Data Analytics B.S./M.S.

The College of Arts & Sciences and the College of Engineering & Design offer students an opportunity to earn both their undergraduate and graduate degrees through its five-year B.S./M.S. Data Analytics program. This program enables qualified students to earn, in a continuous plan of study, both a B.S. and a M.S. in Data Analytics in five years.

Upon completion of the B.S. program, graduates are expected to:

  • Write reports and make presentations containing visual data or statistical results.
  • Utilize database management systems and spreadsheet programs to collect, organize and display data.
  • Use standard techniques of mathematics and statistics in order to address problems or explore phenomenon that are prevalent in various fields.
  • Develop linkages between their interdisciplinary intellectual inquiries and their own ethical positions in terms of contemporary challenges facing individuals, communities and societies.

Upon completion of the M.S. program, graduates are expected to:

  • Integrate the knowledge of mathematics, statistics and computer science to collect, analyze and interpret data.
  • Use data to drive organizational decisions and optimize performance.  
  • Conduct analysis for advanced data mining strategies to optimize model performance.
  • Make recommendations based on the evaluation of the ethical, legal and political issues of data usage and its implications for a given application, market or population.


Eligible undergraduate students who would like to pursue a five-year B.S./M.S. Data Analytics degree should apply directly to the five-year program by the end of their first year to take maximum advantage of this accelerated option. Students who qualify for the five-year degree will need to complete a formal application with Graduate Admissions by no later than the beginning of their junior year. Students must satisfy separate admission requirements for both undergraduate and graduate programs. Admission to the undergraduate program does not guarantee admission to the graduate program.

Students will begin taking graduate-level courses during the fall semester of their fourth year.

Qualified students who have already been accepted to the five-year B.S. /M.S. Data Analytics program will also need to complete a formal application with Graduate Admissions. When submitting the formal application to Graduate Admissions, the following must be submitted or completed:

  1. A completed application for graduate admission, marking the M.S. Data Analytics box under the Special Programs Selection section
  2. Cumulative grade point average of 3.0 or higher
  3. Two letters of recommendation
  4. Current résumé
  5. Statement of purpose

Data Analytics

A four-year program leading to the bachelor of science degree

Major Courses
CSIS1000Problem Solving and Programming Concepts3
CSIS1101Computer Science I3
CSIS2030Database Concepts3
CSIS2080Database Design3
DMSM2025Introduction to Data Visualization3
DMSM2050Spreadsheets for Data Analysis3
FIT1040Spreadsheet Design for Business Solutions3
MATH2220Linear Algebra3
MATH4900Applied Statistics3
Major Electives
Choose 15 credits from the following courses or declare a minor: *,**15
HCI/Usable Security
Information Security with Cryptography
Choose three of the following:
Computer Science II
Introduction to Technical Communication
Discrete Mathematics
Introduction to Project Management & Project Membership
Applied/Experiential Learning
Choose 9 credits from the following:9
College of Arts & Sciences Internship Ic
Directed Experiential Education D
Undergraduate Research Experience
Honors Directed Academic Experience
Study Abroad Sa
Related Professional Studies
CAR0010Career Management1
FYS1020First-Year Seminar1
A&S Core Experience
Communications Foundation Courses 9
Rhetoric & Composition I
Rhetoric & Composition II
Communication Skills
Integrative Learning 6
Two ILS courses, one at the 2000 level, one at the 4000 level
Arts and Humanities 6
Ethics: A Global Perspective
One course from ART, HIST, HUM, LIT, or REL
Quantitative Analysis I (or higher, based on student's placement) ***
Quantitative Analysis II
One course from BIO, CHM, PHY or SCI
Social Sciences6
One course from ANTH, GEND, LEAD, PSCI, PSYC, RES or SOC
A&S Electives6
Statistics I
Introduction to Biostatistics
Statistics II
Free Elective #
15 credits selected from 1000-4999 numbered offerings within the university15
Graduate Courses ****
DATA5025Tools for Data Analytics3
DATA5100Statistical Analysis3
DATA5400Introduction to Predictive Modeling3
DATA5600Research Methods in Data Analytics3
Total Credits122.0

Students are responsible for meeting prerequisites.


Students should consult with their advisor when selecting a minor.


Students that do not place in MATH1035 Quantitative Analysis I, must take an extra course, MATH1020 Fundamentals of Algebra, as a prerequisite. If needed this counts as a free elective.


Students use 3 credits from Applied/Experiential Learning and 9 free elective credits for graduate-level courses in the Data Analytics MS during their 4th year.

IcTypically, internships require a minimum of six credits. Students interested in a 9 or 12-credit internship can apply additional experiential learning and free elective credits, if available. Students are strongly encouraged to contact a faculty advisor before scheduling internship and free elective credits.

D Directed Experiential Education (DEE) opportunities are based on project availability with community partners and student eligibility. For more information, visit Experiential Education & Career Services (EE&CS). 

SaTo be eligible to count toward Applied/ Experiential Learning, a Study Abroad offering must meet certain requirements. Contact JWU Global to discuss eligible Study Abroad options for this degree program.

#  In addition to classes, free elective credits may be applied to a number of options such as internship, study abroad, Directed Experiential Education courses and courses in a specialization or minor as relevant. For Accelerated Master's program students, up to three graduate-level courses may apply. Students are strongly encouraged to contact a faculty advisor before scheduling free elective credits.

Data Analytics

Master of Science

Core Courses
DATA5025Tools for Data Analytics 3
DATA5050Data Management3
DATA5100Statistical Analysis 3
DATA5150Data Mining3
DATA5200Data Visualization3
DATA5300Big Data Analytics3
DATA5350Text & Web Mining Analytics3
DATA5400Introduction to Predictive Modeling 3
DATA5515Advanced Topics in Predictive Analytics3
DATA5550Optimization Simulation3
DATA5600Research Methods in Data Analytics 3
DATA5700Data Analytics Capstone3
Total Credits36.0

These graduate courses will fulfill the bachelor of science requirements in the 4th year.  Please note:  The bachelor of science is not awarded until all graduate-level courses applying to the undergraduate degree have been successfully completed. 

NOTE: Students must pass MATH0010 Pre-Algebra or have equivalent placement scores to enroll in required math course(s).

Note: Students must pass ENG0001 Writing Workshop or have equivalent placement scores to enroll in ILS 2000-level courses

In collaboration with academic colleges across all JWU campuses, JWU Global Study Abroad programs offer a variety of international options for major, minor, arts and sciences, and elective credit at many affordable price points for students during the academic year, break periods, and summer. Faculty-led, exchange, affiliate, and direct-enroll programs range in duration from one week to a full semester or full year. Financial aid may be applied and scholarships are available. Visit the study abroad website for information, program descriptions and online applications. Where will you go?