Master's Programme in Data Science – Machine Learning and Statistics

120 credits

Are you interested in immersing yourself in large amounts of data? Maybe you want to develop your knowledge to help solve some of today's societal problems. With a Master's degree in Data Science, specialising in machine learning and statistics, you'll learn how to make advanced statistical analyses and extract knowledge from big quantities of data.

Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, English

Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, English

The Master's Programme in Data Science with a specialisation in Machine Learning and Statistics will provide you with the knowledge, tools and skills to succeed in a wide range of different positions that involve the analysis of large amounts of data. This specialisation provides the general skills needed by a data scientist, as well as advanced skills in machine learning, reinforcement learning, computer-intensive statistics, and selected mathematical topics in Data Science.

During the programme, you can expect to:

  • learn how to make advanced statistical analyses,
  • gain a robust understanding of both the mathematical foundations of data science and its computational aspects,
  • work alongside internationally renowned research teams in data science,
  • delve into the ethical and legal aspects of data science.

Companies such as Netflix, Amazon and Spotify collect user data to generate relevant predictions and recommendations about what their users will enjoy in the future. To analyse data produced by large-scale scientific experiments, advanced machine learning algorithms and data engineering platforms are needed. Many authorities also strive to collect and integrate data from several different types of sensors (air quality, sound, water distribution, and such). For this, a single profession plays a pivotal role in turning information into insight: the data scientist.

Data science is one of the most sought-after competencies both in Sweden and internationally. Uppsala University also offers a rich research environment in data science, and the programme will prepare you for active participation in research projects, either as a PhD or in the industrial sector.

Student profile

You are someone with a theoretical foundation in mathematics and computer science, and curiosity about how large and complex sets of data can be utilised to solve a variety of real-life problems.

Degree

The programme leads to the degree of Master of Science (120 credits) with Data Science as the main field of study.

The programme consists of four main parts. At first, you and your fellow students may have different backgrounds, and therefore you can choose courses to complete your basic knowledge in computer science and mathematics. You can also choose to take core data science courses, for example on data ethics and law, statistical machine learning, and the theoretical foundations of data science and data engineering.

Compared with the Master's programme in Statistics and Data Science, the Master's programme in Data Science focuses on state-of-the-art methods in artificial intelligence, machine learning, and mathematical statistics. It also focuses on the design of data engineering systems supporting the analysis of very large data through high-performance and distributed computing. Ethical, legal, and application-related aspects of data science also have an important role in the programme, through dedicated courses.

From the end of the first year, you choose courses within the specialisation of machine learning and statistics covering topics such as reinforcement learning and advanced probabilistic machine learning. The programme also includes practical activities, such as a project course done at a research lab or in collaboration with students from other programmes.

You will also conduct a Master's thesis that is required to obtain the degree and you can do it at a company or research lab.

Courses within the programme

See the programme outline for courses within the specialisation.

Students are expected to participate and actively contribute to teaching sessions while also assuming responsibility for their own learning.

Instruction consists of lectures, practical assignments, seminars, and projects. A large part of the programme is spent studying on your own or in a study group outside the classroom, and as such, you must take a proactive role in structuring your own studies. In a seminar, you present your ideas and discuss with your classmates a course book or other study material that you are required to read before the seminar; while the teacher usually only moderates the discussion. The aim is to develop critical thinking and collaborative skills. All the students are expected to be active participants in all forms of discussions.

Courses will include exam forms such as written examinations, oral examinations, lab sessions and project assignments with group examinations, case studies and written assignments.

The programme is intimately tied to contemporary research, and the courses closely follow current developments in data science.

The language of instruction is English.

Data scientists can expect a strong labour market, as demand for the profession has long enjoyed strong growth. Data science is one of the most sought-after qualifications both in Sweden and internationally, and basic research in universities and academia has a large demand for data science to utilise the data generated by facilities such as SciLifeLab and MaxV. As such, you will be faced with a strong labour market upon completion of your degree.

Several independent analysts are predicting even greater demand in the field of data science, due to the ever-increasing level of automation and digitalisation. In 2017, LinkedIn published a report on new career opportunities in the US which found that the two professions enjoying the largest increase in demand were machine learning engineer and data scientist. According to IBM, the number of data science positions will increase by 39 per cent in 2020. One of the largest Swedish work unions SACO has also published a prediction for the data engineering labour market in Sweden until 2023 and it shows the demand will remain high.

If you so desire, you may also choose to remain in academia and pursue PhD studies in data science. The faculty hosts several research groups, and doctoral positions are sometimes offered.

Career support

During your time as a student, UU Careers offers support and guidance. You have the opportunity to take part in a variety of activities and events that will prepare you for your future career.

Contact

All specialisations of this programme

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