Program Overview

M.S. Applied Statistics

The Applied Statistics M.S. program is designed to advance students pursuing a statistics-oriented career in industries where basic statistical skills and knowledge of contemporary methods of data analysis and modeling are required. Additionally, for graduate students who intend to pursue a doctoral degree in Applied Probability and Statistics, the M.S. program will equip them with the basic training in foundations needed for further graduate studies and independent research.

Program Details

• Delivery Format: on-campus
• Required Credits: 30

The program aims to develop students' leadership, collaboration, networking, and other professional skills. It focuses on academic excellence, solving real-world problems, and specializing in methods for collecting data by sampling methods and in statistical modeling and analysis.

What You Will Learn

Through the department's active research projects and state-of-the-art facilities, students receive an unparalleled real-world experience. The program specifically aims for students to meet the following learning outcomes:

• Ability to apply a wide range of statistical methods and understand the results at a graduate level.
• Ability to effectively communicate research results and statistical methods to specialists in the field, as well as non-specialist audiences.
• Ability to apply advanced statistical theory and techniques to develop independent research projects and support collaborative research teams.
• Ability to execute, analyze, and interpret statistical research studies that inform policy decisions in government and the private sector.
• Ability to manipulate basic and complex data structures.
• Ability to extend current techniques or develop and implement statistical models as needed to solve current challenges in data analysis.
• Ability to use modern statistical software and programming language for assessments, decision-making, and sharing of information.
• Ability to identify strengths and weaknesses of statistical methods used in a collaborative research setting.

Admissions & Curriculum

The program requires 30 credits. Course listings and prerequisites are available for exploration.

Career Prospects

The Bureau of Labor Statistics projects that employment of statisticians will grow by over 30 percent by 2024. Common job titles include Senior Statistician, Assistant Professor, and Engineer. Top employers include Merck & Company, NYU, and Tata Consultancy Services.

Core Faculty

The program is led by a team of experienced faculty, including:

• Dhar, Sunil, Professor
• Pole, Andrew, Senior University Lecturer
• Subramanian, Sundarraman, Associate Professor

Salaries

Starting Salary, NJIT Average: $62,500 Mid-Career Salary, National Average: $70,000