Robotics

Program Overview

The Master of Science in Technology (Robotics) program at the University of Vaasa equips students with the knowledge and skills to create intelligent robotic solutions for smart energy systems, sustainable battery production, and recycling. The program emphasizes novel ICT and automation technologies, preparing graduates for careers in the rapidly growing field of smart energy. Students gain a deep understanding of robotics, digitalization, and business studies, enabling them to lead and manage the development and implementation of innovative smart energy solutions.

Program Outline

Degree Overview:

The Master of Science in Technology (Robotics) program at the University of Vaasa is designed to provide students with the knowledge and skills needed to create intelligent robotised solutions for smart energy systems, sustainable battery production, and recycling. The program has a strong focus on novel ICT and automation technologies, and graduates will be well-equipped to work in the rapidly growing field of smart energy. The program's objectives are to:

• Provide students with a deep understanding of the key technologies that drive smart energy systems.
• Develop students' analytical skills and ability to critically evaluate new technologies and their potential impact on the energy sector.
• Prepare students to lead and manage the development and implementation of new smart energy solutions.
• Equip students with the skills needed to conduct research in the field of smart energy.
The program is structured around three core modules: robotics, digitalisation, and business studies. The robotics module provides students with a foundation in the fundamental principles of robotics, including embedded systems, computer vision, and artificial intelligence. The digitalisation module covers the latest trends in digital technology, such as big data analytics, cloud computing, and the Internet of Things. The business studies module provides students with the knowledge and skills needed to understand the business aspects of smart energy systems, including market analysis, project management, and financial planning.

Outline:

The Robotics major in the Master of Science in Technology (Smart Energy) program consists of 35 ECTS credits of coursework in robotics. The core courses in the major are:

• Embedded C Programming
• Intelligent Robotics
• Applied Signal Processing
• Digital Image Processing
Students can also choose from a range of specialized courses to tailor their learning experience. Some of the specialized courses that are available include:
• Machine Learning
• Applied Machine Learning
• Machine Learning for Computer Vision
• Embedded System Architecture and Design
• SoC-FPGA
The program is typically completed in two years of full-time study.

Assessment:

The assessment methods used in the program vary depending on the course. Some courses use traditional methods such as exams and papers, while others use more innovative methods such as project-based learning and peer assessment. The program's assessment criteria are based on the learning outcomes for each course. These learning outcomes are developed by the faculty and are designed to ensure that students have mastered the material.

Teaching:

The program is taught by a team of experienced faculty who are active in research and development in the field of smart energy. The faculty use a variety of teaching methods, including lectures, tutorials, and laboratory work. The program also benefits from the university's strong ties to industry. This allows students to learn from and network with professionals who are working in the field of smart energy.

Careers:

Graduates of the Robotics major in the Master of Science in Technology (Smart Energy) program will be well-prepared for a variety of careers in the field of smart energy. Some of the potential career paths for graduates include:

• Robotics engineer
• Automation engineer
• Data scientist
• Project manager
• Business analyst
Graduates will also be eligible for doctoral studies in automation engineering, communications engineering, electrical and computing engineering, or related technical fields.