MBA in Finance and Business Analytics(MASTERE PROFESSIONNEL)Program Overview
The program allooxs 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.
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.
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.
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.
Registration Fee: TND 1,000 the first year.
Tuition: TND 10,000 per year.
Registration Fee: United States $ 1,000 the first year.
Tuition: United States $ 10,000 per year.
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.
Code Bic/SWIFT : BSTUTNTT
Students can apply for a bank loan or a merit scholarship.
|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|
|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|
|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|