MBA in Finance and Business Analytics - AUNA
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MBA in Finance and Business Analytics

MBA in Finance and Business Analytics(MASTER PROFESSIONNEL)

Program Overview

The program allows students to master the techniques and processes involved in the collection and examinaion of data using powerful techniques and tools, typically beyond those of traditional Business intelligence. It enables students to discover deep insights that allow for the identification of business-improving and value-generating actions by leveraging predictive and prescriptive analytics.
Program Objectives

Upon successful completion of program, students will be able to:
-Be proficient in applying financial tools and analytical methods to improve financial decision-making.
-Quantify the relation between risk and return and apply it in value-maximizing financial activities of individuals and corporations.
-Identify and describe complex business problems in terms of analytical models.
-Effectively communicate and justify, in both written and oral form, results and recommendations of financial analysis.

Career Opportunities:

With the MBA in Finance and Business Analytics, students can apply for positions such as:

  • Management Analyst/Consultant.
  • Data Scientist.
  • Big Data Analytics Specialist.
  • Research Analyst.
  • Manager of Services or Manufacturing Operations.
  • Data Analyst.

Admission Requirements

This program is designed for newly graduated students and experienced professionals. Admission to Finance and Business Analytics MBA is granted on a selective basis to students or professionals who have demonstrated distinct academic ability and motivation by meeting at least the minimum requirements described below: .

  • A License or a Bachelor’s degree from an accredited college or university, with a GPA of 3.00 on 4 point scale or 13 on 20 point scale or higher in your most recent 60 semester hours of college work.
  • Two years of evident professional experience are preferred.
  • Satisfactory score in GMAT Test*.
    (Note:*GMAT requirement may be waived for those who have received graduate degree, or undergraduate degree with high GPA with evident professional experience in the field of insurance).
  • As all our programs are conducted in english.An upper intermediate level of proficiency is required.Students must take AUNA'S english placement test before final admission.


The Tuition is charged in a flat-fee structure, fixed for one year of study.

Tunisian Students

Registration Fee: TND 1,000 the first year.

Tuition: TND 10,000 per year.

International Students

Registration Fee: United States $ 1,000 the first year.

Tuition: United States $ 7,000 per year.

Payment Details

Bank Account Holder: American University in North of Africa.

Bank Name and Address: Attijari Bank, Agence El Manar, Tunis.

Account Number: TN59 04 106 058 0036089761 08.


Students can apply for a bank loan or a merit scholarship.

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Course Description

Semestre 1
Code Course Title Number of Hours
ACC 600 Business Statistics 42 H
DRT 650 Data Mining 42 H
DRT 655 Financial engineering 42 H
GES 600 Asset liabilities management 42 H
GES 605 Databases organization 42 H
ENG 701 Data management for business intelligence 42 H
FIN 650 Business English level1 21 H
FIN 660 Corporate communication 21 H
MGT 760 Social entrepreneurship 21 H
 LNT 700 Law and New Technologies 21 H
MGT760 Artificial intelligence 21 H
MGT760 Big data Analytics 21 H
Semestre 2
Code  cours Title Number of Hours
ACF 725 Predective analytics 63 H
CEF 780 Financial derivative and risk Management 42 H
DRT 790 Advanced Portofolio Management 21 H
ERE 795 Knowledge Management System 42 H
CCA 796 Analysis of Strategic Business Decision Models 42 H
FII 763 Business English level 2 21 H
CCF 797 International communication 21 H
FIN 765 Cultural diversity 21 H
SDL 767 Strategic and prospective planning 21 H
RDF 801 Prospectives workshop 21 H
Semestre 3
Code Cours Title Number of Hours
ACC 801 Finance with big data 42 H
ACC 701 behavioural finance 42 H
DRF 700 Advanced Stochastic Processes 42 H
DRT 750 Data visualization 42 H
DRT 775 Python for dataScience 42 H
FIN 700 Machine learning 42 H
Fin 750 Business English level 3 21 H
DRT 780 Software business Plan 21 H
SIN 700 Career Coaching 21 H
MGT 700 Natural language processing 21 H
ENG 700 Web Analytics and traffic management 21 H
ENG 700 TextMining 21 H
Semestre 4