Master’s of Science in Analytics (Analytics)
SNIES Register: 104198
Level: Postgraduate degree
Title: Magíster en Inteligencia Analítica para la Toma de Decisiones
Program Length: Can be completed in eighteen (18).
Why studying the Master’s of Science in Analytics at Universidad de los Andes?
With the pervasive development and deployment of digital technologies, organizations have been developing an increasing capacity to collect and store large amounts of data. The organizations that can transform this (these) data into valuable information to support their decision-making processes will have a clear advantage over their competitors.
An Analytics professional is capable of leading the process of transformation of data into information for decision making. This process begins with the extraction of the data from their respective sources and continue with (to) the transformation in structured systems that feed the relevant descriptive, predictive and prescriptive models. These models, based on mathematical and computational techniques, generate quantitative information with different perspectives. Finally, to conclude the process, Analytics professionals must be able to synthesize and presents analysis results in an effective manner to provide added value to organizations through high impact decisions.
This first Master of Science in Analytics program in Colombia, is supported by both the solidly grounded traditional and the modern vision of the industrial engineering at Universidad de los Andes, where systems are assessed based on mathematical modeling, data analysis, computational simulation with an integrates, systemic approach. The program counts with the physical, teaching and research resources that have placed Universidad de los Andes as one of the best universities in the QS (Quacquarelli Symonds) University Rankings of Latin America and in the global QS World University Rankings.
Objective of the program
To form trained Analytics professionals in the efficient use of big data through the application of descriptive, predictive and prescriptive techniques to support decision-making processes, creation of competitive advantages and added value to organizations.
Professionals in engineering, business administration, economics, mathematics and related majors with basic quantitative training with at least two years of work experience in positions that involve data and information management to support high impact decision-making. Applicants must demonstrate high academic performance, as well as communication, teamwork, and leadership skills.
The M.Sc. in Analytics has a total of 36 credits, distributed in nine (9) courses through four (4) academic periods. Throughout the program, numerous applications seminar will be given to approach and confront students to the real problems and solutions in the organizations.
Time duration and Intensity
The program has a duration of 18 months with part time dedication. Classes take place three times a week, from 5:00 p.m. onwards, including some Saturdays.
Magíster en Inteligencia Analítica para la Toma de Decisiones
August of every year (annual admissions)
International Summer School
The international projection of the Faculty of Engineering allows students to complement their curriculum with elective courses from the International Summer School. During June and July, professors from prestigious international universities visit Universidad de los Andes to exchange ideas and strengthen research relationships with our professors and students. This provides students with the opportunity to get in touch with the newest trends and world-class advances in the field of Analytics and in related disciplines.
Universidad de los Andes has developed diverse agreements with ICETEX and entities from the financial sector to offer postgraduate students different financing options with short, medium and long term payment plans, financing up to 100% of the program tuition fees.
Departamento de Ingeniería Industrial
Cra 1 Este # 19A - 40
Edificio Mario Laserna, Piso 7
Bogotá D.C., Colombia
Tel: +57 (1) 3394949 Ext 2897