The applications to Human-Computer Interaction - Computer, Communication and Information Sciences (CCIS) are evaluated based on the following criteria:
Academic performance
What is evaluated? |
Grades of the previous degree(s) and pace of studies |
What we look for in an applicant? |
The CCIS programme is looking for applicants with excellent academic performance in their previous studies. In study options where the number and quality of applications is high, this means that the applicant has achieved consistently excellent grades throughout the degree studies (very high weighted average grade or GPA).
The applicant’s prior academic performance will be evaluated based on the grade point average (GPA) and grades in key courses. The time spent on the previous studies will also be considered. All the applicant’s previous university studies, including incomplete degrees and non‐degree studies, will be taken into consideration when evaluating academic performance.
Applicants from Finnish universities of applied sciences (AMK) The minimum GPA for applicants from Finnish universities of applied sciences is 4.0. Meeting the minimum GPA does not guarantee admission to the programme. Applicants with GPA below the limit cannot be admitted. Programme’s courses or equivalent courses completed in the open university or as non-degree studies with excellent grades may support the application.
International applicants For applicants whose degree is completed abroad (i.e. not in Finland), the interpretation of excellent academic performance depends on the applicant's country and recognition and quality of university. In the previous years, at least the following GPAs have been required: Bangladesh 3.70/4, China (Mainland) 3.50/4 or 85/100, India 8.0 or 75%, Pakistan 3.60/4. Meeting these GPA requirements does not guarantee admission to the programme.
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Method of demonstrating competence |
Transcript(s) of records, degree certificate(s) |
Relevance of previous studies
What is evaluated? |
Content and scope of previous studies |
What we look for in an applicant? |
Applicants are expected to have a high-quality Bachelor’s degree in computer science, software engineering, communications engineering, or electrical engineering. Excellent candidates with degrees in other fields including but not limited to information systems, engineering, natural sciences, mathematics or physics will be considered if they have sufficient studies in the required areas.
The required university-level studies for Human-Computer Interaction are:
- good or strong programming skills (including Python)
- algorithms (basics of theory)
- machine learning (basics of theory and methods)
- mathematics: courses in at least two of the following: linear algebra, calculus, probability theory, statistics
- human-computer interaction or interaction design: an introductory course
Advanced studies in all areas of HCI are advantageous for the applicant.
The contents of the applicant’s previous studies are evaluated based on the courses on the official transcript of records.
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Method of demonstrating competence |
Transcript(s) of records, course descriptions |
Recognition and quality of institution
What is evaluated? |
Recognition and quality of the applicant's previous institution |
What we look for in an applicant? |
We expect applicants to have completed their previous degree in a high-quality university and programme. The recognition of the applicant’s home university also affects the interpretation of the grades when evaluating the academic performance. |
Method of demonstrating competence |
International and national rankings of higher education institutions |
Suitability
What is evaluated? |
Applicant’s suitability to the study option, motivation, commitment to the studies, and written communication skills |
What we look for in an applicant? |
The applicant should be motivated to study the chosen subject and committed to full‐time studies with a plan to complete the Master’s degree in two years. We are looking for applicants who can express clearly the reasons for applying to the study option and describe why they would be excellent candidates for the study option.
Studies in the Master’s programme should provide genuinely new knowledge for the applicant. If the applicant already has a Master’s or a higher degree or is studying towards one, the motivation letter should clearly indicate why another one is necessary. In most cases, non-degree studies are recommended instead.
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Method of demonstrating competence |
Application as a whole including motivation letter |
Other areas of competence
What is evaluated? |
Work experience, other qualifications and achievements |
What we look for in an applicant? |
Beyond their academic record, applicants may have other experience, knowledge and qualifications that prepare them for the Master’s studies and distinguish them among their peers. We particularly value demanding work experience related to of the planned studies, participation in scientific research leading to publications, entrepreneurship, and special achievements such as success in competitions (e.g. Junction Hackathon). |
Method of demonstrating competence |
Curriculum vitae (CV), recommendation letters, proofs of employment, publications, other certificates, GRE or GMAT results (if available). |
During the evaluation of eligible applications, Human-Computer Interaction applications are first evaluated based on the following criteria:
- Academic performance
- Relevance of previous studies
Only the applications who fulfil the requirements for these criteria will be evaluated against the full set of evaluation criteria. It is not possible to compensate for these criteria with other criteria. This means, for example, that motivation for Master level studies in this subject does not compensate for low grades or that relevant work experience does not compensate for higher education studies in the required subjects.
After the evaluation of the remaining criteria below, the best applicants will be selected based on the joint evaluation of all five criteria.
- Recognition and quality of institution
- Suitability
- Other areas of competence
The admission process is very competitive and only the best applicants are selected yearly. Not all applicants fulfilling the requirements can be admitted.
In addition to obligatory application documents, the applicants to Human-Computer Interaction are requested to provide the following programme-specific documents:
- Self-evaluation form*
- The online form will be open during the application period. A link to it will be added to this page.
- Motivation letter*
- Based on your application documents (transcript of records, CV, other supporting documents), reflect on your
- relevant experience and achievements,
- expectations and motivation for MSc studies majoring in Human-Computer Interaction at Aalto University, and
- future career aspirations and how MSc studies in Human-Computer Interaction contribute to them.
- The motivation letter should be written in English. The recommended length is one page (font size 11 pt).
- Curriculum Vitae (CV)*
*) The lack of this document will cause rejection.
In addition, these additional documents add value to your application:
- At least one original recommendation letter
- The recommendation letter should preferably be from a university professor, lecturer or a thesis instructor who has supervised the applicant’s studies. There are no specific instructions for the contents of the recommendation letter. The letter should comment on the applicant’s suitability and aptitude for the programme. Recommendation letters written by work supervisors are accepted as well in case some time has passed since graduation.
- Short course descriptions of courses taken in the relevant subject areas
- Work certificates and certificates of other relevant achievements
- Copies of any publications
- Official transcript of records for additional university studies which are not included in the mandatory part of the application (e.g. incomplete degrees, exchange studies, non‐degree studies)
- GRE or GMAT test results, if available (please include a scanned copy of the test result)