In today's society, government, industry and many other institutions collect and analyze large amounts of data to further their goals. To address these growing needs, the Department of Mathematics and Computer Science and the Department of Psychology offer undergraduate and graduate certification programs in Data Visualization and Analysis. These unique programs teach data analysis, visualization and cognitive psychology. Students may earn the certificates by taking courses completely online or on-site at Seton Hall University's campus.
The programs identify the skills and knowledge that information workers need to succeed. They train students to communicate information clearly and effectively through graphic depictions that stimulate and encourage viewer engagement. Students learn how to analyze and portray complex data in an attractive and vivid design format. Students also practice preparing real-world data for storing in databases, analyzing data with statistics and machine-learning tools, and using visualization in order to study data and present findings.
Who should apply?
The certificate programs are designed for individuals who want to explore careers in visualization design or data analytics and who are:
- Professionals who need skills in data visualization and analysis for their careers; or
- University students who want to supplement their education with data visualization and analysis.
The skills learned in the certificate programs are in demand in many industries, such as marketing, finance, insurance, and health care, and in many academic fields, such as business, criminal justice, economics, psychology, sociology, biology, and applied mathematics.
How do I Apply?
To apply to the undergraduate Certificate in Data Visualization and Analysis, please submit an undergraduate application for admission. You will enroll at Seton Hall as a non-matriculated undergraduate student.
To apply to the graduate Certificate in Data Visualization and Analysis, please complete a graduate application for admission.
- PSYC 1101 Introduction to Psychology (minimum grade of C-), or equivalent
Undergraduate admission to Seton Hall University (enroll as a non-matriculated student)
- PSYC 1101 Introduction to Psychology (minimum grade of C-), or equivalent (not required for students who enroll in the online program)
- Minimum undergraduate GPA: 2.75
- Graduate admission to Seton Hall University
Data Visualization and Cognition (6 credits)
Undergraduate: DAVA 3000 and PSYC 3214
Graduate: DAVA 7000 and PSYC 7214
Data Mining (3 credits)
Undergraduate: DAVA 3010
Graduate: DAVA 6010
Statistics (3 credits)
Undergraduate: MATH 1203 (or approved substitutes such as BQUA 2811, CHEM 4212, MATH 2111, MATH 3711, PSYC 2311 for majors with these courses)
Graduate: PSMA/HCAD 6002 (or approved substitutes such as CHEM 6212, GMHS 7500+7508, PSYC 6100+6200 for majors with these courses)
Internship (3 credits)
Undergraduate: DAVA 4011 or PSYC 3408
Graduate: DAVA 8011 or DAVA 8021
Elective ( 3- credits)
Choose from graphics, communication or applications.
Undergraduate: AART 1223, BITM 2701, BITM 3727, BMIE 3716, COGR 3323, CSAS 4115, ENGL 2516, ENVL 3150
Graduate: COGR 6323, COST 7220, EDST 6215, EDST 6304, GMHS 7604, PSMA 6003
The online curriculum is the same as the on-site curriculum (above), however, instead of taking an elective, undergraduate students must take ENGL 2516 and graduate students must take PSMA 6003. In some cases, with the permission of the program director, students may be able to substitute other courses for ENGL 2516 or PSMA 6003.
Tuition and Fees
The current tuition and fees are posted on the pages of the Office of the Bursar. Graduate certificate program tuition is based on College of Arts and Sciences rates.
The following faculty members are involved in the organization of the certificate programs:
Questions? Contact Us:
Dr. Manfred Minimair, Program Director, Associate
Professor, Seton Hall University, Department of Mathematics and Computer
Science, Science Center 122. E-mail: firstname.lastname@example.org, Tel: (973) 761-9466 , FAX: (973) 761-9772
Melissa Kohlman, Secretary, Seton Hall University, Department of Mathematics and Computer
Science, Science Center 116. E-mail: Melissa.Kohlman@shu.edu, Tel: (973) 761-9466 , FAX: (973) 761-9772