Bachelor of Science in Business Administration in Business Analytics and Master of Science in Business Analytics
The dual BSBA and Master of Science in Analytics program is designed in such a way that students can expect to complete both their Bachelor's and Master's degree within four and a half years. This accelerated program is designed to assist highly-motivated undergraduate students seeking an efficient path and an expedient start to their professional careers without sacrificing quality of education.
Students enroll in up to twelve credits of graduate work in their senior year.* Then, at least twenty credits of graduate work is completed in the fall semester after the senior year.
*Students in this program will only be permitted to take graduate classes if they are within 30 credits of completing the baccalaureate degree and have a minimum GPA of 3.0.
Admission Requirements
To qualify for admission to the BBA/BSBA-MSBA programs, a student must:
- Be within 30 credits of completing the baccalaureate degree with a cumulative grade point average of 3.0 or higher.
Requirements for Admission
- Completed application for admission submitted through BusinessCAS
- Academic transcript(s)
- An unofficial copy of your current transcript must be uploaded with your online application.
- Request official evaluations of transcripts from all previously attended non-U.S. institutions to be sent to BusinessCAS.
- Statement of purpose and short-essay responses to the career goal and program-related questions in BusinessCAS
- A current resume
- At least one letter of recommendation (up to three allowed) may be submitted through the BusinessCAS portal by including recommender contacts within the Program Materials section of the application.
QUESTIONS?
Connect with Miami Herbert Business School’s graduate enrollment advisors at (305) 284-2510 or by email at mba@miami.edu
Curriculum Requirements
For students who earn an A- or better in MAS 311, 332, and 342
| Code | Title | Credit Hours |
|---|---|---|
| BSBA IN BUSINESS ANALYTICS | 120 | |
| Refer to the link below for more information on the BSBA requirements. | ||
| MS IN BUSINESS ANALYTICS (32 CREDIT HOURS) | ||
| Required Courses | ||
| BUS 610 | Communicating for Career Success | 2 |
| MAS 637 | Applied Regression Analysis I | 2 |
| MAS 639 | Data Acquisition and Preparation | 2 |
| MAS 640 | Applied Time Series Analysis and Forecasting | 2 |
| MAS 646 | Applied Regression Analysis II | 2 |
| MAS 648 | Machine Learning for Data Analytics I 7 | 2 |
| MAS 649 | Big Data Analytics | 2 |
| MAS 650 | Business Analytics Internship 1 | 2 |
| MAS 651 | Machine Learning for Data Analytics II | 2 |
| Additional Required Courses | ||
| Electives 2 | 14 | |
| Total Credit Hours | 152 | |
For students who do not earn an A- or better in MAS 311, 332, and 432
| Code | Title | Credit Hours |
|---|---|---|
| BSBA IN BUSINESS ANALYTICS | 120 | |
| Refer to the link below for more information on the BSBA requirements. | ||
| MS IN BUSINESS ANALYTICS (32 CREDIT HOURS) | ||
| Required Courses 2 | ||
| BUS 610 | Communicating for Career Success | 2 |
| MAS 627 | Programming for Data Analytics 3 | 2 |
| MAS 631 | Statistics for Managerial Decision Making 4 | 2 |
| MAS 632 | Management Science Models for Decision Making 5 | 2 |
| MAS 637 | Applied Regression Analysis I 6 | 2 |
| MAS 639 | Data Acquisition and Preparation | 2 |
| MAS 640 | Applied Time Series Analysis and Forecasting | 2 |
| MAS 646 | Applied Regression Analysis II | 2 |
| MAS 648 | Machine Learning for Data Analytics I 7 | 2 |
| MAS 649 | Big Data Analytics | 2 |
| MAS 650 | Business Analytics Internship 1 | 2 |
| MAS 651 | Machine Learning for Data Analytics II | 2 |
| Additional Required Courses | ||
| Electives 2 | 8 | |
| Total Credit Hours | 152 | |
- 1
Students may take MAS 652 Capstone Project as a replacement of MAS 650 Management Science Internship if an internship cannot be obtained.
- 2
Electives are based on class demand.
- 3
MAS 627 is replaced with MAS 691 or BTE 601 for students who received an A- or better in MAS 332.
- 4
MAS 631 is replaced with an approved elective for students who received an A- or better in MAS 311.
- 5
MAS 632 is replaced with an approved elective for students who received an A- or better in MAS 342.
- 6
MAS 637 is replaced with MAS 681 for students who received an A- or better in MAS 432.
- 7
MAS 648 is replaced with an approved elective if students take MAS 681.
