MSc in Data Science and AI
Chalmers University of Technology
Key Information
Campus location
Gothenburg, Sweden
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
SEK 160,000 / per year *
Application deadline
Request info
Earliest start date
Request info
* tuition fees for non-EU/EEA students
Introduction
The digital revolution has seen data science and AI become crucial elements of everyday life. Machine learning and the technologies and methodologies for processing enormous amounts of data are also creating a wealth of new opportunities. Consequently, skilled data scientists and AI engineers are in huge demand in all manner of situations. This program will offer you a solid foundation in machine learning, resulting in a fantastically wide range of options after graduation.
Data science is a highly cross-disciplinary field, using data to gain a deeper understanding and insight to support decision-making. Applications are numerous, from the natural sciences and healthcare to business and finance. Relevant computational methods include algorithms for collecting and handling large-scale data, statistical methods such as Bayesian modeling, and machine learning techniques such as deep neural networks.
AI is concerned with designing and building intelligent systems. Recent advances have brought the field to the next level, and it is currently undergoing rapid changes. Machine learning techniques within AI enable computers to perform complex tasks they have not been explicitly programmed to do — successful examples of this include machine translation, computer vision, game playing, and self-driving vehicles.
This program educates engineers to undertake a wide variety of challenges in handling and analyzing different kinds of data, using and developing software in complex data-intensive and AI-related applications. An excellent understanding of both theory and practice is required, including the possibilities and limitations of existing and evolving technologies, and how to apply these responsibly.
The program will provide a solid foundation in machine learning, statistics, and optimization, with an in-depth understanding of the mathematical modeling techniques needed to extract useful information from vast quantities of complex datasets, and the computational skills and algorithms necessary to work with them. You will also gain familiarity with a range of common problems within data science and AI which can be solved with such techniques.
You will gain an understanding of how and why certain models and algorithms work and be able to identify the opportunities and possibilities they offer, combining new and existing methods to create efficient solutions to real-world problems. You will be able to continuously learn in these rapidly evolving fields, communicating with experts and laypeople alike in specific problem domains. You will also gain the insight necessary to understand and influence the future roles of data science and AI in wider society. This program will be your ticket to a huge range of opportunities in a dynamic, thrilling, and fast-evolving field.
Career
There is a huge demand for engineers with a solid foundation in Data science and AI, and as the computational power and the amount of data available rapidly increase, the need will only continue to grow. The program will lead to a wide range of career opportunities within many different application domains, e.g. virtually every other engineering discipline, as well as within medicine and finance. You will be well equipped to pursue a career in industry or government, as well as for further doctoral studies and an academic career.
Any organization that works with the analysis of data, and/or the development of computational tools, either as their actual end product or as means for further improvement of the internal work, require both data scientists and AI engineers. Such processes are often iterative, and both data science and AI engineering skills are needed in each step:
- Data management: gathering, cleaning, transforming, and storing data
- Data analysis: identify trends, patterns, and relationships in large data sets.
- Tool development: use, develop and improve intelligent computer algorithms and tools to be robust, flexible, and scalable
- Machine learning: train and test tools and applications on relevant, clean data
- Communication: interpret, visualize and communicate important findings from the data analysis
- Decision-making: support and improve the decision-making process
General entry requirements
A Bachelor's degree in Science, Engineering, Technology, or Architecture
To fulfill the general entry requirement for a Master's program at Chalmers (at advanced level/the second cycle), the prospective student must hold a degree that is equivalent to a Swedish Bachelor's degree (minimum 3 years, 180 Swedish higher education credits) in either Science, Engineering, Technology or Architecture.
- All applicants must document their formal academic qualifications to prove their eligibility. Only documentation from internationally recognized universities will be approved by the Swedish Council for Higher Education which manages the website universityadmissions.se.
- If an applicant is also a holder of a second degree such as a Master's degree, that may be to fulfill specific (course) requirements, it cannot be used to fulfill the general entry requirement on its own.
In your final year of Bachelor's Studies
Students in their last year of studies who don't yet have documentation of their soon-to-be-completed degree can be accepted.
Restrictions
Degrees that are constructed on one another cannot consist of the same course
Applicants who fulfill the general entry requirements for the second cycle (master’s level) programs and eventually specific entry requirements can be admitted to a master’s program. Applicants cannot be evaluated as unqualified in the qualifying academic merits which include courses from the program’s plan in those programs that they have applied for if that occurs.
Courses included in an earned first cycle degree (bachelor’s level) or professional qualification of at least 180 cr. (180hp) or the equivalent foreign qualification that are prerequisites for master’s qualifications may not be included in the higher qualifications. This also applies to prerequisite courses for master’s programs, regardless of whether they are included in the underlying qualification. *
*) Local Qualifications Framework for Chalmers University of Technology - first and second cycle qualifications.
Restrictions for Citizens from the Democratic People’s Republic of Korea (North Korea)
Chalmers cannot admit applicants with citizenship of the Democratic People’s Republic of Korea only to any program or course, due to the Council Regulation (EU) 2017/1509 of 30 August 2017 concerning restrictive measures against the Democratic People's Republic of Korea and repealing Regulation (EC) 329/2007.
For applicants with double citizenship of which one is of the Democratic People's Republic of Korea and the other of another country, the citizenship of the other country has precedence in this respect.