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MASTER OF SCIENCE IN BUSINESS ANALYTICS
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Program
Overview
Drive organizational decision-making using crucial data and insights with an MS in Business Analytics (MSBA) from OU Online. The MSBA is a 100% online, 32-credit, 16-month program offering convenience and flexibility for students working full-time. The degree offered through the nationally ranked Price College of Business at the University of Oklahoma focuses on statistical modeling, data warehousing and mining, programming, forecasting, and operations research techniques applied to the analysis of business organizations and performance.
Expert-Led
Curriculum is taught by professors of practice with deep experience in the business analytics field and is driven by real-world problems and application that prepares students to make changes in the modern-day workforce after graduating.
Cutting-Edge Tools and Skills
Students couple their interest in business with the enjoyment of working with leading-edge technology and computer programming. Students learn essential tools and techniques, including R, Python, SQL, Tableau, Excel, VBA, SAAS, and SPSS.
Join a relevant, high-demand profession
Over half of global businesses use data insights to monitor and improve financial performance, drive strategy and change, and improve processes while reducing costs, and over 71% are looking to accelerate their business analytics efforts.
Drive Strategy and Change
The degree offered through the nationally ranked Price College of Business at the University of Oklahoma.
Program
Requirements
The Master of Science in Business Analytics program is highly selective. Applicants are not required to have academic or professional experience in the business analytics field prior to application. Students would benefit from experience in the following areas but is not required at time of application/start: programming, writing code, use of complicated software, IT implementation, and general technical skills.
The admissions committee does require the following:
- A bachelor’s degree from an accredited institution (the committee will specifically review GPAs in quantitative coursework)
- GRE/GMAT score – Candidates may request a GMAT/GRE waiver if they meet certain criteria. Speak with your enrollment coach to see if you may be eligible
- Personal statement – To help the admissions committee gain a better understanding of you, your professional accomplishments to date and your career aspirations
- Transcripts (Bachelor’s degree in any field from an accredited institution)
- Current Resume
- Letters of Recommendation will not be required
- International applicants must receive a TOEFL score of 600 or higher on the paper-based test (250 on the computer, 100 on the internet-based test) sent directly from the Educational Testing Service to Institution Code: 6879
Application Timeline: Fall 2024 Application Deadline: Friday, July 19, 2024
The OU Online MS in Business Analytics is a 16-month program focusing on statistical modeling, data warehousing/mining, programming, forecasting, and operations research techniques applied to the analysis of business organizations and performance.
CORE COURSES
CORE COURSES
This course examines the role of information technology, and its management, in supporting an organization’s (internally- and externally-focused) operations and strategies. Particular attention is given to issues associated with the funding and building of business and technology architectures to enable efficient, effective, and adaptable operational, tactical and strategic actions.
This course is concerned with the design and governance of organizational data and its use. In this module, students will learn about the roles of database designers and administrators. Along the way, students will learn about the modeling techniques used by database designers to develop organizational databases and the standard language used to interface with databases.
Focus on managing projects, including their implementation within an organization. A project is a complex, non-routine, one-time effort limited by time, budget, resources, and performance specifications designed to meet customer needs. The characteristics make project management a particularly challenging management task. Project management concepts apply to many other types of organizational activities, e.g., managing task forces and committees. Planning, organizing, staffing and controlling projects require traditional management skills, an understanding of quality assurance techniques, and an appreciation of the unique challenges of managing projects.
This course provides an overview of how organizations use information technologies (ITs) and analytical approaches in cybersecurity management. It is designed to prepare students for jobs that require rich understanding of cybersecurity topics, which may span aspects of organization strategies and policies, software and hardware, network, internal control, data management, and operations. Moreover, this course introduces concepts and methods of analytics associated with cybersecurity concerns. Though it does not have pre-requisites, this course assumes and expects familiarity with basic statistics.
Offers detailed discussion and hands-on exploration of technologies used to process, manage and store ‘big data’. The ecosystem of products we will be focusing on surrounds Hadoop, including the Hadoop File System, MapReduce, and others. This course involves many labs and familiarity with SQL is helpful. Programming expertise is not required but optional aterials will be provided.
This course covers data management and presentation appropriate to understanding healthcare data.
This course will adopt a managerial perspective to recognizing the role of Business Intelligence and provide practical hands-on experience. Course sessions will help students understand how organizations could develop strategies to discover patterns in data and use this to compete in the global marketplace.
Programming in languages used for data extraction and preparation of data for data analytics and data mining. Can be repeated with change of content; maximum credit 6 hours.
This course covers key issues and trends of business strategies and technologies associated with Enterprise Resource Planning (ERP) systems.
Students will compare and experience data science tools along with the newer tools and methods of analytics, with the goal of becoming knowledgeable in both sets of tools.
This course will introduce programming concepts used for business data analysis. It is intended to get students comfortable with programming and to give them insight into how data is used in an application.
An in-depth study of enterprise modeling techniques using an industry standard data mining technology suite. Students will develop a conceptual understanding of the major concepts used in data analytics along with in-depth use of corresponding computer software.
Programming in languages used for data extraction and preparation of data for data analytics and data mining. Can be repeated with change of content; maximum credit 6 hours.
This class will introduce students to concepts relating to a data warehouse (DW), considered a core component of business intelligence and data analytics in an organization. Students will learn to use current tools to develop requirements and create and maintain a DW. Students will also learn to manipulate data in the DW to extract and generate analytical reports for employees.
Introduce students to analytic and visualization techniques required for processing social and social media data.
Digital innovation, enabled by various information and communication technologies, is quickly changing the world around us. This course will provide an understanding of digital innovation-enabled transformations in the business environment, and how individuals and teams leverage such innovations to create value and gain competitive advantage for organizations.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Read More
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Read More
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Read More
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
1 Global State of Enterprise Analytics, 2018.” Forbes. Accessed December 8, 2021 (forbes.com)
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