Master's Programme in Life Science Informatics: ap­plic­a­tion form ques­tions

N.B. This page applies to you if you in December 2016 or January 2017 applied to the following programme: Mas­ter's Pro­gramme in Life Sci­ence In­form­at­ics, Mas­ter of Sci­ence (2 years)

The motivation letter and the study plan contained in it as well as analysis of your previous studies are done by answering the questions provided on the application form.  The questions are also listed below.  Please think about the answers to the questions beforehand, as you cannot change them after you have submitted your application.  The number of characters for each answer is limited.  Furthermore, there is a time limit for filling in the application.

Please note that the University of Helsinki runs a check-up on motivation letters and other similar documents with the plagiarism recognition tool if needed.

 

Motivation letter / analysis questions

  • What are your motives to apply for this Master's Programme at the University of Helsinki?  (1000 characters)
  • How do your previous studies enable you to succeed in the studies of this Master's  Programme?  (500)
  • How do the studies of this Master's Programme complement and broaden your previous studies?  (500)
  • Please specify how studying in this Master's Programme relates to your career objectives and what you wish to achieve by completing your master's degree?  (500)
  • Outline your academic interests in the chosen field, i.e. indicate what you see as being the topic of your Master's thesis and how it relates to this Master's Programme.  (1000)
  • Draw up a study plan. How will you complete your Master's studies in two years’ time? Please visit the web page of the programme and make a preliminary study plan for your master's studies here.  (2000)
  • Please fill in information about your degree and its course content in the categories mentioned below.  Please notice that you need not have taken courses in every category given below.
    • Category 1: Please fill in the total amount (ECTS) of mathematics, statistics and computer science in your degree.  (300)
    • Category 2: Please fill in the names of courses in mathematical analysis or calculus in your degree. Give also their ECTS.  (300)
    • Category 3: Please fill in the names of courses in linear algebra, matrix calculus and differential equations in your degree. Give also their ECTS.  (300)
    • Category 4: Please fill in the names of courses in probability calculus and/or probability theory in your degree, Give also their ECTS.  (300)
    • Category 5: Please fill in the names of courses in statistical inference and statistical modelling (such as linear models and generalized linear models) in your degree, Give also their ECTS.  (300)
    • Category 6: Please fill in the names of other courses in mathematics and statistics in your degree. Give also their ECTS.  (300)
    • Category 7: Please fill in the names of courses in programming in your degree. Give also their ECTS.  (300)
    • Category 8: Please fill in the names of courses in algorithms and data structures, and foundations of computing in your degree. Give also their ECTS.  (300)
    • Category 9: Please fill in the names of courses in computer architecture and operating systems in your degree. Give also their ECTS.  (300)
    • Category 10: Please fill in the names of other courses in computer science in your degree. Give also their ECTS.  (300)
    • Category 11: Please fill in the names of courses in biosciences in your degree. (300)
    • Category 12: Please fill in your GPA (Grade Point Average) percentage.  (Alternatively, you can fill your GPA value and the maximum.) If your official transcript or final degree certificate does not state GPA percentage, please calculate it as the weighted average of all grades in your official transcript. Do this by multiplying each grade’s point value by the number of credits. Sum all of these together and divide by the total number of credits. Please calculate the value as best as you can. This GPA will be verified by the university. An accurate self-reported GPA will help to expedite the processing of your application.  (150)
    • Category 13: Calculate your GPA for mathematics, statistics and computer science courses in your degree, by using the advise in category 12.  (150)
  • Give your own ECTS estimate of your degree size (numerical value, sum of the course sizes). You can find more information about ECTS from the document: http://ec.europa.eu/education/tools/ects_en.htm (150)