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Master's Programme in Computer, Communication and Information Sciences – Machine Learning, Data Science and Artificial Intelligence

The data-intensive major in Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) deals with some of the most challenging problems of the 21st century. Be it finding new solutions to tackle climate change or better understanding the causes of an epidemic, this field has an integral part to play.
Macadamia
Get a Master’s Degree in Computer, Communication and Information Sciences – Machine Learning, Data Science and Artificial Intelligence at Aalto University, the leading international and multidisciplinary university in the Nordics and Europe.

Examen:

Diplomingenjör

Ansökningsperiod:

1.12.2020 – 4.1.2021

Undervisningsspråk:

engelska

Längd:

2 år, heltidsstudier

Behörighet:

Lämplig lägre högskoleexamen

Utbildningsområde:

Det tekniska utbildningsområdet

Studiepoäng:

120 studiepoäng

Högskola:

Högskolan för teknikvetenskaper

Läsårsavgifter:

€15000/år (magister studier) för studeranden från länder utanför EU/EES

Ansökningsperioden börjar 1.12.2020 09:00 (UTC+2)

Ansökan till magisterutbildning

Description

What exactly is intelligence, and how does it evolve? What is learning and why has 'learning to learn' become a crucial skill in today’s world? Wanting to find answers to questions as plain and straightforward as these can be enough of a reason for someone to study machine learning, data science and artificial intelligence. Yet these fields also deal with some of the most challenging problems of the 21st century, making the Machine Learning, Data Science and Artificial Intelligence (or “Macadamia”) major at Aalto University an ideal study environment for someone who is motivated to get out of their comfort zone. Be it to find new solutions to tackle climate change or better understand the causes of an epidemic, artificial intelligence, data science and machine learning have an integral part to play.

A Macadamia graduate:

  • is able to define data-intensive problems in data science and artificial intelligence and understand their underlying statistical and computational principles.
  • is able to evaluate the suitability of different machine learning methods for solving a new problem encountered in industry or academia, and apply the methods to the problem.
  • can effectively interpret the results of a machine learning algorithm, assess its credibility, and communicate the results to experts of other fields.
  • can implement common machine learning methods and design and implement novel algorithms by modifying the existing approaches.
  • understands the theoretical foundations of the machine learning field to the extent required to be able to follow research in the field.
  • understands the opportunities that machine learning offers in data science and artificial intelligence.

Language of instruction

In the Macadamia major the language of instruction is English.

Content of the studies

Major compulsory courses at the beginning of the studies provide a strong foundation before further study in specific sub-areas. Students have the opportunity to dive deeper into areas such as Bioinformatics and Speech and language. There is also a range of general optional courses for students to choose from and they can also include optional courses from other majors in their study plan per agreement with a professor in charge of the major.

Doctoral Track

The major also offers a competitive doctoral track where a limited number of top students can be admitted. Students selected to the doctoral track can have their studies tailored towards pursuing PhD studies and can start working towards a PhD in one of the department’s research groups already during their Master studies. Applicants must explicitly indicate their possible interest for the doctoral track in their motivation letter when applying for the Master’s programme. The best doctoral track applicants will be interviewed. Read more >>

Topics

The technological and societal artificial intelligence revolution extends to all life and industries, providing us with countless new opportunities while also raising many questions about where the dangers lie. The topics in the courses touch the most recent phenomena and research findings in this revolutionary technology. To give concrete examples of the courses available, the following is a selection from the programme’s extensive curriculum:

  • Machine Learning: Supervised Methods (5 ECTS)
  • Deep Learning (5 ECTS)
  • Bayesian Data Analysis (5 ECTS)
  • Machine Learning: Advanced Probabilistic Methods (5 ECTS)
  • Artificial Intelligence (5 ECTS)

Methods

Aalto University’s Department of Computer Science is quickly rising in rankings and is now among the top departments in Europe. Students in the Machine Learning, Data Science and Artificial Intelligence major are provided with access to cutting edge research and guidance from leaders in the field. ​

The studies emphasise active, hands-on learning. Projects and different practical assignments are meant to engage students in active learning and encourage them to try out things for themselves instead of remaining passive recipients of information. The faculty consists of enthusiastic and internationally acclaimed professors and researchers in the field, all contributing to an enjoyable and encouraging learning environment.

