Master of Science in Applied Mathematics

The Master of Science in Applied Mathematics welcomes students with a strong undergraduate background in mathematics or a related field, such as computer science, engineering, physics, finance, economics, or certain social sciences.  The Master of Science in Applied Mathematics is designed to prepare students to handle a variety of mathematical tools that are used in the workforce such as statistical methods, numerical methods, modeling, and financial mathematics.

The MS in Applied Mathematics has four required courses:

A student may choose six electives among the courses offered for the Master of Science in Mathematics. To encourage interdisciplinary connections, the Master of Science in Applied Mathematics allows students to take up to two courses from a list of approved courses from the MS programs in Data Science, Data Analytics or Finance. Students should speak directly to the MS in Applied Mathematics program director to discuss viable course options. 

Typically in the final semester, students are required to complete a capstone consisting of a project or an oral or written exposition of mathematics, in consultation with a faculty advisor. Capstones are generally associated with a course the student is taking, though it may be associated with an independent study. The faculty advisor may or may not be the instructor of the associated course.  Each student, in collaboration with their advisor, will develop a proposal in advance for their capstone and secure the necessary approvals to proceed.  

Master of Business Administration in Business Technology (Shanghai Only)

Minor in Financial Technology

Financial technology is changing the way all financial services are offered. The innovations from FinTech are improving the delivery of banking and payment services as well as creating innovative offerings that bring new ideas to the market. The Finance industry needs professionals who understand this technology and can make decisions about how these advances will impact the market. The FinTech Minor prepares students to encounter new technology in Finance and make the important assessments about how it is applied to drive new services. The FinTech Minor brings Finance and Data Analytics together to provide a more complete understanding of the impact that technologies, including blockchain, have on the creation of new banking, payment, and financial services.

Master of Business in Marketing Analytics and Strategy

Specializations  

Artificial Intelligence (AI) Specialization

With a specialization in Artificial Intelligence, students gain hands-on experience in building AI-driven solutions, preparing them to tackle real-world challenges using advanced AI skills, data science and machine learning techniques.

Media Specialization

The media specialization prepares students with the latest skills to lead in today’s digital landscape. Students gain practical skills in campaign planning, data-driven marketing, and digital performance analysis using industry software while obtaining digital and social media marketing certifications.

Research Specialization

This research-focused specialization equips students with advanced skills in marketing analytics, research methods and data science. Through courses such as Advanced Marketing Analytics, Data Munging in Python, and Machine Learning Operations, students learn to manage, analyze, and operationalize complex data for strategic decision-making.

Artificial Intelligence Concentration, Master of Business Administration

MBA AI offers two tracks based on a student’s background. The subject area courses will be required, electives will vary based on whether DATA 5405 is taken or waived. 

DATA 5405 can be waived based on the successful completion of an online test-out exam.

Doctor of Public Health

The Doctor of Public Health (DrPH) program is designed to prepare public health professionals for advanced leadership roles in academia, healthcare, policymaking, and research. The program emphasizes ethical leadership, social justice, and service to underserved populations. With an emphasis on refining essential public health skills such as research methods, policy analysis, program design, and public health education, this program equips graduates to address complex public health challenges on both local and global scales.

The following are the Public Health Program goals:

1. provide education, mentorship, and practice opportunities to promote students’ attainment of core competencies of public health practice;
2. contribute to public health knowledge through interdisciplinary research and practice; and
3. impact public health practice through responsive and sustainable community engagement and development of a workplace that represents diverse communities.

Requirements

PUBH 7001: Advanced Research Methods in Public Health (3 credits)

PUBH 7002: Leadership and Collaboration in Public Health (3 credits)

PUBH 7003: Strategic Leadership and Organizational Change in Public Health (3 credits)

PUBH 7004: Inclusive Leadership and Resource Management in Public Health (3 credits)

PUBH 7005: Systems Interventions and Policy Design in Public Health (3 credits)

PUBH 7006: Public Health Education and Training Strategies (3 credits)

PUBH 7007: Data Visualization and Communication for Public Health Impact  (3 credits)

PUBH 7008: Advanced Implementation Science in Public Health (3 credits)

PUBH 7009: Applied Ethics in Public Health Practice and Policy (3 credits)

PUBH 7980: Public Health Doctoral Applied Practice Experience (1 credit)

PUBH 7901: Public Health Doctoral Residency (0 credits)¹

PUBH 7902: Public Health Doctoral Professional Development (0 credits)²

PUBH 7971: Public Health Doctoral Dissertation Proposal Development (2 credits)

PUBH 7972: Public Health Doctoral Dissertation Research and Data Collection (3 credits)

PUBH 7973: Public Health Doctoral Dissertation Writing and Defense (3 credits)

PUBH 7974: Public Health Doctoral Dissertation Continuation (1 credit)

Comprehensive Exam

Elective (3 credits)

Elective (3 credits)