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Masters

B.S.B.A./M.S. in Business Analytics Dual Degree

University of Miami
Florida , United States
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Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
4.5 years
Details
About Program
About University
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Details
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
About Program

Program Overview

B.S.B.A./M.S. in Business Analytics Dual Degree

The dual BSBA and Master of Science in Analytics program is designed to allow students 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.


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
  • Academic transcript(s)
    • An unofficial copy of the current transcript must be uploaded with the online application.
    • Request official evaluations of transcripts from all previously attended non-U.S. institutions.
  • Statement of purpose and short-essay responses to the career goal and program-related questions
  • A current resume
  • At least one letter of recommendation (up to three allowed)

Curriculum Requirements

For students who earn an A- or better in MAS 311, 332, and 342

  • Course List 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 | 2
      • MAS 649 | Big Data Analytics | 2
      • MAS 650 | Business Analytics Internship | 2
      • MAS 651 | Machine Learning Methods for Artificial Intelligence | 2
    • Additional Required Courses
    • Electives | 14
    • Total Credit Hours | 152

For students who do not earn an A- or better in MAS 311, 332, and 432

  • Course List 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 627 | Programming for Data Analytics | 2
      • MAS 631 | Statistics for Managerial Decision Making | 2
      • MAS 632 | Management Science Models for Decision Making | 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 | 2
      • MAS 649 | Big Data Analytics | 2
      • MAS 650 | Business Analytics Internship | 2
      • MAS 651 | Machine Learning Methods for Artificial Intelligence | 2
    • Additional Required Courses
    • Electives | 8
    • Total Credit Hours | 152

Sample Plan of Study

For students who earn an A- or better in MAS 311, 332, and 342

  • Plan of Study Grid Freshman Year
    • Fall
      • 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 Methods for Artificial Intelligence | 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

For students who do not earn an A- or better in MAS 311, 332, and 432

  • Plan of Study Grid Freshman Year
    • Fall
      • 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 Methods for Artificial Intelligence | 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
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