M.S. in Business Analytics

The M.S. in Business Analytics is a 33-credit-hour program, typically completed in approximately two years for full-time students. It features a flexible learning environment with a mix of hybrid (in-person and online) and fully online courses, delivered on an accelerated 8-week schedule. Hybrid courses have in-person meetings on the Chicago campus, and the full-time hybrid course delivery meets F1 visa requirements for international students. The program is recognized for its "analytical core" which builds deep technical skills in data preparation, analysis, and communication, supporting business decisions. Students can also choose from various concentrations to further specialize their studies.

STEM-Designated: Yes, Roosevelt University's M.S. in Business Analytics program is STEM-designated. This is a significant advantage for international students, as it allows them to be eligible for a 24-month Optional Practical Training (OPT) extension after completing their degree, providing a total of up to three years of work authorization in the U.S. This designation significantly enhances career opportunities for international graduates in the U.S.

Curriculum: The curriculum is designed to provide a deep technical foundation alongside practical business application. It comprises eight core courses (24 credit hours) and three electives (9 credit hours), totaling 33 credit hours. Core analytical courses include "Database Systems," "Introduction to Business Analytics & Intelligence," "Data Analytics and Management," "Data Preparation & Cleansing," "Business Analytics and Statistical Inferencing Models," "Predictive Business Data Analytics," and "Data Visualization & Business Communication." The program culminates with a "Business Analytics Capstone" project. Students can choose concentrations such as Data Science (with courses like Big Data, Computing with Data in Python, Deep Learning), Marketing, Finance, Real Estate, or Health, Ethics, Analytics, and Law (HEAL), allowing for tailored specialization. The program primarily features R as the technology tool, with exposure to MS Excel, Tableau, and potentially other Microsoft and IBM technologies.

Research Focus: The M.S. in Business Analytics at Roosevelt University emphasizes an applied research focus, preparing students to solve real-world business problems through data-driven insights. The "analytical core" courses, such as "Statistical Modeling for Business Analytics" and "Predictive Business Data Analytics," equip students with the methodologies to conduct rigorous data analysis. The program's capstone project provides a hands-on opportunity to apply learned concepts to complex business challenges, requiring students to engage in data collection, analysis, and interpretation to derive actionable recommendations. This focus ensures graduates are adept at translating raw data into strategic business intelligence.

Industry Engagement: Roosevelt University fosters strong industry engagement for its M.S. in Business Analytics program, leveraging its prime location in Chicago, a major business and financial hub. The university's Career Services office actively collaborates with major companies to recruit students for internships and full-time positions in the rapidly growing field of business analytics. Faculty members often have professional experience in the industry, bringing current trends and real-world case studies into the classroom. This direct connection ensures the curriculum remains relevant to industry demands and provides students with valuable networking opportunities and pathways to employment in various sectors seeking data-savvy professionals.

Global Perspective: Roosevelt University's M.S. in Business Analytics program cultivates a global perspective by addressing the universal applicability of data analytics across international markets and diverse business environments. The program attracts a diverse student body from metropolitan Chicago and around the world, enriching classroom discussions with varied cultural insights and global business challenges. The curriculum's focus on statistical analysis, predictive modeling, and data visualization are skills universally valued in the global marketplace. By equipping students to harness data for decision-making in any functional area of an organization, the program prepares graduates for roles that transcend geographical boundaries and contribute to global business intelligence.

Postgraduate Entry Requirements

Application Fee: $42

Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 65% or above in their bachelor's degree.

English Language Proficiency:

• IELTS: Overall band score of  6.5 or 7.0 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 80 or higher.
• PTE: Overall score of 55 or higher.
• DET (Duolingo English Test): Minimum score of 110.

Roosevelt University in the United States offers a variety of scholarship opportunities specifically designed for international students to support their academic journey and make higher education more affordable. These scholarships recognize academic excellence, leadership potential, and contributions to campus diversity.

Merit-Based Scholarships: International students applying to Roosevelt University are eligible for merit-based scholarships awarded based on academic achievements, standardized test scores, and overall potential. These scholarships can significantly reduce tuition costs and are automatically considered during the admissions process.

International Student Scholarship Program: Roosevelt University provides special scholarships targeted at international students, aiming to encourage a diverse and global student body. These awards vary in amount and criteria but typically recognize outstanding academic performance and community involvement.

Departmental Scholarships: Certain colleges and departments within Roosevelt University, such as the Chicago College of Performing Arts and the Walter E. Heller College of Business, offer additional scholarships for international students enrolled in specific programs. These awards may be based on talent, portfolio, or academic excellence in the field of study.

An M.S. in Business Analytics from Roosevelt University equips graduates with a powerful combination of technical data skills and strategic business understanding. This STEM-designated program, situated in the thriving business hub of Chicago, prepares individuals to interpret complex data, derive actionable insights, and drive informed decision-making across diverse industries.

Business Intelligence (BI) Analyst: These professionals focus on analyzing historical data to provide insights into past business performance. They create dashboards, reports, and visualizations (often using tools like Tableau) that help management understand trends and make data-driven decisions.

Data Analyst: A common entry point, data analysts collect, clean, process, and interpret large datasets to identify patterns and trends. They translate data findings into actionable recommendations for business improvement, working across various departments.

Data Scientist: This advanced role involves building predictive models, developing machine learning algorithms, and conducting complex statistical analyses to uncover deeper insights and forecast future outcomes. Graduates with a strong computational background, especially from the Data Science concentration, are well-suited for this path.

Analytics Consultant: Working for consulting firms or independently, analytics consultants advise various organizations on how to leverage data for strategic advantage. They identify business problems, design analytical solutions, and implement data-driven strategies for clients across different sectors.

Marketing Analyst: Specializing in marketing, these professionals analyze marketing campaign performance, customer behavior, market trends, and competitive data to optimize marketing strategies, enhance customer engagement, and improve ROI.

Financial Analyst (with Analytics Focus): In the financial sector, graduates analyze financial data, evaluate market conditions, and use predictive models to inform investment decisions, risk assessment, and financial forecasting for banks, investment firms, or corporate finance departments.

Operations Research Analyst: These professionals use advanced analytical and mathematical modeling techniques to optimize complex business processes, improve efficiency, allocate resources, and solve logistical challenges in areas like supply chain management, manufacturing, and healthcare.

Healthcare Data Analyst/Analytic Specialist: With the HEAL concentration, graduates can analyze patient data, operational efficiency, and healthcare outcomes to improve patient care, reduce costs, and optimize healthcare delivery systems.

Product Analyst: Working within technology or product-driven companies, product analysts use data to understand user behavior, product performance, and market needs, informing product development, feature prioritization, and overall product strategy.

Business Systems Analyst: These professionals bridge the gap between business needs and IT solutions. They gather requirements, analyze existing systems, and design new systems or improvements to enhance business processes, often with a strong focus on data flow and system integration.