Master of Science in Business Administration
with a concentration in Business Analytics (MSBA-BA)
Accelerated Undergraduate/Graduate program
Students must be accepted into the program prior to the beginning of the semester in which they would enroll in courses to be used in the accelerated program.
Virginia Tech Accelerated Masters
Admission to the program will be competitive with selection based on leadership and communication skills, motivation, quantitative aptitude, and computing experience. The program will recruit and select students from a wide variety of disciplines and backgrounds. However, successful applicants must possess basic skills in statistics, computer programming and database management. These skills can be documented through testing and/or academic transcripts. It is anticipated that most applicants will be from engineering, computing, science, and business programs.
Deadlines for Summer II admission
Application Deadline for International students is February 1, 2017
Application Deadline for Domestic students is June 1, 2017
The first effective date to declare the major concentration will be July 2016. The first effective date for students to graduate with the major concentration will be July 2017. The 30 hour program will include a 15 hour Business Core (required by the state and university for the M.S. in Business Administration). It will also include a 15 hour Analytics Core, including two courses directly related to the capstone project. In some cases, additional electives may be used to replace courses contained in the business core where competency is proved.
Fundamentals of accounting systems as they relate to decision making. Attention is directed toward accounting for the core of management control and financial reporting systems, and as integrally related to the information system. (3H,3C)
This course describes how to use a collection of quantitative techniques to analyze data and help with managerial decision-making. After understanding how to use Microsoft Excel to formulate, analyze and solve general business problems, students focus on how to construct and use mathematical models along with spreadsheet models based on topics from statistics (i.e., probability theory, statistical inference, and linear regression) and management science (i.e., linear programming).
This course examines the determinants and consequences of human behavior in formal organizations. The specific graduate focus is on understanding the individual, interpersonal, and group processes which underlie all human dynamics.
Overview of business intelligence and analytics technologies and their strategic use including defining/framing the business context for decisions, decision models, data issues, business intelligence, building analytics capability, cloud computing, making organizations smarter, and measuring the value of analytics.
Development of business intelligence and analytics solutions and applications to various types of decision-making problems. Analytics software and techniques. Data preparation, data exploration and visualization, predictive analytics techniques, text analytics, spatial analytics. Prerequisite(s): BIT 5524
Study of the perception and design principles and advanced techniques for information visualization, with an emphasis on the application of visualization software for data exploration and the development of analytical skills for business. Includes hands-on exposure to information visualization and statistical software.
Management and execution of business analytics projects. 5905: Problem and scope definition, identifying objectives, data requirements and preparation, selection of software tools, project planning and administration, leadership and team building, and assessment of project value and effectiveness. Pre: Graduate standing. (3H, 3C). 5906: Integrated application of analytics knowledge, techniques, and tools resulting in the development and delivery of insights, recommendations, and expected outcomes to corporate stakeholders in professional communications, presentations, and reports. Pre: 5905. (3H, 3C).
Substitutions for business core courses may be made with the approval of the department heads or his/her designee if the students provide transcripts that document completed courses have provided an equivalent proficiency.
This course is an introduction to design methodologies in information systems. Structured systems analysis and design methodologies are discussed. An introduction to database design methodologies is also included. Topics related to different database models and their implementation is discussed. Students are also required to design and implement information systems using appropriate computer software. Pre: MBA/MACCT standing.
This course relates database theories and practices to concepts from other areas, such as programming languages, algorithms, data structures, and information systems. The relational, network, and hierarchical models are introduced. A major portion of the course deals with data manipulation languages for the relational model, design theory for relational databases, and query optimization. Prerequisite(s): ACIS 4514 (UG) OR ACIS 4514 OR ACIS 4515 (UG) OR ACIS 4515 OR ACIS 5504
This course explains the characteristics, use, and development of decision support systems (DSS) within the context of other business information systems. The process of designing and implementing decision support systems in business is discussed from both theoretical and practical standpoints. Students will learn various ways of measuring the success of DSS implementation as well as the difficulties associated with all such measures. Students will learn to use common software tools to develop DSS.
Widely used information systems in operation, management, and e-business in hospitality and tourism. Emerging analytics tools for business intelligence and strategic decision-making. Impacts of IT on organizations and the industry as a whole.
Dynamic forecasting of supply and demand, customer relationship management, services production, pricing, promotion, and distribution. Implications for human resources and information systems management. Application and integration of revenue and customer centric management theory.
The course integrates conceptual and quantitative aspects of marketing. Students will learn the role of analytical techniques and computer models in enhancing marketing decisions, and techniques used in identification, assessment, and forecasting market opportunities.
The course encompasses: problem formulation, research design, data gathering instruments, scaling, sampling, data analysis for making marketing-related decisions, and solving marketing-oriented problems.
Concepts in statistical inference, including basic probability, estimation, and test of hypothesis, point and interval estimation and inferences; simple linear regression; one-way analysis of variance and categorical data analysis.
Experimental designs: basic concepts; completely randomized designs; randomized complete block designs; balanced incomplete block designs; Latin square designs; factorial treatment designs; mixed effects designs; split-plot designs. Multiple linear regression: general formulation, estimation and inference, variable selection, and model diagnostics. Pre: 5615: 1 year calculus; 5616: 5615(3H, 3C). 5615: I 5616: II.