Structure

Overall, the Master’s Programme in Computer, Communication and Information Sciences – Machine Learning, Data Science and Artificial Intelligence comprises a total of 120 ECTS credits. The two-year programme consists of:

  • Major studies (60 ECTS)
  • Elective studies (30 ECTS)
  • Master’s thesis (30 ECTS)

Personal Study Plan (PSP)

The Personal Study Plan (PSP) is a practical tool to define a student’s own study path, compiling an optimal selection of courses that are aligned with the student's interests and programme requirements. PSP is also a useful tool for students to keep track of their studies. At best, it shows where students are with their studies and sets concrete milestones for them to follow.

Internationalisation

The study environment in the programme is strongly international and studies are conducted in multicultural groups. The School of Science offers diverse possibilities for student exchange and internships all over the world. Students may find themselves doing an internship in Silicon Valley or taking a summer course at one of Aalto's partner institutions. Macadamia students have also the opportunity to take their second-year studies at EURECOM, France, and complete a double degree graduating from both Aalto University and EURECOM. In addition, the Macadamia major co-operates closely with ELLIS, the European Laboratory for Learning and Intelligent Systems, which has some of the best academic institutions and scientists under its umbrella. Should the students want to become top researchers in the field, they have an excellent opportunity for that.

Aalto University is international by nature, welcoming thousands of degree and exchange students from abroad every year. These students join the diverse Aalto community not only through their studies, but also through multiple free time events, celebrations and extracurricular activities around the campus. Active tutoring programs and support services work hard to help international students integrate to the Nordic culture and feel at home in Finland.

Multidisciplinary opportunities

There is close collaboration in teaching and research between Aalto University and the University of Helsinki in the form of joint activities within the Finnish Center for Artificial Intelligence (FCAI). The latter brings together top talents in academia, industry and public sector to solve real-life problems using both existing and novel AI. One of the current research areas centres around the opportunities that AI creates for medicine. Excellent Macadamia students can continue their studies in the Helsinki Doctoral Education Network in Information and Communication Technology (HICT).

Students can also include multidisciplinary studies to their degree by studying a minor or optional courses from other fields. They also have the option to take courses from other Finnish universities via The Flexible Study Right Agreement (JOO).

Aalto University is well-known for bridging disciplines of business, arts, technology and science. The lively campus and freedom of choosing elective courses across the University bring students from different fields under one roof. This spontaneous multidisciplinary environment sparks new ideas, gathers enthusiasts around them and gives birth to friendships, networks, and every so often, startups.

Career opportunities

Machine learning and artificial intelligence are disrupting virtually every business in every industry. Staying on top of this revolutionary technology is imperative for organisations seeking to maintain a competitive edge. Since the demand for AI professionals outpaces the current skilled AI engineers, the graduates of this major have limitless opportunities open for them, ranging from process industry to data science. Recent spearhead application areas include:

  • bioinformatics,
  • computational astrophysics, biology, and medicine,
  • interactive technologies,
  • information retrieval,
  • information visualisation,
  • neuroinformatics, and
  • social-network analysis.

Typical entry-level job titles of recent graduates include Analyst, Analytics Engineer, Data Analyst, Data Scientist, DevOps Engineer, Machine Learning Software Engineer, PhD student, Research Assistant, Software Developer, Software Engineer. Graduates can expect to advance rapidly in their chosen career.

Examples of companies our recently graduated alumni work for: Accenture, Aureus Analytics, Discover Financial Services, Futurice, Elsevier, Jongla, Omniata Inc, Reaktor, Sanoma, Silo AI and Verto Analytics.

Our recently graduated alumni are PhD students in the following universities: Aalto University, Brown University, Carnegie Mellon University, French Institute for Research in Computer Science and Automation (Inria), Purdue University, Télécom Paris Tech, University of Bristol, University of California - Santa Cruz, University of Iowa, University of Surrey.

Aalto University has well-established career services to support students’ employment in Finland and abroad. Thanks to the flexible curriculum, many Aalto students work already during their studies and guarantee themselves entry positions before graduation. There is also a very active entrepreneurship community at Aalto, working as a springboard for founding a company.

Study-option-specific application instructions

Applicants to the programme must meet the general eligibility and language requirements that are common to all Master's programmes in the field of science and technology.

Contact information

For enquiries regarding the application process, required compulsory application documents or English language proficiency, please contact Admission Services at [email protected].

For enquiries regarding the study-option-specific application documents, doctoral track or studies in the programme, please contact Learning Services at Aalto University School of Science at [email protected].

 

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Ansökningsperioden börjar 1.12.2020 09:00 (UTC+2)

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