Master's Programme in Industrial Analytics

120 credits

Do you want to develop the next generation of industrial systems? Would you like to gain unique expertise in both industrial engineering and computer science? Whether your background is in engineering or computer science, the Master's Programme in Industrial Analytics will provide you with the skills to raise in your career in the industry of the future.

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

Industrial systems are the foundation of our modern world. Today, society faces great challenges that drive demand for the renewal of industry through digitalisation, to improve efficiency, productivity and sustainability. Due to this, the use of data analytics and informatics for the design, analysis, optimisation and decision-making in industrial systems and processes is growing more common.

The Master's Programme in Industrial Analytics is a unique interdisciplinary programme in industrial engineering and computer science. Unlike most similar programmes, it also includes data analysis, design and optimisation of complex technical systems from a life cycle perspective.

During the programme you can expect to:

  • Gain knowledge and skills in production processes
  • Expand your skill set in an area with growing demand for qualified applicants
  • Gain an understanding of how to use operations management, operational research and computer science for the successful development and operation of modern industrial systems.

The programme also combines technology and management, which you will learn more about to be able to develop and optimise systems within various industrial domains such as manufacturing, med-tech and healthcare systems.

Industrial analytics is a subject that encompasses industrial engineering, information technology and management. The field incorporates several parts of the Industry 4.0 paradigm, an umbrella term for methods and concepts that aim to make the industries of the future smarter. Research teams at Uppsala University currently investigate subjects such as machine learning and AI, the Internet of Things, sensor systems, data simulation and analysis, image analysis and prescriptive analysis of production systems.

Student Profile

You are someone with not only a background in engineering or computer science but also a strong interest in correlated fields of technology and management. Moreover, you also have an internal drive for problem-solving and improving systems and modern industrial processes through the use of industrial analytics.


The programme leads to the degree of Master of Science (120 credits) with Industrial Engineering and Management or Computer Science as the main field of study.

The Master's Programme in Industrial Analytics comprises a set of courses that result in a Master's degree in industrial engineering or computer science. The choice between these two specialisations comes down to which courses you opt to take and are eligible for. As such, the programme has two main tracks: one oriented toward industrial engineering, and one toward computer science.

The programme intersperses industrial engineering courses with information technology courses throughout every semester. In addition, orientating and theoretical courses are combined, where methods such as digital models, simulation, optimisation, large-scale data management and data analytics, artificial intelligence and connectivity through the internet are used.

The programme concludes with a degree project of 30 credits, which can be done internally within any of the research groups of the Department at Uppsala University, or externally within the private sector.

Courses within the programme

See the programme outline for courses within the programme.

The teaching consists of lectures, practical assignments, group exercises, labs, seminars, projects and field trips. The focus is on applied knowledge for industrial applications. We make use of IT tools and software packages that are common in the industry. Proficiency in these tools will be highly useful for your future employment.

For the group exercises, you will complete them together with your classmates outside the classroom. This way, you learn from each other and you train to be a team player. In a seminar, you present your ideas and discuss e.g. a course book, or other study material that you are required to read or write before the seminar, with your classmates; while the teacher usually only moderates the discussion. All the students are expected to be active participants in all forms of discussions. The aim is to develop critical thinking and collaborative skills. Both the capabilities to work in teams and think critically will make you stand out in your career development.

The teachers in the programme are active researchers with extensive expertise in their fields. Also, close ties with the industry are ensured in the form of field trips, guest lectures and various projects, where you will meet professionals with considerable experience in system improvement, analytics and manufacturing outside the University.

As a student in the programme, you are expected to actively contribute to teaching sessions while also assuming responsibility for your own learning. 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.

The language of instruction is English.

The labour market for candidates with qualifications in industrial analytics is projected to be excellent both nationally and internationally. Technology and knowledge-intensive companies have a large need for well-trained professionals with skills in engineering and computer science who understand the possibilities that industrial analytics offer industrial system development. With qualifications in these two areas, you will be at an advantage in their hiring processes anywhere in the world.

Several reports from established organisations and companies have highlighted the demand for analytics. The reports have particularly emphasised a number of specialisations in digitalisation such as data handling, data mining, AI, machine learning, and application development, but also "softer" aspects such as production management, sales, and innovations.

Upon completion of your degree, you may choose to remain in academia and pursue a PhD degree, for instance in technical physics with a specialisation in industrial engineering or computer science. Additional PhD study subjects may also be available at Uppsala University or other universities.

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.