (2 cr.)
CS6052: Intelligent Data Analysis (3 cr.) CS6052: Intelligent Data Analysis (3 cr.)
BANA7042: Statistical Modeling (2 cr.) BANA7038: Data Analytics Methods (2 cr.)
BANA7046: Data Mining I (2 cr.) IS7034: Data Warehousing for
             Business Intelligence (2 cr.)
IS7034: Data Warehousing for
             Business Intelligence (2 cr.)
IS7036: Data Mining for
             Business Intelligence (2 cr.)
IS8034: Big Data Integration (2 cr.) IS8034: Big Data Integration (2 cr.)

NOTE:  For MS-BANA students, BANA7041 is a pre-requisite for BANA7042

Click here to see course descriptions for Information Systems and Business Analytics Courses.

 

Admission Requirements

  • Applicants must have a baccalaureate degree (BS or BA).
  • Applicants must have appropriate course work as described below.

Admission to the Data Science Certificate program is open in all three semesters. We recommend that students apply either in the Fall or Spring semester because many certificate courses are not offered in the Summer semester.

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 Science Certificate please contact:

 

Tiffany


E-mail: graduate@uc.edu
Phone: 513-556-7020

Roger Chiang

Roger Chiang, PhD
Data Science Certificate Program Director