Introduction
Develop a data-driven mindset
Reshape the future of business and become an expert at mastering the most valuable resource of the digital age: data. The Master in Business Analytics is the right platform to help you transform your organisation through data analytics skills that will give you a competitive advantage in the new business landscape.
Format
Part-time
Duration
2 years
Location
Monterrey
Programme intake
April and September
Language
Spanish
A program for big-picture thinkers
Transform your organisation's performance, find patterns, and deploy data analytics projects through the optimal balance between your technical skills and solid business acumen. The Master in Business Analytics was designed to boost the growth of those inquisitive minds that strive to make way for the analytical revolution from a comprehensive perspective and a disruptive mindset.
Redefine your future with leading experts
Sharpen your new skills and technical knowledge thanks to a powerful alliance with the Engineering School at Tecnológico de Monterrey, one of the most renowned engineering schools in Mexico, while strengthening the business competencies that align with your technical mastery with the expert guidance of the EGADE Business School's faculty.
Gain top-notch knowledge
Follow a specialized curriculum that will place you at the top of the game in the field of data analytics applied to business with key competencies such as data mining, visualization, prediction and diagnostics, in addition to mastering SQL, Python and R.
Share courses and projects with students from the EGADE MBA, the Master in Finance and the Graduate Degree in Digital Strategy, which will help you add variety to your network.
Refine your expertise in the digital world
Take your learning experience beyond traditional on-site courses through the use of different platforms and digital tools that will give you an actionable component to your new knowledge.
This program was designed so that you can constantly apply what you have learned through sessions such as laboratories on Big Data, Business Analytics, Machine Learning, Artificial Intelligence, IoT and Cloud Computing, as well as a chance to deploy a comprehensive project in your own company.
Raise up your expertise and cement your new skills as a business specialist in data science by taking certifications issued by leading institutions in the digital sector.
Learn more about the admission requirements
Admission to this program is highly competitive. The admissions committee carefully reviews each application, looking at every quantitative and qualitative aspect of an applicant’s professional and academic background, and will assess the potential for academic success and professional growth. We seek accomplished candidates who have the potential to develop the skills and mindset to lead businesses by incorporating innovation in their strategy.
Admission requirements
Professional experience
Not required (6 years on average)
Age range
22 - 53
Education
College graduates
Minimum / Average test scores
550 / 600 PAEP (or GMAT/GRE/Executive Assessment equivalent)
Language
English proficiency exam (TOEFL, IBT or equivalent)
Additional requirements
Application form
Admission test score (PAEP or equivalent)
Two professional recommendation letters
Updated CV
Official documentation
English proficiency certificate (TOEFL or equivalent)
A statement of purpose
Interview with the program director or faculty member
