The M.S. in Applied Analytics is a 30-credit, fully online program designed for professionals who are interested in enhancing their knowledge and skills within the field of data science and applied analytics. The program dives into the core concepts and principles of data analytics, providing a solid foundation in statistical methods, artificial intelligence, and machine learning to understand, analyze, and interpret massive amounts of data. Throughout the program, students will not only acquire theoretical knowledge in the field but also develop and improve essential skills in critical thinking and problem-solving, leadership, managerial communication, teamwork and collaboration, and ethical decision-making.

Program Design

The program is designed with six core courses (18 credits), three concentration courses (9 credits), and the experiential learning capstone course (3 credits). The six core courses will enhance students’ data analytics and technology skills. This core curriculum is supplemented by three concentration courses in decision-making and management, in which students will apply the knowledge and skills learned in the core courses to their concentration of choice: management or education. The experiential learning capstone allows students to integrate their learning throughout the program and apply it in a real-world setting.

Program Delivery and Tuition Rate

This program is delivered through online instruction, providing flexibility and convenience for working professionals and adult learners. Students may complete the program on a full-time or part-time schedule. It is billed at the non-MBA rate.

Admission Overview

Admission to the Master of Science in Applied Analytics program is selective. This program enrolls new students in the Fall, Spring, and Summer terms.

Applicants must hold a bachelor’s degree from a regionally accredited institution and meet foundational prerequisites that prepare them for advanced coursework in data analytics.

Prerequisite Requirements

To be considered for admission, applicants should have completed coursework in:

• Statistics
• Information Technology

A candidate who has not completed these prerequisites may still be accepted, but admission will be contingent on completing the required prerequisite courses within the first year of enrollment.

Application Requirements

Applicants must submit the following materials:

• Official transcripts from all previously attended colleges and universities
• Personal Statement, describing academic goals, professional experience, and interest in applied analytics
• Resume, documenting prior education, employment, and relevant analytical, technical, or quantitative experience
• $50 nonrefundable orientation fee

Applications are reviewed only when all required materials have been received, including all official transcripts.

How Applications Are Evaluated

Admission decisions are based on a holistic review of:

• Academic history and GPA, including evidence of quantitative or analytical readiness
• Quality and clarity of the Personal Statement
• Alignment with program goals, including readiness for graduate‑level analytics work and demonstrated interest in data‑informed decision‑making

Start Terms

This program admits new students in the:

• Fall
• Spring
• Summer

Deadlines

Applications are reviewed regularly throughout the year, but only when all required materials—including all previous college transcripts—have been received.

To guarantee review for the term of your choice, all application materials must be submitted before the posted general deadline.

Applications submitted by the priority deadline will be reviewed first.
Applicants who complete their materials early may receive an earlier admission decision and have a better chance of securing a seat in their preferred term.

If an application becomes complete but space is no longer available, the applicant will be considered for the next available term.

Because deadlines vary by term, applicants should consult the Graduate Admissions Deadlines Page for the most current timeline.

How to Apply

To apply, visit the SUNY Empire application portal and select Graduate:

https://www.sunyempire.edu/application.html

Complete the online application, upload required documents and arrange for all official transcripts to be sent directly to SUNY Empire. Applications are reviewed only when all required materials have been received.

SUNY Empire alumni and current students do not need to request their Empire transcript.

International Applicants

This is a 100% online program; international applicants may apply. In addition to standard materials, they must also submit:

• A NACES‑member course‑by‑course evaluation (e.g., WES) for all non‑U.S. transcripts
• Proof of English language proficiency (TOEFL or IELTS), unless exempt

Additional Information

Please see the Graduate Admission section of this catalog for a complete listing of materials required to complete a graduate application.

The M.S. in Applied Analytics offers two concentrations: Management and Education. The exact enrollment sequencing of these concentrations should be planned between the student and the advisor as part of degree planning.

Program Curriculum

All students will be required to take six core courses (18 credits), three courses in their area of concentration (9 credits), and the capstone course (3 credits).

Course List

Code	Title	Credits
CORE COURSES (18 credits)		18
INFT 6015	Database Design and Management (3cr)
APAN 6015	Data Models and Structured Analysis (3cr)
APAN 6010	Computer Aided Multivariate Analysis (3cr)
APAN 6020	Data Mining & Machine Learning for AI (3cr)
MGMT 6095	E-Commerce Marketing Strategies (3cr)
MGMT 6185	Quantitative Methods for Decision Making (3cr)
CONCENTRATION COURSES (9 credits)		9
Management Concentration
PPOL 6020	Research Methods (3cr)
APAN 6025	Applied Management Analytics (3cr)
Choose one (3cr):
MGMT 6040	High Performance Management
or MGMT 6105	Leadership in Public & Nonprofit Organizations
Education Concentration
PPOL 6020	Research Methods (3cr)
CURI 6015	Leading in a Learning Environment (3cr)
EDET 6080	Evaluation Assessment and Data Driven Learning Design (3cr)
CAPSTONE COURSE (3 credits)		3
APAN 7010	Applied Analytics Capstone (3cr)
Total Credits		30

Upon completion of the M.S. in Applied Analytics, students should be able to:

• Disciplinary Knowledge: Students will be able to synthesize data to inform business decisions.
• Critical Thinking and Problem Solving: Students will be able to apply appropriate statistical tools and techniques to analyze complex business problems.
• Strategic Thinking: Students will be able to apply analytical methods to address strategic business challenges across diverse organizational contexts.
• Leadership: Students will be able to apply data-driven insights to guide strategic decision-making, influence industry innovation, and lead data-driven organizational initiatives.
• Ethical Reasoning: Students will be able to develop ethical reasoning skills to make responsible decisions in addressing real-world business challenges.\\n
• Global Understanding: Students will be able to assess the challenges and opportunities of managing analytics-driven decision-making in a global business environment.\\n
• Managerial Communication: Students will be able to create and present coherent research reports and presentations to effectively communicate analytical findings.