Master's Degree

Become an AI and data analytics professional

Artificial Intelligence and Data analytics, Master of Engineering

Are you interested in using and applying artificial intelligence and data analytics? In our Master's programme you will gain a general overview and knowledge of potential application of data analytics and AI, machine learning, neural network methods and mathematical models behind them. Apply and become a professional in AI and data analytics!

Apply on Studyinfo.fi
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Product scope
60 ECTS credits
Annual intake
20
Application period
05.01.2022 - 19.01.2022
Degree
Master of Engineering
Study modes
Part-time studies
Starts
26.08.2022

Key learning outcomes

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.

Study contents

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

  • Artificial Intelligence, 5 ECTS credits
  • Data Analytics, 5 ECTS credits
  • Machine Learning, 5 ECTS credits
  • Deep Learning and Neural Networks, 5 ECTS credits
  • Master’s Thesis, 30 ECTS credits

Shared Master Competence

  • Research and Development, 5 ECTS credits (preferred) or
  • Management, 5 ECTS credits

Compulsatory Competence

  • Elective Master’s Degree Level studies, 5 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.

Artificial Intelligence and Data analytics as a Master's degree programme - become a professional!

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.

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.

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.

You must make choices when you have a family and a job. Studies require planning and goal-orientation.

Satu Korhonen, Machine Learning Engineer, Fellowmind Finland

Read Satu's story

How to apply in January

Short step-by-step instructions on how to apply.

How to apply for Master's Degrees

How to apply for Master's Degrees

Application timetable and selection criteria for Master's degree programmes conducted in English. Apply 5 - 19 January 2022 by 3 p.m.!
Tuition fees and scholarships

Tuition fees and scholarships

The tuition fee concerns non-EU/EEA degree students who study in English-taught Bachelor's or Master's degree programme. Scholarship available.
Admission Services

Admission Services

Admission Services will assist you in all matters related to applying for degree programmes.
Get a Master's Degree | Jamk Master School

Get a Master's Degree | Jamk Master School

Get a Master's Degree from Jamk Master School. Choose from one of the two paths and develop into either management and leadership excellence or professional expertise excellence. You can study flexibly while working.

Contact information

Mika Rantonen

Yliopettaja, Principal Lecturer
IT, Institute of Information Technology
Teknologia, School of Technology
+358407167269