The CMU Portugal Academy, a recently launched advanced training center in digital technologies based in Lisbon, Portugal, has open applications to three advanced training programs: AI, Data Science, and Machine Learning; Product Management; and User Experience and Service Design. The deadline for applications is September 9, 2024 and each program has 30 available positions.
Developed through a collaborative effort between the Instituto Superior Técnico, Faculty of Sciences of the University of Lisbon, NOVA School of Science and Technology, and Carnegie Mellon University, with the support from the Santander Portugal Foundation support, the CMU Portugal Academy will offer in-person postgraduate programs to train new talents and professionals with experience in other fields.
Program Details
The Courses will start in September 2024 and convene through May 2025, comprising 246 contact hours scheduled on Friday evenings and Saturday mornings. The activities will start already in June with a bootcamp common to the three courses where participants will engage in practical case studies and group exercises. The curriculum diversifies into three specialized modules unique to each program, and four optional modules, and culminates with a capstone project where participants apply their acquired skills to solve a real-world design challenge.
Classes will take place primarily onsite at ITI – Hub do Beato facilities, in Lisbon, with some modules taught by Técnico, FCUL, FCT NOVA, and CMU faculty members.
Eligibility and Application Process
Applicants should have a pre-Bologna degree (Licenciado) or master’s degree. Professional experience will be considered during the evaluation process, and submission of IELTS/TOEFL scores is optional. Applications can be submitted through the CMU Portugal Academy website. until September 9, 2024.
Early applicants will gain access to an introductory bootcamp covering the three topics, taking place on June 21, 22, 28, 29, and July 5 and 6 after work hours.
Program Overview
AI, Data Science, and Machine Learning program
This program provides foundational knowledge and skills in data science, machine learning, and big data technologies. Participants will learn data acquisition, preprocessing, machine learning algorithms, and model deployment to solve real-world problems and inform business decisions. It is ideal for data analysts, data engineers, software developers, and other professionals transitioning into data science or machine learning roles.
What to expect? Applicants will learn foundational skills in data acquisition, preprocessing, statistical analysis, and machine learning algorithms. They can expect to develop proficiency in using data science tools and techniques to extract valuable insights from data and build predictive models.
Product management
This program focuses on methodologies and case studies of product development across start-ups, scale-ups, and large tech companies. It covers value creation, experimentation, testing, growth, and cross-functional team collaboration. Designed for entrepreneurs, product managers, engineers, project managers, and product designers, the program aims to empower teams to drive sustainable growth, innovation, and business impact.
What to expect? Applicants will acquire knowledge in product discovery, market research, metrics analysis, and agile methodologies. They will learn to identify market opportunities, define product strategies, manage cross-functional teams, and drive product growth and success.
User Experience and Service Design
Offering comprehensive training in user-centered design, this program teaches participants to conduct user research, create interactive prototypes, and develop usable interfaces that enhance user satisfaction and business outcomes. It is suitable for aspiring UX/UI designers, graphic designers, web developers, and professionals interested in improving user experience in digital products and services.
What to expect? Applicants can expect to gain skills in user research, interaction design, prototyping, and usability testing. They will learn to create user-friendly interfaces and improve user satisfaction, which are essential for designing successful digital products.
For more information on the modules, faculty, and course structure, visit the program’s website the CMU Portugal Academy website.
