M.A. in Anthropology
The University of Tulsa, a respected private research institution in the United States,...
M.S.B.A. in Business Analytics
Tulsa, Oklahoma
INTAKE: August
Program Overview
The University of Tulsa's Master of Science in Business Analytics (M.S.B.A.) is a cutting-edge professional master's program specifically designed to equip students with the skills to analyze, interpret, and leverage large datasets for informed business decision-making. This program targets individuals seeking to advance their careers in the rapidly growing field of big data analytics. The curriculum emphasizes the exploration and comprehension of data generated in diverse modern business environments and cultivates proficiency in selecting and utilizing state-of-the-art tools and modeling techniques. Graduates demonstrate expertise in analytics programming, data management, data visualization, and quantitative analysis, making them highly sought-after in various industries.
STEM Designated: Yes, the M.S.B.A. in Business Analytics program at the University of Tulsa is STEM-designated. This is a significant advantage, particularly for international students, as it often allows for an extended Optional Practical Training (OPT) period in the United States after graduation, providing more opportunities for professional experience in the field.
AACSB Accredited: Yes, the Collins College of Business at the University of Tulsa, which houses the M.S.B.A. in Business Analytics program, is fully accredited by AACSB International – The Association to Advance Collegiate Schools of Business. This accreditation is a hallmark of excellence, indicating that the business and accounting programs meet the highest global standards for quality and continuous improvement.
Curriculum: The M.S.B.A. in Business Analytics curriculum is typically a 30-credit-hour program, structured to provide a comprehensive understanding of data analytics within a business context. Core courses focus on developing proficiency in areas such as analytics programming, data management, data visualization, and quantitative analysis. While specific course names may vary, the program is designed to integrate the theoretical foundations of business analytics with hands-on application. It emphasizes the use of cutting-edge tools and modeling techniques to analyze and interpret big data, preparing students to solve real-world business problems and communicate their findings effectively. The program may also offer flexibility through electives to allow for specialization in certain areas.
Research Focus: The M.S.B.A. program in Business Analytics at the University of Tulsa is heavily geared towards applied research and data-driven decision-making. While it is a professional master's degree, the curriculum is informed by faculty research. For example, Dr. Kazim Topuz, a key faculty member, focuses his work on designing probabilistic graphical models, including Bayesian Belief Networks and Markov Networks, integrated with data mining techniques for data-driven decisions. This indicates a strong emphasis on leveraging advanced analytical methods to extract actionable insights from data, which forms the core of business analytics research and application. The program aims to train students to understand and utilize research-backed analytical approaches to solve complex business challenges.
Industry Engagement: The University of Tulsa's M.S.B.A. in Business Analytics program boasts an impressive employment rate, with a high percentage of graduates finding jobs within six months of graduation. This is a direct result of the program's strong industry engagement. The curriculum is designed to meet the demands of the modern business environment, cultivating skills in selecting and utilizing cutting-edge tools and modeling techniques that are directly applicable in professional settings. Alumni from the program find employment at leading companies such as Amazon, Williams, Ascension St. John Medical Center, General Motors, and Thermo Fisher Scientific, demonstrating the strong connections and career readiness fostered by the program. The university also offers various funding opportunities like merit scholarships and graduate assistantships, further enhancing its appeal to talented individuals.
Global Perspective: The M.S.B.A. in Business Analytics at the University of Tulsa inherently offers a global perspective by addressing the universal need for data-driven decision-making in an increasingly interconnected global economy. Businesses worldwide generate vast amounts of data, and the principles and tools of business analytics are universally applicable across different industries and geographical boundaries. The program prepares students to understand and leverage big data from "diverse modern business environments," implying a broad, international applicability of their skills. The AACSB accreditation, an internationally recognized standard, further solidifies the program's global standing and ensures its relevance in an international business context.
Location
Tulsa, Oklahoma
Score
IELTS 6.5
Tuition Fee
USD 27858
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% 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 90 or higher.
