Data Science and Data Analytics Certificates

 

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 description for Information Systems and Business Analytics Courses.

To learn more about this certificate, please contact:

 

Tiffany Cooper

Tiffany Cooper
Associate Director of Graduate Recruitment
E-mail: coopertf@ucmail.uc.edu
Phone: 513-556-7188

Ed Winkofsky

Ed Winkofsky, PhD
Adjunct Professor and MS-BANA Director

 

 

The Data Science graduate certificate is a collaborative program offered between the Computer Science and Business Analytics programs

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

  Course No. Course Title Credit Hours

Core

15 credits

EECE 8075 Data Warehousing and Mining 3
CS 6052 Intelligent Data Analysis 3
CS 6065 Cloud Computing 3
BANA 6037 Data Visualization 2
BANA 7038 Data Analysis Methods 2
BANA 6043 Statistical Computing 2

 

Admission Requirements

  • Applicants must have a baccalaureate degree (BS or BA).
  • 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.

Course descriptions should be added in the online application.

To learn more about the Data Science Certificate please contact:

 

Tiffany

Tiffany Cooper
Associate Director of Graduate Recruitment
E-mail: coopertf@ucmail.uc.edu
Phone: 513-556-7188

Roger Chiang

Roger Chiang, PhD
Data Science Certificate Program Director