Sample Plan of Study
For students who earn an A- or better in MAS 311, 332, and 342
| Freshman Year | ||
|---|---|---|
| Fall | Credit Hours | |
| ECO 211 | Principles of Microeconomics | 3 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| MTH 161 | Calculus I | 4 |
| WRS 105 | First-Year Writing I | 3 |
| UMX 100 | The University of Miami Experience | 0 |
| Credit Hours | 16 | |
| Spring | ||
| BUS 150 | Business Analytics | 3 |
| ECO 212 | Principles of Macroeconomics | 3 |
| MTH 162 | Calculus II | 4 |
| WRS 106 or ENG 106 | First-Year Writing II or Writing About Literature and Culture | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 16 | |
| Sophomore Year | ||
| Fall | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| MAS 311 | Applied Probability and Statistics | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| ACC 212 | Managerial Accounting | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MAS 312 | Statistical Methods and Quality Control | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Junior Year | ||
| Fall | ||
| MAS 332 | Data Acquisition, Preparation and Visualization | 3 |
| MAS 342 | Introduction to Optimization and Decision Making | 3 |
| MGT 304 | Organizational Behavior | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 4 | |
| Credit Hours | 16 | |
| Spring | ||
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| MAS 432 | Data Analysis | 3 |
| MAS 442 | Stochastic Models in Operations Research | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 18 | |
| Senior Year | ||
| Fall | ||
| MGT 303 | Operations Management | 3 |
| Business Analytics Major Choice | 3 | |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| MAS 637 | Applied Regression Analysis I | 2 |
| MAS 639 | Data Acquisition and Preparation | 2 |
| MAS 648 | Machine Learning for Data Analytics I | 2 |
| Credit Hours | 18 | |
| Spring | ||
| MGT 401 | Strategic Management | 3 |
| Business Analytics Major Choice | 3 | |
| Quantitative Choice Course | 3 | |
| Elective | 3 | |
| MAS 640 | Applied Time Series Analysis and Forecasting | 2 |
| MAS 649 | Big Data Analytics | 2 |
| MAS 651 | Machine Learning for Data Analytics II | 2 |
| Credit Hours | 18 | |
| Year One | ||
| Fall | ||
| BUS 610 | Communicating for Career Success | 2 |
| MAS 646 | Applied Regression Analysis II | 2 |
| MAS 650 | Business Analytics Internship | 2 |
| Electives | 14 | |
| Credit Hours | 20 | |
| Total Credit Hours | 152 | |
Sample Plan of Study
For students who do not earn an A- or better in MAS 311, 332, and 432
| Freshman Year | ||
|---|---|---|
| Fall | Credit Hours | |
| ECO 211 | Principles of Microeconomics | 3 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| MTH 161 | Calculus I | 4 |
| WRS 105 | First-Year Writing I | 3 |
| UMX 100 | The University of Miami Experience | 0 |
| Credit Hours | 16 | |
| Spring | ||
| BUS 150 | Business Analytics | 3 |
| ECO 212 | Principles of Macroeconomics | 3 |
| MTH 162 | Calculus II | 4 |
| WRS 106 or ENG 106 | First-Year Writing II or Writing About Literature and Culture | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 16 | |
| Sophomore Year | ||
| Fall | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| MAS 311 | Applied Probability and Statistics | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| ACC 212 | Managerial Accounting | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MAS 312 | Statistical Methods and Quality Control | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Junior Year | ||
| Fall | ||
| MAS 332 | Data Acquisition, Preparation and Visualization | 3 |
| MAS 342 | Introduction to Optimization and Decision Making | 3 |
| MGT 304 | Organizational Behavior | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 4 | |
| Credit Hours | 16 | |
| Spring | ||
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| MAS 432 | Data Analysis | 3 |
| MAS 442 | Stochastic Models in Operations Research | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 18 | |
| Senior Year | ||
| Fall | ||
| MGT 303 | Operations Management | 3 |
| Business Analytics Major Choice | 3 | |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| MAS 631 | Statistics for Managerial Decision Making | 2 |
| MAS 637 | Applied Regression Analysis I | 2 |
| MAS 648 | Machine Learning for Data Analytics I | 2 |
| Credit Hours | 18 | |
| Spring | ||
| MGT 401 | Strategic Management | 3 |
| Business Analytics Major Choice | 3 | |
| Quantitative Choice Course | 3 | |
| Elective | 3 | |
| MAS 640 | Applied Time Series Analysis and Forecasting | 2 |
| MAS 649 | Big Data Analytics | 2 |
| MAS 651 | Machine Learning for Data Analytics II | 2 |
| Credit Hours | 18 | |
| Year One | ||
| Fall | ||
| MAS 627 | Programming for Data Analytics | 2 |
| MAS 639 | Data Acquisition and Preparation | 2 |
| MAS 646 | Applied Regression Analysis II | 2 |
| MAS 650 | Business Analytics Internship | 2 |
| BUS 610 | Communicating for Career Success | 2 |
| Electives | 10 | |
| Credit Hours | 20 | |
| Total Credit Hours | 152 | |
