Master’s in Business Analytics
Tuesday, Wednesday & Thursday 18h30 to 21h30, Saturday 08h30 to 13h00.
Total Cost: $8800
Registration: $800
Tuition fees: $8000
The Master's in Business Analytics at Universidad San Francisco de Quito (USFQ) is designed to train professionals capable of transforming data into strategic decisions that drive competitiveness, efficiency, and innovation in organizations across any sector. This multidisciplinary program combines data analytics with business strategy, preparing students to play a key role as "data translators" between technical and business areas.
The curriculum provides solid training in the three pillars of analytics: descriptive (what happened and why?), predictive (what will happen and when?), and prescriptive (what is the best course of action to take?). These foundations are complemented by modern software tools, applied artificial intelligence, big data, and advanced visualization, always from a business perspective. The program emphasizes how data can become a strategic asset, generating tangible value, information monetization, and sustainable competitive advantages.
The hybrid approach offers flexibility and interactive learning, combining in-person, virtual, and asynchronous classes, tailored to the needs of practicing professionals. Furthermore, the program is aligned with current trends in digital transformation, the data economy, and evidence-based decision-making, ensuring that graduates are prepared to lead in a dynamic global marketplace.
Candidate Profile
The program is aimed at professionals from any discipline who wish to strengthen their skills in the strategic use of data for decision-making and organizational problem-solving. It is open to applicants with a third level degree, registered with SENESCYT, in fields such as:
- Business administration, economics, and finance.
- Engineering and information technology.
- Mathematics, statistics, and applied sciences.
- Other areas related to management, processes, and data analysis.
Professionals from other fields who are interested and motivated to delve into business and data analytics & intelligence applied to business are also welcome to apply.
Applicants must possess:
- Analytical thinking and problem-solving skills.
- Interest in digital transformation and business innovation.
- Motivation to lead projects that integrate technology and strategy.
A minimum level of English A2 is required to fully benefit from the academic experience.
Advantages
- Multidisciplinary approach: Integrates technical foundations in analytics with a strategic business vision.
- Academic prestige: USFQ is positioned as one of the best universities in Latin America, and #1 in Ecuador, recognized for its international rankings and innovative approach.
- Hybrid modality: Flexibility to combine in-person, virtual, and asynchronous learning, adapting to active professionals.
- Constantly updated: Content aligned with global trends in artificial intelligence, machine learning, big data, and business intelligence.
- Practical application: Projects and real-life case studies in companies, preparing students to generate immediate impact in the labor market.
- International faculty and experts: Access to knowledge from industry leaders and world-renowned academics.
- Global alumni network: Be part of a community of distinguished alumni, with access to professional opportunities and strategic connections around the world.
- Ethics and responsibility: Training in governance and responsible use of data, with an impact on society and organizations.
- Cutting-edge technology: Practical use of tools such as PowerBI, Python, SQL and other applications & tools relevant to business analytics.
Career Opportunities
Graduates of the Master's in Business Analytics will be prepared to work in leadership and analytical management positions in various sectors: finance, retail, telecommunications, healthcare, manufacturing, education, energy, and consulting, among others.
They will be able to occupy roles such as:
- Business Analyst.
- Data Analyst.
- Business Intelligence Specialist.
- Analytics Project Leader.
- Data Strategy Consultant.
- Digital Transformation Analyst.
- Marketing and Customer Behavior Analyst.
- Analytics Consultant.
- Human Talent Analytics Specialist.
- Data and Process Coordinator.
Graduates will also be equipped to undertake their own data-driven projects or join multinational companies, innovative startups, and international organizations seeking business analytics professionals.
Financing and Scholarships
USFQ Alumni receive a 10% discount.
Payments can be made with credit or debit cards through our:
- We accept all national and international cards.
- You can defer your payments with cards issued by: Diners Club, Banco Guayaquil, Banco Pichincha, Banco Bolivariano, Banco Produbanco, and Banco del Austro.
- For semester or academic period payments, you can defer up to 12 months without interest. Check with the graduate program for the established dates.
- For yearly payments, you can defer up to 24 months without interest.
- For full payments, you can defer up to twice the duration of the graduate program without interest (Example: Program duration: 18 months. Full payments up to 36 months without interest).
Payments by transfer or deposit can be made to the following details:
- Account Holder: Universidad San Francisco de Quito USFQ.
- RUC: 1791836154001
- Banco Pichincha: Checking Account No. 3407330004
- Banco Bolivariano: Checking Account No. 5075003350
- For registration purposes, please upload the receipt to the Online Payment Button..
In-person payments at the Treasury windows: Available Monday to Friday from 08h30 to 17h30.
For information about direct financing plans with USFQ, please email: plandefinanciamiento@usfq.edu.ec.
For information about other payment methods, please email: tesoreria@usfq.edu.ec.
Scholarships
The Master's program offers scholarships of up to 25% based on academic excellence demonstrated during the application process and maintained throughout the execution of the program.
Admission Process
Requirements:
To enroll in the program, applicants must submit the following documentation digitally to Santiago Tapia's email address: stapia@usfq.edu.ec, or contact an admissions advisor via WhatsApp here:: https://wa.me/593997616474.
If any requirement is missing, the applicant cannot participate in the process:
- Confirmation of payment made through the Payments Hall (screenshot). Link
- Complete and submit the Application Form found at the following button:
Graduate Admissions Application Form
- Registration of the third level degree in the SENESCYT (applies to both national and foreign universities) in broad fields of Business Education and Administration. If you do not have a postgraduate degree in these fields, professionals from other fields will be accepted who demonstrate aptitude, professional experience, or fundamental knowledge in the program's field of knowledge. A minimum of three months of work experience, participation in diploma programs, or completion of other relevant courses in data analysis, extraction of relevant information, and problem-solving using quantitative approaches will be considered, as appropriate.
- Copy of identity card or passport.
- Knowledge of English, equivalent to at least the A2 level of the Common European Framework (determined by the USFQ English placement exam or by TOEFL, IELTS, or Cambridge certificate. Certificates must be no more than two years old at the time of application).
- Statement of purpose (motivation letter) explaining your reasons for being part of the program and why you want to study this master's degree.
- Two (2) letters of recommendation in PDF format and with electronic or digital signatures. One of them must be professional.
- Personal interview with the professors of the graduate program.
- Work experience. Applicants are recommended to have at least 1 year of relevant work experience (internships, full-time work, etc.). For this, they must submit the following during the selection process:
- Updated Resume (CV - curriculum vitae).
- Employment certificate, email address, and conventional phone number(s) of employers to validate the information.
