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 between 4-18 January 2023
Woman and a man checking data on glass screen
Product scope
60 ECTS credits
Annual intake
20
Application period
04.01.2023 - 18.01.2023
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.

Career opportunities

After completing the degree, you can work as e.g. a Data scientist, Data analyst, Data engineering, AI specialist, Business Analyst or Machine Learning Engineer. The graduates usually work in ICT tasks in which they plan, develop and also implement projects which need know-how in artificial intelligence and data-analytics.

Further studies

The graduate may apply to continue on to postgraduate studies in science or arts at universities (Act 558/2009, Section 37) and in the school of professional teacher education. The studies can be continued by applying e.g. to corresponding post-degree education at universities abroad. A university of applied sciences also provides opportunities for continuing education in the form of specialisation studies, open studies, an online study portal (CampusOnline) and working life based continuing education.

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.

Entry requirements: Artificial Intelligence and Data Analytics

  • The requirements for eligibility are a bachelor's level degree in engineering in the field of technology, or in the field of natural science (BBA in Business Information Technology) AND
  • at least two years (24 months) of work experience in the field of technology after the bachelor's degree.  

Application period: 4 – 18 January 2023 by 3.00 p.m. Finnish time

Applying for degree programmes conducted in English at universities of applied sciences (UAS) takes place through an online joint application system. 

  • Apply online 4 – 18 January 2023 by 3.00 p.m. Finnish time at www.studyinfo.fi.
  • Attach the required enclosures (degree and work certificates and possible pre-assignment) to the online application form by 25 January 2023 by 3.00 p.m. Finnish time (UTC+2) (e.g. as pdf. files).

Entrance examination: Pre-assignment and interview

All applicants who have demonstrated their eligibility, attached the pre-assignment to the application and have scored at least 20 out of 40 points in the pre-assignment will be invited to the entrance examination (interview). If an applicant fails to score at least 20 points in the pre-assignment, one will not be invited to the entrance examination.

The entrance examination (interview) will be held online (skype, zoom) during weeks 11-13 (13 - 31 March 2023).

The student selection process includes a pre-assignment (max. 40p.) and an interview (max. 60p.), altogether max. 100 points. The student selection is based on the total score of the entrance examination and pre-assignment. An applicant must score at least scored at least:

  • 20/40 points in the pre-assignment and
  • 10/60 points from the interview

Pre-assignment's questions can be found on the application on Studyinfo. The answers for the questions must be attached to the application (f.e. in pdf form) by 25 January 2023 at 3.00 p.m. Finnish time at the latest. 

The entrance examination does not include a pre-reading material.

Results of student selection: Steps for new students

Results are announced in the middle of April at the earliest and on 2 June 2023, at the latest.

  • accept the offer of admission at studyinfo.fi
  • enrol for attendance/non-attendance
  • NON-EU/EEA citizens: pay the tuition fee payment as soon as possible
  • start the residence permit (if needed) application process immediately in May to be able to start your studies in August. The residence permit application process might take time over 2 months, so be in time!
  • Studies will begin in the middle/end of August 2023. Welcome to study with us!

How to apply for Master's Degrees

Application timetable and selection criteria for Master's degree programmes conducted in English. Apply 4 - 18 January 2023 by 3 p.m.!

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 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 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