Summer 2 Session:
Summer 1 Session:
Representatives of major corporations will serve as corporate advisors for the program. These advisors will provide strategic advice and guidance regarding the program’s learning objectives and curriculum, participate in classes by delivering guest lecturers, and provide capstone analytics consulting projects. Classroom and corporate provided projects will be geared toward business intelligence, business data analysis techniques, business decision-making, and focused on real-world opportunities with the potential for high economic returns and market impacts.
As a company, Altria strives to be as dynamic and versatile as the world in which they operate.
Altria will serve on CBIA’s advisory panel and will provide strategic advice and guidance regarding the MSBA-BA program’s learning objectives and curriculum, participate in classes by providing guest lecturers, sponsor a 10-month, analytics consulting project, and provide important financial support to the program.
Our values as IBMers shape everything we do, every choice we make on behalf of this company. Having a shared set of values helps us make decisions and, in the process, makes our company great. But their real influence occurs when we apply these values to our personal work and our interactions with one another and the wider world. IBMers determined that our actions will be driven by these values:
Hewlett Packard Enterprise is an industry leading technology company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.
Carilion Clinic is a not–for–profit health care organization based in Roanoke, Va. Through their comprehensive network of hospitals, primary and specialty physician practices, and other complementary services, they work together to provide quality care close to home for nearly 1 million Virginians. With an enduring commitment to the health of the region, they also seek to advance care through medical education and research, help their community stay healthy, and inspire the region to grow stronger. They are committed to a common purpose of better patient care, better community health, and lower cost.
The capstone project is the cornerstone activity of the MSBA-BA program. It is essential to the learning that takes place during the intensive year-long curriculum. Students work on interdisciplinary, four-to-five member teams on a corporate project that has significant strategic importance to corporations. Corporations will provide data and a project coordinator. At the end of the project, students will make a formal presentation. This involves preparing a professional consulting report that summarizes and supports their findings and building a business case for their recommendations.
The capstone project allow students to work closely with corporate and faculty mentors, creates an experiential learning opportunity, and connects the classroom to real-world problems and decision-makers. This experience will not only enhance students’ technical skills, but provide business acumen that facilitates execution of those skills.
The circumstances of each student are unique. The MSBA-BA program is designed as a full-time, cohort based program; the course structure along with the required capstone project will involve full-time interaction with corporate sponsors as well as project-based collaboration with classmates. If your circumstances will not permit you to enroll in the program on a full-time basis, please contact the Executive Director, Linda Oldham at firstname.lastname@example.org or Academic Director, Cliff Ragsdale at email@example.com to determine if this program is right for you.
There are some exceptions but students must petition. Petitions must be submitted to Dr. Oldham, Executive Director at firstname.lastname@example.org.
Students will submit an online application through the Virginia Tech Grad School. To get started, click here.
Once admitted into the program, students cannot delay or defer enrollment. If emergency issues or other circumstances arise after being admitted, please contact Dr. Oldham at email@example.com.
Yes, the MSBA-BA program is approved as an accelerated master’s program at Virginia Tech. Undergraduate students must be accepted into the program prior to the beginning of the semester in which they would enroll in courses to be used in the accelerated program. Please review the information at http://graduateschool.vt.edu/applying/accelerated for more details.
The application process includes the following:
After all application material has been reviewed by Executive Director, candidates will be notified within 1-2 weeks of final decision.
Currently, we are accepting applications for the MSBA-BA program until all seats are filled. If you desire admission into the program, get an early start on your application today.
Students should have basic programming skills or a fundamental understanding of programming.
If you have already successfully completed coursework required for the MSBA-BA program, you will not need to retake those courses. Contact Dr. Oldham or Dr. Ragsdale for additional information.
There is a tremendous shortage of people with analytics skills, especially in the area of analytics applications for business strategies. “Forty percent of respondents to a 2015 MIT Sloan Management Review survey say they have difficulty hiring analytical talent. Only 17 percent of “analytically challenged” firms say they have the talent they need.” ( 2015 MIT Sloan Management Review)
Virginia Tech is a leader in engineering, sciences and business and can address these needs by providing graduate students with a working knowledge of business analytics and the opportunity to hone these skills by working on multi-disciplinary project teams. This multi-disciplinary program–coupled with its capstone project in business analytics —will give students the preparation to operate in a managerial, data-centric, and technological environment.
Program tuition and fees 2016 – 2017:
Tuition and fees for the 30 credit hour program is approximately $19,368, plus a $4,875 supplemental fee for in state students. The tuition and fees for out-of-state students is approximately $37,112, plus a $4,875 supplemental fee. Most students who receive graduate assistantships will receive a tuition and fee scholarship in portion to the percentage of their assistantship. Out-of-State students who receive a graduate assistantship will receive a waiver for the out-of-state portion of their tuition for the year. See graduateschool.vt.edu for details.
Undergraduate students with at least a 3.3 GPA may apply for accelerated admission to the MSBA-BA program. If admitted, this allows a student to take up to 12 graduate hours during the last two semesters of their undergraduate studies. With the approval of the student’s undergraduate department, some or all of these 12 graduate hours may apply to both their undergraduate degree and the MSBA-BA degree. Please contact the Executive Director, Linda Oldham at firstname.lastname@example.org or Academic Director, Cliff Ragsdale at email@example.com to determine if this program is right for you.