Bachelor of Engineering - Artificial Intelligence (Data Engineering)
The Bachelor of Engineering in Artificial Intelligence (Data Engineering)...
Bachelor of Engineering - Artificial Intelligence (Data Engineering)
Pori
INTAKE: September
Program Overview
The Bachelor of Engineering in Artificial Intelligence (Data Engineering) at Satakunta University of Applied Sciences (SAMK) offers a comprehensive education for students interested in cutting-edge fields such as artificial intelligence (AI), data engineering, and machine learning. The program is designed to equip students with the technical expertise and problem-solving skills necessary to build AI-driven systems and manage large datasets. Graduates are prepared to meet the growing demand for data engineers and AI specialists across various industries, including technology, healthcare, finance, and manufacturing. The program emphasizes practical skills and real-world applications, with opportunities for internships and collaborative projects.
Curriculum: The curriculum of the Bachelor of Engineering in Artificial Intelligence (Data Engineering) blends theoretical knowledge with hands-on learning experiences. Students start with foundational courses in computer science, mathematics, and engineering principles. As the program progresses, the curriculum dives deeper into specialized topics such as AI algorithms, data analysis, big data management, and cloud computing. The program includes practical training in programming languages such as Python and Java, as well as tools like TensorFlow and SQL for data manipulation and machine learning model development. Additionally, students engage in project-based courses and work with industry partners to tackle real-world problems, preparing them for their professional careers.
Research Focus: At SAMK, the research focus of the Artificial Intelligence and Data Engineering program is directed toward advancing AI technology and its applications across different sectors. The university fosters a collaborative research environment where students and faculty explore cutting-edge innovations in data science, machine learning, and automation. Research areas include AI in healthcare, predictive analytics, data mining, and the integration of AI in industrial processes. SAMK’s research is designed to bridge the gap between academic knowledge and industry needs, ensuring that students contribute to research projects that have tangible, real-world impact.
Industry Engagement: Industry engagement is a key element of the Bachelor of Engineering in Artificial Intelligence (Data Engineering) program at SAMK. The university maintains strong partnerships with businesses and organizations, providing students with opportunities to gain practical experience through internships, co-op programs, and industry-driven projects. These collaborations ensure that students are well-versed in the latest industry trends and technologies, and have the chance to work on real-world problems. SAMK’s close ties with industry partners also help students network and enhance their employability after graduation, as many students are offered positions with companies they interned with during their studies.
Global Perspective: SAMK offers a global perspective on education by incorporating international collaborations and opportunities for students to work in multicultural teams. The university encourages mobility and cross-cultural exchange through Erasmus+ and other international programs. Students in the Bachelor of Engineering in Artificial Intelligence (Data Engineering) program have the opportunity to attend international conferences, participate in exchange programs, and collaborate with international companies. This global exposure helps students develop a broader understanding of AI and data engineering practices, preparing them for careers in global markets and giving them a competitive edge in the international job market.
Location
Pori
Score
IELTS 6
Tuition Fee
€ 10500
Undergraduate Entry Requirements
Application Fee: €100
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 60 or higher.
- PTE: Overall score of 55 or higher.
SAMK offers a scholarship program for non-EU/EEA international students who are required to pay tuition fees. The scholarship is available for students enrolling in bachelor’s and master’s degree programs.
Bachelor’s Degree Scholarships: For international students applying to undergraduate programs, SAMK provides a partial scholarship covering 50% of the tuition fee for the first year. To maintain eligibility for the scholarship in subsequent years, students must meet certain academic criteria, such as maintaining a satisfactory academic progress and achieving a set number of ECTS credits.
Early Payment Discount: SAMK also offers an early payment discount to students who pay their tuition fees in full before the start of the academic year. This discount typically ranges from 5% to 10%, helping students save on their educational costs.
Scholarships for Academic Excellence: SAMK rewards students who demonstrate outstanding academic performance. If students achieve excellent results in their studies, they may be eligible for additional scholarships or financial awards as a recognition of their hard work and achievements.
Graduates of the Bachelor of Engineering in Artificial Intelligence (Data Engineering) from Satakunta University of Applied Sciences (SAMK) have access to a wide array of career opportunities in the fast-evolving fields of artificial intelligence, data science, and engineering. These professionals are in high demand across multiple sectors, including technology, finance, healthcare, and manufacturing.
Data Engineer: Designing and building systems to collect, manage, and analyze large sets of data to support decision-making processes within organizations.
AI Specialist: Developing and deploying machine learning models, artificial intelligence systems, and automation solutions to improve business processes and solve complex problems.
Software Engineer: Writing and maintaining code for applications and systems, particularly those integrating AI, data processing, and machine learning techniques.
Data Scientist: Analyzing complex data sets to provide actionable insights, predictions, and recommendations for businesses.
Business Intelligence Analyst: Using AI and data engineering techniques to interpret data and assist organizations in making strategic decisions based on analytics.
Machine Learning Engineer: Creating algorithms and models to improve systems’ learning capabilities, often applying these to areas such as speech recognition, natural language processing, and computer vision.
AI Product Manager: Overseeing the development of AI-powered products, collaborating with engineering teams to ensure successful product delivery.
Research Scientist in AI/Data Engineering: Engaging in research and development to advance the field of artificial intelligence and data engineering, often working in academic institutions or private research labs.
