Business Analytics, M.S.

Program Overview

The University of New Haven's Business Analytics M.S. program equips graduates to analyze and interpret large amounts of data to enhance business operations. The program offers three concentrations and can be completed in 18 months. Graduates are prepared for careers in data science, marketing analytics, and other data-related fields.

Program Outline

• University of New Haven**

Degree Overview

Objective:

• Prepare graduates to analyze large amounts of data, interpret it, and use it to increase profitability, enhance productivity, and improve operations.
• Equip students with the ability to use and deploy predictive analytics, machine learning, and data visualization for maximum results.

Program Description:

• The program is designed for individuals with a strong foundation in business practices, statistics, and programming.
• Graduates develop a thorough understanding of data’s potential across all business areas and learn how to use it effectively to make informed decisions.
• Can be completed in 18 months (four semesters).
• Offers three specialized concentrations:
• Global Supply Chain Analytics
• Hospitality and Service Analytics
• Marketing Analytics

Outline

Program Content:

• Courses cover data analysis, predictive modeling, machine learning, data visualization, and business applications of analytics.

Structure:

• The program consists of 10 courses (30 credits) and a capstone project.
• Courses are offered in a hybrid format, with a mix of online and on-campus sessions.

Course Schedule:

• Courses are typically offered in the evenings and on weekends to accommodate working professionals.
• A sample course schedule is available online.

Individual Modules:

• See the "Selected Courses" section below for a list of individual module titles and descriptions.

Assessment

Assessment Methods:

• Coursework assignments
• Exams
• Capstone project

Assessment Criteria:

• Students are assessed on their ability to:
• Analyze and interpret data
• Develop and apply predictive models
• Communicate their findings effectively

Teaching

Teaching Methods:

• A combination of lectures, case studies, group projects, and hands-on exercises.

Faculty:

• Faculty members are experts in their fields with both professional and academic experience.

Unique Approaches:

• The program uses a data-driven approach to learning, focusing on real-world applications.
• Students have access to state-of-the-art software and technology.

Careers

Potential Career Paths:

• Data Scientist
• Statistician
• Marketing Analyst
• Business Analyst
• Management Analyst

Career Opportunities:

• The program prepares graduates for a wide range of careers in various industries, including:
• E-commerce
• Finance
• Healthcare
• Higher education
• Government
• Professional sports
• The Bureau of Labor Statistics projects an 11% growth in data-related jobs by 2024.

Outcomes:

• Graduates are well-prepared for successful careers in data analytics.
• The program is nationally recognized by University HQ as one of the best in the country for business analytics.
• The University of New Haven's Career Development Center has been named one of the best in the nation by The Princeton Review.
• Students have access to a variety of resources, including career counseling, job shadowing, and on-campus interviews.
• The program offers graduate student housing options.

Selected Courses

• Applied Econometrics
• Business Analytics
• Business Forecasting
• Data Visualization and Communication
• Database Management for Business Analytics
• Decisions in Operations Management
• Digital Marketing Strategy
• Global Supply Chain Management
• Leadership and Teambuilding
• Managing Quality in the Supply Chain
• Marketing Analytics
• Mining for Business Intelligence
• Social Media Marketing
• Supervised Machine Learning
• Unsupervised Machine Learning