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Arts and Sciences
Data Mining classroom with students
Graduate
Certificate

Data Analytics

This program provides the skills and knowledge that data analysts need to succeed. The students learn how to analyze and visualize complex data with industry-standard applications, including Tableau, and programming languages such as R and Python. The program trains students to communicate information clearly and effectively through graphic depictions that stimulate and encourage viewer engagement. Students practice preparing real-world data for storing in databases, analyzing data with statistics and machine-learning tools, and using visualization in order to explore data and present findings. The program is offered online; students are not required to be present on campus. 

Prerequisites: 

  • Minimum undergraduate GPA: 2.75 
  • Graduate admission to Seton Hall University
     

Resources:

Data Visualization and Analysis

Undergraduate and graduate programs are offered by the Department of Mathematics and Computer Science and the Department of Psychology.

Elyse Carter - Art Director

”The Data Analytics program gives us the foundation and training to understand how people receive information and how to clearly convey information using best practices in the industry today.”

Elyse Carter
Former Art Director, Seton Hall University

Curriculum

The curriculum consists of three required courses (9 credits) and one elective course (3 credits) for a total of 12 credits. The program is 100% online.

Required Courses (9 credits)

DAVA 7000 Data Visualization
DAVA 6010 Data Mining 
PSMA 6002 Research Methods and Statistical Analysis
MATH 6811 Statistics for Data Science (for students who demonstrate the required competencies from Undergraduate Calculus 1 and 2, and Statistics) or BIOL 6113, CHEM 6212, GMHS 7500 and 7508, HCAD 6002, PSYC 6100 and 6200 (for majors with these courses)

Elective Course (3 credits, choose one of the following)

DAVA 7111 Text Mining
DASC 8211 Machine Learning (for students who have earned at least a B- in DAVA 6010 Data Mining, have passed an undergraduate statistics course or have earned at least a B- in one of the required graduate statistics courses, and have passed Undergraduate Calculus I or demonstrate the required skills)
PSMA 7800 Ethical Challenges of Big Data
PSYC 7214 Cognition for Visualization

Credits for Graduate Programs

The graduate certificate provides credits for two graduate programs in the College of Arts and Sciences, M.S. in Data Science and Masters in Public Administration. Nine credits count equally for all programs and the remaining credits depend on the statistics course.

  • M.S. in Data Science: total of 12 credits towards the curriculum if DASC 6811 Statistics for Data Science is taken
  • Masters in Public Administration: total of 12 credits towards the curriculum if PSMA 6002 Research Methods-Stat Analy or DASC 6811 Statistics for Data Science is taken

Faculty Listing

Faculty from both the Department of Mathematics and Computer Science and the Department of Psychology are involved in this certificate program.

Manfred Minimair posing
Manfred Minimair
Professor, Program Director for Computer Science, Cybersecurity, Data Science
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Susan Nolan Profile posing
Susan A. Nolan
Professor
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headshot of Marianne Lloyd posing
Marianne Lloyd
Professor
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Bert Wachsmuth posing posing
Bert Wachsmuth
Associate Professor
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Our Graduate Programs

The College of Arts and Sciences is dedicated to providing graduate programs to educate the professionals, scientists, educators and leaders of the future. Our goal is to impart the skills and knowledge that graduate students need to develop and follow successful career paths and to prepare them to contribute meaningfully to society through service and/or the advancement of knowledge. We believe that an education grounded in the principles of liberal arts and dedicated to societal advancement through research and interdisciplinary studies is the best instrument for producing well-rounded citizens with intentions that are both personally fulfilling and noble.

Contact Us

  • Manfred Minimair, Ph.D.
  • Program Director
  • (973) 761-9466
  • dava@shu.edu