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Combined Business Analytics Degrees
B.B.A. and M.S.
Program type:
Major
Grad Track
Format:
On Campus
Est. time to complete:
5-6 years
Credit Hours:
156
Learn the science of decision-making in a Business Analytics program that prepares
you to become a leader of data-driven decision-making in organizations.
Our STEM-designated degree programs provide you with an understanding of business
fundamentals and the in-depth knowledge of statistical analysis and modeling methods,
tools and techniques to help convert data into actionable insights. The Master of
Science in Business Analytics is designed to provide an appropriate base of knowledge
for entry into the data science, business analytics, data engineering or business
intelligence fields.
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Request More InfoWhy Earn Combined Business Analytics Degrees?
You will become familiar with a variety of business analytics tools and software packages. You'll also learn about applications of business analytics in specific fields, such as logistics, marketing or business computer information systems by taking supporting courses in the corresponding areas.
Our master’s program in Business Analytics provides a sound business foundation, built on core business principals, effective communication and leadership. We offer courses on data management and data modeling, which prepare our graduates for a workplace seeking business professionals capable of enabling data-driven decision making.
Benefits of Grad Track
- Earn your M.S. in less time
- Cut expenses as you will be charged undergraduate tuition rates
- Prepares you for the rigors of graduate-level coursework while still an undergraduate
- Provides uninterrupted continuity of the knowledge gained as an undergraduate to graduate-level courses
Marketable Skills
- Teamwork
- Oral and written communication
- Ethical business and analytics application
- Mathematical modeling tool competence
- Assist with business problem analysis/resolution
- Simulation/mathematical models development
- Use analytics to solve business problems
- Digital data sources access/analysis
- Mathematical estimation, inference and forecasting
Combined Business Analytics Degrees Highlights
The Department of Information Technology and Decision Sciences offers regularly scheduled
tutoring sessions during the fall and spring semesters to ensure your academic success.
Networking opportunities are available through the student chapter of the Institute
for Operations Research and the Management Sciences (INFORMS), the Association for
Information Systems student chapter and the Professional Leadership Program.
UNT’s location opens up a wealth of career, networking and internship opportunities.
UNT is nestled in the Dallas-Fort Worth area, home to the nation’s fourth largest
concentration of Fortune 500 companies.
More than 700 companies have offered paid internships over the past three years to
UNT business students.
Corporate and academic partnerships with companies like Fidelity Investments, CitiBank,
PepsiCo, StateFarm, Dell, Google Cloud and more.
Our faculty members are outstanding teachers and renowned researchers who are recognized
as thought leaders in the field of business analytics, and their scholarly works have
been published in respected journals such as Manufacturing and Service Operations Management, Production and Operations Management, Decision Sciences, The American Statistician and Communications in Statistics.
What Can You do With Combined Business Analytics Degrees?
Career Outcomes
- Business Intelligence Specialist
- Data Analyst
- Data Engineer
- Data Scientist
- 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.
Combined Business Analytics Degrees Courses You Could Take
Introduction to Data Mining (3 hrs)
Knowledge discovery in large databases, using data mining tools and techniques. Topics
include data exploration, modeling and model evaluation. Decision making in a case-embedded
business environment is emphasized.
Analytics for Decision Making (3 hrs)
Study of the analytics that underlie the process of decision making and the information
requirements of decisions; decision support tool selection, process improvement and
applications development.
Model-Based Business Intelligence (3 hrs)
Explains how model-based business intelligence systems aid managerial decision processes.
Attention is paid to how and why such models are used in a business intelligence systems
environment.
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.
Artificial Intelligence in Business (3 hrs)
Offers an integrated perspective on the opportunities and challenges associated with
the introduction of artificial intelligence (AI) and machine learning capabilities
into business computer information systems.
Modeling for Business Intelligence (3 hrs)
How modeling for business intelligence systems can be utilized as a key element within
a managerial decision process. Attention is paid to how and why such a model is used
in a BI support system environment.
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