Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Data Analysis | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
About Program

Program Overview


Business Analytics, MAN

The Master of Business Analytics (MANA) program is designed to prepare graduates for careers that involve managing and making data-driven decisions. Through rigorous intellectual and ethical standards and close interaction among faculty and students, the program aims to develop specialized expertise necessary for navigating the subtleties and interdependencies of various markets and organizations.


Mission

The mission of the Master of Business Analytics program is to prepare its graduates for careers that allow them to manage and make data-driven decisions. The program aims to develop the specialized expertise necessary to negotiate the subtleties and interdependencies of various markets and organizations in both research and decision-making capacities.


Co-requisites

The following courses are co-requisites for the MANA program:


  1. MGSC 7320 Advanced Spreadsheet Modeling (3 c.h.)
  2. MGSC 7330 Business Statistics and Modeling with R (3 c.h.)

Tulane undergraduates can meet the co-requisites by earning a grade of B or better in the following undergraduate Tulane courses:


  1. For MGSC 7320 Advanced Spreadsheet Modeling: MGSC 3010 Introduction to Business Analytics (3 c.h.)
  2. For MGSC 7330 Business Statistics and Modeling with R: MATH 1110 Probability & Statistics I (3 c.h.), MATH 1230 Statistics For Scientists, MATH 3070 Intro To Probability (3 c.h.), MATH 3080 Intro to Statistical Inference (3 c.h.), or any other statistics course with topics: probability, statistical inference, and regression.

Curriculum

The Master of Business Analytics curriculum addresses the technical demands of the analytics job market, emphasizing advanced skills in data analysis, machine learning, business intelligence, and effective business communication. With an industry-focused, experiential learning approach, students work with real-world datasets, applying cutting-edge techniques in collaboration with companies.


Degree Requirements

The Master of Business Analytics (MANA) program requires completion of 30 credit hours with the following degree requirements:


  • CDMA 6030 Advanced Career Development and Management (0 c.h.)
  • MGSC 7000 Bus Analytics Practicum (3 c.h.)
  • MGSC 7100 SQL Database Fundamentals and Business Intelligence (3 c.h.)
  • MGSC 7310 Modeling and Analytics (3 c.h.)
  • MGSC 7340 Web Analytics (3 c.h.)
  • MGSC 7520 Advanced Modeling and Analytics (3 c.h.)
  • MGSC 7870 Business Analytics Projects (3 c.h.)
  • Four advisor-approved electives (12 c.h.)

Specializations

MANA students have the option of completing a specialization within the program that allows for in-depth study in a particular business area of interest. All specializations require 9 credit hours. A student cannot count the same course for multiple specializations.


Accounting and Finance Analytics

Complete 9 credit hours from the following:


  1. ACCN 6050 Accounting Measurement, Reporting, and Control (3 c.h.)
  2. ACCN 7130 Financial Statement Analysis (3 c.h.)
  3. ACCN 7140 Advanced Managerial Accounting (3 c.h.)
  4. ACCN 7150 Accounting Information Systems (3 c.h.)
  5. ACCN 7270 Advanced Risk Analytics (3 c.h.)
  6. ACCN 7280 Operational Risk Management (3 c.h.)
  7. ACCN 7290 Accounting Analytics (3 c.h.)
  8. FINE 6020 Analysis for Financial Mgmt (3 c.h.)
  9. FINE 7180 Financial Modeling (3 c.h.)
  10. FINE 7510 Econometrics and Forecasting (3 c.h.)
  11. FINE 7650 Fixed Income Analytics & Modeling (3 c.h.)
  12. Other ACCN or FINE 7000-level elective if approved by advisor and instructor (3 c.h.)

Energy Analytics

Complete 9 credit hours from the following:


  1. ENRG 7110 Energy Modeling (3 c.h.)
  2. ENRG 7200 Energy Fundamentals & Trading (3 c.h.)
  3. ENRG 7500 Energy Risk Management (3 c.h.)
  4. Other ENRG 7000-level elective if approved by advisor and instructor (3 c.h.)

Marketing and Management Analytics

Complete 9 credit hours from the following:


  1. MGMT 6030 Strategic Management (3 c.h.)
  2. MGMT 7210 Management of Technology and Innovation (3 c.h.)
  3. MKTG 6020 Marketing (3 c.h.)
  4. MKTG 7250 Social Media and Online Marketing (3 c.h.)
  5. MKTG 7280 Data and Analysis for Marketing Decisions (3 c.h.)
  6. Other MGMT or MKTG 7000-level elective if approved by advisor and instructor (3 c.h.)

4+1 Program

The 4+1 program is available to Tulane students, requiring all participants to meet the MANA program co-requisites before starting the +1 portion of their studies. By incorporating these co-requisite courses, the program leverages the existing accessibility and familiarity that many Tulane and non-Tulane students already have with these foundational subjects.


4+1 students are allowed to apply six graduate-level credits towards both their undergraduate and MANA degrees. They can also take an additional six graduate-level credits during their undergraduate studies, which will count solely toward the MANA degree. Freeman undergraduate students can take the following graduate-level courses as part of their 4+1 program:


  1. MGSC 7000 Bus Analytics Practicum (3 c.h.)
  2. MGSC 7100 SQL Database Fundamentals and Business Intelligence (3 c.h.)
  3. MGSC 7340 Web Analytics (3 c.h.)
  4. Students may choose one of the electives listed below:
  • MGSC 6090 Operations and Supply Chain Management (3 c.h.)
  • MGSC 7320 Advanced Spreadsheet Modeling (3 c.h.)
  • MGSC 7330 Business Statistics and Modeling with R (3 c.h.)
  • FINE 7510 Econometrics and Forecasting (3 c.h.)
  • MKTG 7280 Data and Analysis for Marketing Decisions (3 c.h.)
  • ACCN 7270 Advanced Risk Analytics (3 c.h.)
  • ACCN 7290 Accounting Analytics (3 c.h.)
  • MGMT 7030 Sustainability in a Dynamic Global World (2 c.h.)
  • Or any other graduate-level business course with the approval of the program director.

A typical course plan for a 4+1 MANA student would look like this:


  • Senior Fall Term:
    • MGSC 7000 Bus Analytics Practicum (3 c.h.)
    • MGSC 7100 SQL Database Fundamentals and Business Intelligence (3 c.h.)
    • MGSC 7340 Web Analytics (3 c.h.)
  • Senior Spring Term:
    • An authorized graduate-level business course (3 c.h.)
  • MANA Fall Term:
    • MGSC 7310 Modeling and Analytics (3 c.h.)
    • CDMA 6030 Advanced Career Development and Management (0 c.h.)
    • Authorized Elective (3 c.h.)
    • Authorized Elective (3 c.h.)
  • MANA Spring Term:
    • MGSC 7520 Advanced Modeling and Analytics (3 c.h.)
    • MGSC 7530 Advanced Data Management (3 c.h.)
    • MGSC 7870 Business Analytics Projects (3 c.h.)
    • MGSC 7650 Applied Machine Learning (3 c.h.)

Program String and Field of Study

BSMAN_GR, MANA


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