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Business Analytics M.B.A.
Master of Business Administration (M.B.A.)
Program type:
Major
Format:
On Campus
Est. time to complete:
1-2 years
Credit Hours:
36
Call the shots. Earn a STEM M.B.A. that prepares you for data-based decision-making.
The Master of Business Administration in Business Analytics is a STEM program designed
to provide an extensive base of knowledge for data-based decision making. This STEM-approved
program is intended for those students who desire to get into management roles where
data-based decision making is required.
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Request More InfoWhy Earn a Business Analytics M.B.A.?
The M.B.A. in Business Analytics offered at the University of North Texas is designed to provide an extensive base of knowledge of managerial responsibilities. Our M.B.A. program is also designed for those who desire a more general management background rather than a specialized focus in the field.
You can complete this program at our main Denton campus or our Frisco campus, where you can take face-to-face classes or a blend of online and face-to-face courses.
Marketable Skills
- Effective business collaboration
- Organizational improvement with quantitative methods
- Creation of business models/simulations
- Creation/usage of complex data structures
- Analytical estimate and forecast facilitation
Business Analytics M.B.A. Highlights
More than 700 companies have offered paid internships over the past three years to
UNT business students.
Allows for up to 12-month CPT and 36-month OPT.
Corporate and academic partnerships with companies like Fidelity Investments, CitiBank,
PepsiCo, State Farm, Dell, Google Cloud and more.
If you’re a new first-year incoming M.B.A. student, you can apply for the Josephine Hughes Sterling Endowed Scholarship for M.B.A. students and the John and
Helen Green Scholarship for M.B.A. recruitment.
UNT’s location opens up a wealth of career, networking and internship opportunities.
UNT is 40 miles north of the Dallas-Fort Worth area, home to the nation’s fourth largest
concentration of Fortune 500 companies.
What Can You do With a Business Analytics M.B.A.?
Career Outcomes
- Pricing Analyst
- Revenue Management Analyst
- Analytics or Business Manager/Director
- Financial Analyst
- Predictive Analyst
- and many more...
Big name companies that hire our graduates, include:
- Texas Instruments
- Toyota
- PepsiCo
- Hitachi
- IBM
Average Salary
- $86,000*
* Average ITDS Graduate student salary reported within 90 days of graduation.
Business Analytics M.B.A. Courses You Could Take
Organizational Behavior and Analysis (3 hrs)
Research emphasis in organizational behavior stressing organization-people linkages
and interrelationships, including selection, orientation and training, job design
and reward systems, supervision, formal participation schemes, appraisals and development,
organizational structure and design, communications, control and conflict resolution.
Data Mining and Machine Learning for Business (3 hrs)
A survey of data mining techniques and software is presented including machine learning
tools. Topics include extracting information from large databases and designing data-based
decision support systems.
Enterprise Applications of Business Intelligence (3 hrs)
Discusses current issues in the utilization of business intelligence (BI) in business,
government, academia and innovation. Topics include the concepts, methodologies and
tools to efficiently and effectively implement business intelligence endeavors.
Predictive Analytics and Business Forecasting (3 hrs)
Covers major topics used in developing predictive modeling and applied statistical
forecasting models that are of major interest to business, government and academia.
These include exploring the calibration of models, the estimation of seasonal indices
and the selection of variables to generate operational business forecasts.
Big Data Analytics (3 hrs)
Covers current issues in storage, retrieval, and analysis of large volumes of data
(Big Data), in order to support business decisions. Big Data are stored in a variety
of formats, including Web log, Internet clickstream data, as well as unstructured
data, such as industry reports and customer comments.
Introduction to the Business Decision Process (3 hrs)
Emphasis on model assumptions, applying the correct statistical model and interpreting
the results. Topics include simple regression, multiple regression (e.g., qualitative
variable coding, model building), experimental design (e.g., completely randomized
design and randomized block design) and multi-factor designs.
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