Become an AI and data analytics professional

Student knowledge profile is dictated through his personal learning plan.

Artificial Intelligence and Data Analytics Master’s Degree programme student knows how about possibilities of data analytics and artificial intelligence, their applications, the importance of data quality, and the ethics of artificial intelligence. The student will know how to plan, develop, implement data analytics and artificial intelligence to the various real-world challenges of the project. The student have knowledge and skills to apply the methods to right data in real environments.

The student will have the ability for life-long learning professionally, make decisions and communicate effectively as part of a multinational team. The student knows how to conduct research ethically.

After completing the studies you will have gained a general overview and knowledge of potential applications of data analytics and artificial intelligence, data analytics, machine learning, neural network methods and mathematical models behind them.

Furthermore, you know the data privacy settings, quality requirements, and ethical considerations. You will learn how to find the right methods for different sets of data and how to solve problems. Evaluating the effectiveness of the methods used is an essential part of applying them.

Master of Engineering, 60 ECTS credits

Expert Core Competence, 25 ECTS credits

• Research-based Development, 5 ECTS credits
• Modern Management of IT, 5 ECTS credits
• Advanced Data Analytics, 5 ECTS credits
• Advanced Machine Learning, 5 ECTS credits
• Advanced Deep Learning and Neural Networks, 5 ECTS credits

Elective Master’s Degree Level studies, 5 ECTS credits

• New and Emerging Technologies, 5 ECTS credits
• Cyber Security Implementation in Practice, 5 ECTS credits
• Robotics Applications, 5 ECTS credits
• Data Analytics, 5 ECTS credits  

Master's Thesis, 30 ECTS credits

Master's Thesis

The master’s thesis (30 ECTS credits) is the core of the master’s degree. The objective of the master’s thesis is to develop and demonstrate the student’s ability to apply research data and use chosen methods to analyse and solve problems arising in professional work. It also demonstrates the student’s readiness and ability for independent, demanding expert work.

Scope of the Education

If you have a previously completed Bachelor or Master level degree, you deal with data and know how to program, do apply. The extent of the education is 60 – 90 ECTS (European Credit Transfer System) depending on the degree. For example, for someone with a Bachelor’s degree in Engineering (B.Eng.) it is 60 ECTS, and for someone with a Bachelor’s degree in Business Administration (BBA) it is 90 ECTS.

As a part-time student, you can complete the programme in approximately two years. It is also possible to complete the programme in one year as full-time studies. The education is implemented as blended learning: you study part of the time independently and you meet your group during contact teaching days 2-3 times a semester.

The objective of the education is to respond to the growing challenges of data analytics and artificial intelligence. After completing the studies, you will know about possibilities of data analytics and artificial intelligence, their applications, the importance of data quality, and the ethics of artificial intelligence. You know how to plan, develop and implement data analytics and artificial intelligence to the various real-world challenges in projects. You have knowledge and skills to apply the methods to right data in real environments.