The mission of the Master of Business Analytics & AI (MANA) program is to prepare graduates to lead data-driven decision making in an increasingly complex, technology-enabled business environment. Through a rigorous curriculum grounded in strong intellectual and ethical standards, and through close interaction among faculty, students, and industry partners, the program develops the analytical, technical, and strategic capabilities required to transform data into actionable business insights.

The MANA program equips students with expertise in business analytics, artificial intelligence, strategic analysis and planning, risk management, and problem solving. Emphasizing experiential learning, the program integrates hands-on projects and real-world applications that reflect current and emerging analytics technologies used in industry. Course content is informed by ongoing engagement with industry to ensure relevance to evolving employer needs.

Students may tailor their degree to specific career objectives through specializations in accounting and finance, energy, or marketing and management. Graduates of the program are prepared for analytics-focused roles across a wide range of industries and are expected not only to contribute meaningfully to organizational decision making, but also to uphold the highest standards of academic integrity and professional conduct.

The specialized MANA curriculum requires 30 credit hours of academic work and can be completed in two or three semesters. A 4+1 program option is available for Tulane undergraduate students.

Co-requisites

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

  1. MGSC 6020 Business Stats and Models (3 c.h.)
  2.MGSC 7320 Advanced Spreadsheet Modeling (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 6020 Business Stats and Models (3 c.h.):
   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.

Students may complete the co-requisite courses by taking the aforementioned courses at Tulane prior to MANA matriculation or by taking equivalent courses prior to MANA matriculation in an undergraduate or graduate program at a school accredited by The Association to Advance Collegiate Schools of Business (AACSB), the EFMD Quality Improvement System (EQUIS), or the Association of MBAs (AMBA). The language of instruction for the co-requisite course must be English. If the co-requisite is met with a non-Tulane course or an undergraduate Tulane course, the student must earn a grade of B or better in the co-requisite course to avoid taking the aforementioned graduate-level Tulane course. 

Curriculum

The Master of Business Analytics & AI curriculum, developed by faculty and industry experts, addresses the technical demands of the analytics job market. It emphasizes advanced skills in data analysis, machine learning, artificial intelligence, 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. Students interact with industry professionals through a practicum and a semester-long capstone project, solving a current business problem for a local organization, ensuring they graduate with both technical expertise and strong communication skills.

Degree Requirements

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

 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. Students should plan in advance and work closely with their academic advisor to ensure they meet the prerequisites/co-requisites for their chosen courses, as different electives and specializations have varying requirements.

Accounting and Finance Analytics

¹

Must take at least one accounting course and at least one finance course. 

Energy Analytics

Marketing and Management Analytics

¹

Must take at least one marketing course and at least one management course.

Recommended Electives

These electives are highly recommended because they strengthen students' practical understanding of concepts, emerging trends and applications in business analytics; however, they are not applied toward any specialization requirements. 

MGSC 7650 Applied Machine Learning and AI (3 c.h.)

MGSC 7530 Advanced Data Management (3 c.h.)

4+1 Program 

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For more information, contact the A. B. Freeman School of Business