The objective of this master’s program is to promote leaders with great expertise in fields such as data modeling and quantitative analysis that can be applied to a wide range of business challenges related to fiscal performance and management.
Students will be able to develop the right skills to master the data analysis process and learn how to make use of valuable information in order to solve complex business problems. Students will enhance critical thinking skills and develop business intelligence and analytics strategies to be successful leaders in this promising field.
Within the first 3 semesters, students will develop their knowledge and skills in statistics, corporate finance, English, Information technology, Financial markets, Finance, data mining and analysis, and computer science.
In the last semester, students will write a dissertation on a Finance and business Analytics topic, in consultation with the Course Director and a member of staff designated as dissertation supervisor.
By the end of the Finance and Business Analytics program, you will be able to:
Recognize, understand and apply the language, theory, and models of the field of Business Analytics.
Critically analyze, synthesize and solve complex unstructured business problems.
Master the quantitative and qualitative aspects of finance—valuation techniques, forecasting methods, application of time value of money
Translate big data into recommendations for profitable actions
Create viable solutions to decision making problems.
Data Scientist.
Business Analyst.
Business Translator.
Data Engineer.
Advanced Analytical Consultant.
Financial Analyst.
Portfolio manager.
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 $ 7,000 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 | 21H |
FIN 660 | Corporate communication | 21 H |
MGT 760 | Social entrepreneurship | 21 H |
LNT 700 | Law and New Technologies | 21 H |
MGT 760 | Artificial intelligence | 21 H |
MGT 760 | Big data Analytics/td> | 21 H |
Code | Course Title | Number of Hours |
---|---|---|
ACF 725 | Predective analytics | 63 H |
ERE 795 | Optimization and decision support system | 42 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 | Course 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 |
Dissertation |
---|