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Master's Degree Programme in Artificial Intelligence and Data Analytics

Degree:
Master of Engineering

Degree title:
Master of Engineering

Credits:
60 ects

Key learning outcomes

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

Concerning sustainably, the aim is to develop and lead sustainable and responsible practices in your work and promote sustainability change in your work community and society. You will be able to apply knowledge of sustainable development and future visions as the basis for comprehensively sustainable solutions. You are also able to analyse and evaluate multidisciplinary complex problems with systemic dependencies and different dimensions of solutions. You can lead your work community in finding and implementing operating models and consolidation of sustainable solutions.

Education content and professional growth and know-how

Your professional growth is carried out with a tutoring process which starts at the very beginning of your studies and continues until graduation. In this process, you complete your personal learning plans and discuss their needs for developing your target competences with their designated teacher tutors. The 60-ECTS programme is designed as obligatory core studies and optional studies. The discussions with the teacher tutor lead to selecting appropriate courses in students’ optional studies. Recognising prior learning (RPL) will be considered.

The core studies include the 20-ECTS Artificial Intelligence and Data Analytics module and the 30-ECTS master’s thesis. The Artificial Intelligence and Data Analytics module develops students' expertise in the Artificial Intelligence and Data Analytics field and the students can choose their topics for their 30-ECTS master’s thesis. Once your topic proposal is accepted, you are provided with personal supervision and guidance in master’s thesis seminars when writing your thesis. You also have a research-based development course, 5 ECTS, to support your master’s thesis research. In addition, students can take 5 ECTS of elective studies from other available master-level courses and develop their complementary competence.

Flexible studies

You can take the studies part-time (in two years, 60 ETCS) or (in three years, 90 ETCS) based on your preference. Most of the courses are implemented by blending in-class activities with learning in virtual environments. Prior learning can be recognised via other master-level studies or through work experience based on discussions with course instructors.

You can choose your alternative or elective studies from EduFutura partner institutions (University of Jyväskylä and Gradia) and international studies from European EUDRES higher education institutions. You can also choose from Finnish and foreign partner universities, such as other universities of applied sciences and universities. You can apply for accreditation of higher education studies that you have completed elsewhere.

Working life oriented learning

The development assignments included in the study modules and courses are integrated into working life. The studies make use of the competencies and expertise of the study group members.

The thesis focuses on work life-oriented research and development. It also demonstrates your readiness and capability for independent, demanding expert work.

Career opportunities and employment

You are are able to carry out duties as data scientists, AI/ML specialists and managerial work in demanding artificial intelligence and data analytics projects. Developing as an AI/DA expert opens new and challenging positions, and an opportunity to progress in your career. You will deepen your leadership and communication skills as well as networking skills in different roles in AI/DA projects and various roles within the organisation. A postgraduate can work as an organisational developer and active producer of new knowledge and skills.

Qualifications

There are no specific degree-related or statutory qualification requirements in the field.

Further studies

You may, after graduating, apply for postgraduate studies at universities or studies at the School of Professional Teacher Education. You can also continue your studies by applying for corresponding further education programmes in foreign higher education institutions, such as EUDRES higher education institutions. The university of applied sciences offers opportunities for competence development in various institutes, such as the open university of applied sciences, specialisation training and work-oriented continuing education.

Education planning

The learning outcomes laid down in the curriculum of the degree programme have been derived from the analysis of the operating environment, Jamk's own strategy, and the school's core competence areas. The planning has been carried out in cooperation with students and representatives from regional working life, including alumni.

The development proposals and course feedback submitted by the students of the degree programme have been considered in the development of the curriculum. International expertise takes place by comparing the contents of the educational offerings of partner universities and with the expertise of the visiting lecturers. Representatives of the degree programme are closely involved in the activities of regional and international industrial networks, thus providing foreknowledge for the needs of the future.

Contact Information

Mika Rantonen
Principal Lecturer
School of Technology
+358407167269
firstname.lastname@jamk.fi

Master's Degree Programme in Artificial Intelligence and Data Analytics
Code
(YTI2024SS)
Master's Degree Programme in Artificial Intelligence and Data Analytics
Code
(YTI2023SS)
Master's Degree Programme in Artificial Intelligence and Data Analytics
Code
(YTI2022SS)
Master's Degree Programme in Artificial Intelligence and Data Analytics
Code
(YTI2021SS)
Master's Degree Programme in Artificial Intelligence and Data Analytics
Code
(YTI2020SS)

Timing 28.08.2023 - 19.12.2023 Code YTIP2100-3004 Groups YTI23S1
Timing 08.01.2024 - 30.04.2024 Code YTIP2200-3004 Groups YTI23S1
Timing 28.08.2023 - 19.12.2023 Code YTIP2400-3004 Groups YTI22S1
Timing 20.09.2023 - 31.12.2023 Code YZWZ0220-3020 Groups YSN23S1
Timing 28.08.2023 - 19.12.2023 Code YTIP2300-3004 Groups YTI22S1
Timing 01.02.2024 - 31.05.2024 Code YZWZ0130-3010 Groups YSN23S1 YSD22S1 YSP22S1
Timing 08.01.2024 - 30.04.2024 Code YZWZ0110-3032 Groups YTI23S1
Timing 04.09.2023 - 20.12.2023 Code YZWZ0110-3038 Groups YSD23S1 YSN23S1 ZJAYSD23S1
Timing 26.08.2024 - 18.12.2024 Code YTIP2200-3005 Groups YTI24S1
Timing 26.08.2024 - 18.12.2024 Code YTIP2400-3005 Groups YTI23S1
Timing 26.08.2024 - 18.12.2024 Code YT00CA12-3001 Groups YTP24S1 YTS24S1 YTC24KV YTI24S1 YTC24S1
Timing 26.08.2024 - 01.12.2024 Code YZ00CK87-3003 Groups ZJAYSI24S1 ZJA24SSY YSF24S1 YSU24K1 YSG24S1 ZJAYSB24S1 YSI24S1
Timing 26.08.2024 - 18.12.2024 Code YZWZ0110-3039 Groups YTI24S1
Timing 07.01.2025 - 30.04.2025 Code YZ00CK87-3009 Groups YTP24S1
Timing 26.08.2024 - 01.12.2024 Code YZ00CK87-3010 Groups YSC24KM ZJAYSC24KM YSB23S1 YSH23S1