MASTER'S DEGREE IN DATA SCIENCE FOR BUSINESS
The Master's Degree in Data Science for Business trains leaders capable of turning data into the main driver of competitive advantage in their organizations. It integrates advanced analytics, artificial intelligence, and business strategy to transform complex information into high-impact decisions.
During the program, participants acquire the skills to design and lead AI-based initiatives, lead interdisciplinary teams, and evaluate the economic and strategic viability of analytics projects, directly contributing to innovation, efficiency, and sustainable business growth.
BENEFITS
Students benefit from academic resources, exclusive partner discounts, and financing opportunities.
- Interest-free financing available directly through the Graduate School.
- Exclusive discounts for the Ulima Community—contact your advisor for details.
- Employability Center (Ulima Laboral)
- Access to the Wellness Center (gym, nutrition, psychopedagogical counseling)
- Access to Mayorazgo Sports Complex (swimming, football, basketball, volleyball)
- Access to Ulima Medical Department
- Valid discounts via Ulima App
PROCESS
PROFILE EVALUATION
Your file is evaluated. Once approved, you can pay the enrollment fees.
PSYCHOLOGICAL EVALUATION
You can do this evaluation in parallel with the essay. This is sent to your email.
ESSAY WRITING
You will access a platform to write an essay. This must include your reasons to apply to the master’s program.
INTERVIEW WITH THE DIRECTOR
A personal interview with the director of master's or doctoral program takes place once the previous steps have been completed.
PAYMENT COMMITMENT LETTER
You must submit a signed payment commitment letter and pay the first installment.
CURRICULUM
The curriculum is designed to prepare leaders to use data and artificial intelligence to improve decision-making, optimize operations, and create new business opportunities. Across four academic semesters, it combines technical foundations with applied projects that enable students to apply advanced analytics to real-world organizational problems.
PROGRAMMING FUNDAMENTALS
STATISTICS
DATABASES AND INTRODUCTION TO BIG DATA
TEAM LEADERSHIP AND CHANGE MANAGEMENT
MACHINE LEARNING
STATISTICS II
MANAGEMENT AND INNOVATION IN ANALYTICS PROJECTS
DECISION MODELS
DEEP LEARNING
TEXT ANALYTICS
PROJECT I
AI AND MACHINE LEARNING OPERATIONS (AI/ML OPS)
FINANCIAL VALUATION FOR STARTUPS
PROJECT II
APPLICANT PROFILE
The program is designed for professionals with decision-making responsibilities or leadership aspirations who need to integrate advanced analytics and artificial intelligence into their organizations' strategy and operations.
It is particularly suited to:
- Managers, department heads, and functional leaders who need to incorporate analytics and AI into decision-making.
- Professionals in engineering, economics, business administration, systems engineering, statistics, and related fields who have leadership responsibilities or aspirations.
- Consultants, product managers, marketing managers, specialists, and analysts involved in data-driven strategic projects.
- Entrepreneurs and innovation managers seeking to develop business models based on the intensive use of information.
Basic knowledge of statistics and proficiency with digital tools are valued, along with analytical ability, strategic thinking, and a focus on practical application in organizational settings.
GRADUATE PROFILE
Graduates of the Master's Degree in Data Science for Business will be strategic leaders who combine deep technological expertise with business acumen to drive high-impact decisions that transform processes, generate efficiencies, and create new sources of value. They serve as a bridge between corporate strategy and analytical capabilities, aligning senior management, functional areas, and technical teams to implement AI solutions focused on critical business objectives.
They also lead data-driven organizational transformation processes, evaluate the economic and strategic viability of analytics initiatives, and design monetization models that drive innovation and sustainable growth.
Their profile prepares them to assume high-level roles such as Chief Data Officer, Head of Analytics, or Digital Transformation Leader, contributing directly to executive decision-making and the organization's competitive positioning.
To obtain the graduate status, students must:
- Complete the study program.
- Fulfill all university obligations.
- Process graduate status with the Student Services and Registry Office (DUSAR).
To obtain the academic degree, students must:
- Hold graduate status.
- Demonstrate proficiency in a foreign or native language by submitting a valid certificate from an institution recognized by the Ulima Language Center.
- Hold an approved thesis or research project in the relevant field.
- Comply with all requirements set forth in the rules and regulations.
Note 1: Students have a maximum of six (6) years to obtain the academic degree.
Note 2: The current rules and regulations are available on the Ulima website (click here).
PROFESSORS
Our faculty members stand out not only for their academic and professional experience, but also for their commitment to teaching and their dedication to fostering ethical and critical thinking. Through their work, they advance knowledge, research, and society.
ADVISORY COUNCIL
VÍLCHEZ INGA , César
PhD in Systems Engineering from Universidad Nacional Federico Villarreal. Master's Degree in Systems Engineering from Universidad Nacional del Callao. Electronic Engineer from Universidad Nacional Mayor de San Marcos. He has completed specialized courses in machine learning, big data, data science, and digital transformation, the latter through MIT Sloan Executive Education. He served as Secretary of Government and Digital Transformation at the Office of the President of the Council of Ministers, where he led policies on digital government, artificial intelligence, and cybersecurity. He has undertaken technical missions in South Korea and with the Organization of American States (OAS). He currently serves as Head of the Technical Team for the Public Investment Management Improvement Project, implemented by the Ministry of Economy and Finance. He also teaches at various institutions in Peru.
JÁUREGUI HOYLE , Víctor
MBA from the PAD School of Universidad de Piura. Economist from Pontificia Universidad Católica del Perú. He specializes in digital transformation, data analytics, and telecommunications. He served as CEO and Commercial Director of Optical Networks and has held leadership positions at companies including McAfee, Prosegur, and Telefónica. In 2024, Forbes Peru recognized him in its CMO Next ranking as one of the country's leading marketing executives. He currently serves as Commercial Vice President of Win, a leading fiber-optic operator in Peru.
LINARES SALINAS , Erick
MBA from Universidad Politécnica de Madrid (Spain). Systems Engineer from Universidad Católica de Santa María. He completed a diploma program in Project Management at the UPC Graduate School. He has a specialization in Digital Transformation from MIT (United States). He is co-founder and Director of CSTI Corp., a technology consulting firm with a presence in six countries that has led digital transformation initiatives in the region for more than 15 years. Under his leadership, the company became an SAP Gold Partner, serving more than 300 clients with high-impact solutions. He also advises corporate boards on the adoption of emerging technologies.
