American University of Armenia

What you'll study

The certificate combines foundational mathematics and statistics with hands-on programming and applied analytics. All courses are scheduled during evening hours and include lab sessions for applied work.

• MSMA 300 Quantitative Tools for Management (4 credits) — intensive introduction to math and statistics for decision-making plus practical work in MS Excel and Python (pandas, numpy, matplotlib, statsmodels); topics include optimization, financial mathematics, probability and inferential statistics.
• MSMA 325 Business Analytics (3 credits) — supervised learning (regression and classification), model evaluation, and applying models across business domains (marketing, operations, HR, finance); course ends with a project using a real dataset.
• MSMA 329 Data Management (3 credits) — data manipulation, web scraping, SQL, visualization (Matplotlib, Seaborn, Plotly), dashboards (Streamlit, Power BI, Tableau) and proficiency in coding with pandas and numpy.
• MSMA 328 Advanced Topics in Data Analysis (3 credits) — builds on prior courses to cover trend extraction, clustering, state-of-the-art NLP techniques, advanced modeling methods (sampling strategies, model interpretation) and a comprehensive applied project.

Entry requirements

Applicants must submit an online application via AUA Jenzabar SONIS and provide required supporting documents. English proficiency demonstrated by TOEFL iBT (minimum 79) or IELTS Academic (minimum 6.5) is required unless waived for native or near-native speakers. A valid GRE or GMAT score is requested, with a recommended quantitative score at or above the 50th percentile; scores must be no older than five years. Candidates with an appropriate academic background may be eligible for a GRE/GMAT waiver. Applicants without GRE/GMAT scores may take the AUA Internal Assessment; admissions preference is given to those who submit official GRE/GMAT scores. A bachelor’s degree from an accredited institution is required; students in their final undergraduate year may also apply.

Career prospects

Graduates will gain applied skills to work with real-world datasets and standard analytical tools (Python, SQL, Power BI), enabling them to apply statistical, machine learning and AI techniques, design data-driven studies, and communicate insights. The curriculum is geared toward those seeking to perform practical data analysis and support data-informed decision making in organizations.

Scholarships & funding angle

The program page does not list specific scholarships. Prospective applicants should consult the AUA Admissions and Financial Aid pages for current scholarship opportunities, eligibility criteria and application procedures.