- PTE: Overall score of 56 or higher.
- DET (Duolingo English Test): Minimum score of 110.
Standardized Test Requirements
- GRE (Graduate Record Examinations): Minimum score of 300 required.
- GMAT (Graduate Management Admission Test): Minimum score of 580 required.
The University of Tulsa (TU) in the United States offers a variety of scholarship opportunities to support international students in their academic journey. Attracting talented students from around the world, TU provides both merit-based and need-based scholarships to help reduce the financial burden of higher education.
Merit-Based Scholarships: International students admitted to TU are automatically considered for merit-based scholarships based on their academic achievements, standardized test scores, and overall application strength. These scholarships can significantly offset tuition costs, with awards ranging from partial tuition waivers to full scholarships. The university looks for outstanding academic records, leadership qualities, and extracurricular involvement when awarding these scholarships.
International Student Scholarships: TU offers specific scholarships aimed at international students, including renewable awards that encourage academic excellence throughout the duration of the degree program. Some scholarships are designated for particular fields of study or for students demonstrating strong community involvement.
Graduate Assistantships and Fellowships: Graduate international students may apply for assistantships and fellowships that provide tuition remission and stipends in exchange for teaching or research responsibilities. These positions not only offer financial support but also valuable professional experience within the university environment.
An M.S.B.A. in Business Analytics from the University of Tulsa provides graduates with highly sought-after skills in analyzing, interpreting, and leveraging large datasets to drive informed business decisions. This STEM-designated program, housed within the AACSB-accredited Collins College of Business, emphasizes hands-on proficiency in analytics programming, data management, data visualization, and quantitative analysis. With a strong track record of graduates securing positions at leading companies like Amazon, Williams, General Motors, and Thermo Fisher Scientific, the University of Tulsa's program effectively prepares students for impactful careers in the rapidly growing field of big data analytics.
Data Scientist: This is a top-tier role for MSBA graduates. Data scientists use advanced statistical analysis, machine learning algorithms, and programming skills to uncover patterns, build predictive models, and extract actionable insights from complex datasets across various industries.
Business Intelligence (BI) Analyst: BI analysts focus on using data to understand past and current business performance. They create dashboards, reports, and visualizations to help organizations track key metrics, identify trends, and support strategic decision-making.
Data Analyst: Data analysts collect, clean, and interpret data to answer specific business questions. They often work on more structured datasets and provide reporting and initial insights to inform operational and strategic decisions.
Market Research Analyst: These professionals use analytical skills to study market conditions, consumer behavior, and competitive landscapes. They analyze data to identify market trends, forecast demand for products or services, and advise businesses on marketing strategies.
Operations Research Analyst: Operations research analysts apply advanced analytical methods, such as mathematical modeling and optimization, to improve efficiency and effectiveness in complex organizational processes, including supply chain management, logistics, and resource allocation.
Consultant (Business Analytics/Data Strategy): Graduates can work for consulting firms, advising diverse clients on how to leverage data for competitive advantage. This involves assessing current data infrastructure, developing data strategies, implementing analytical solutions, and training client teams.
Financial Analyst (with Analytics Specialization): In the finance sector, these analysts use business analytics to evaluate investment opportunities, perform risk assessments, forecast financial performance, and optimize financial strategies for banks, investment firms, and corporations.
Programmer/Analytics Developer: With strong programming skills cultivated in the MSBA program, graduates can develop and maintain the software tools, databases, and analytical platforms used by businesses to process and analyze data.
Business Operations Specialist/Analyst: These roles focus on improving business processes and operational efficiency. Leveraging analytics, they identify bottlenecks, streamline workflows, and implement data-driven solutions to enhance productivity and reduce costs.
Product Analyst (Tech/Software): In technology companies, product analysts use data to understand user behavior, evaluate product performance, and inform product development decisions. They analyze A/B test results, user engagement metrics, and market data to drive product improvements.
