Syllabus for Master's Programme in Industrial Analytics

Masterprogram i industriell analys

Entry Requirements


Academic requirements
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university.
Also required is:

  • 90 credits in mechanical engineering, industrial engineering, production engineering, automation engineering and/or computer science/information technology;
  • 5 credits in computer programming;
  • 20 credits in mathematics;
  • 5 credits in statistics and probability theory.
Language requirements
All applicants need to verify English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6"). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies.
The minimum test scores are:
  • IELTS: an overall mark of 6.5 and no section below 5.5
  • TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90
  • Cambridge: CAE, CPE
More information about English language requirements

Decisions and Guidelines

Decision to establish the education programme
This syllabus was established by the Board of the Faculty of Science and Technology on November 09, 2020 to be applied as of July 1, 2021.
The Master Programme in Industrial Analytics at Uppsala University (UFV 2019/1101) is in effect as of June 18, 2019, according to a decision by the Vice-Chancellor.

Translations
Degree of Master of Science (120 credits) is called "Masterexamen" in Swedish.

Aim

The programme aim is to offer an education that will prepare students for a successful professional career in the field of Industrial Analytics. The programme courses will impart knowledge, insight and skills in a field that is highly demanded by both industry and society. The Master's programme in industrial analytics is a unique interdisciplinary programme in industrial engineering and computer science. Unlike most industrial engineering programmes, it also includes data analysis, design and optimisation of complex technical systems with a life cycle perspective.

As a student in the programme, you can expect to gain a comprehensive understanding of how to analyse, develop and optimise production systems within different industrial domains through knowledge and skills in the possibilities and requirements that production processes offers respective sets, as well as the methods and solutions that computer science provides.

Learning Outcomes

Objectives of the Degree
The Swedish Higher Education Act
The Swedish Higher Education Act contains provisions about the higher education institutions that are accountable to the Government.

Degree of Master (120 credits) [Masterexamen]
The Higher Education Ordinance
According to the Higher Education Ordinance the Degree of Master (120 credits) has the following learning objectives

Knowledge and understanding
For a Degree of Master (120 credits) the student shall:

  • demonstrate knowledge and understanding in the main field of study, including both broad knowledge of the field and a considerable degree of specialised knowledge in certain areas of the field as well as insight into current research and development work, and
  • demonstrate specialised methodological knowledge in the main field of study.
Competence and skills
For a Degree of Master (120 credits) the student shall:
  • demonstrate the ability to critically and systematically integrate knowledge and analyse, assess and deal with complex phenomena, issues and situations even with limited information
  • demonstrate the ability to identify and formulate issues critically, autonomously and creatively as well as to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames and so contribute to the formation of knowledge as well as the ability to evaluate this work
  • demonstrate the ability in speech and writing both nationally and internationally to clearly report and discuss his or her conclusions and the knowledge and arguments on which they are based in dialogue with different audiences, and
  • demonstrate the skills required for participation in research and development work or autonomous employment in some other qualified capacity.
Judgement and approach
For a Degree of Master (120 credits) the student shall:
  • demonstrate the ability to make assessments in the main field of study informed by relevant disciplinary, social and ethical issues and also to demonstrate awareness of ethical aspects of research and development work
  • demonstrate insight into the possibilities and limitations of research, its role in society and the responsibility of the individual for how it is used, and
  • demonstrate the ability to identify the personal need for further knowledge and take responsibility for his or her ongoing learning.

Layout of the Programme

Description of the programme
General description of the Master programmes in technology

The Master programmes in technology at Uppsala University are coherent two-year programmes. The programmes contain recommended courses of study to assure the quality of the degree, presenting students with a choice of courses closely aligned with the learning objectives of the Higher Education Ordinance. There are also designated elective courses with opportunities for specialisation through successive selections of courses. The programme ends with a degree project.
Each academic year is divided into four study periods, two during the autumn semester and two during the spring semester.

Second-cycle courses involve a considerable amount of independent work and responsibility for one's own learning. This results in increased depth and complexity within the main field of study. It also leads to students acquiring the ability to communicate in English, both orally and in writing.

Description of the Master Programme in Industrial Analytics at Uppsala University
Industrial Analytics is an interdisciplinary subject that encompasses industrial engineering, computer science and management. The programme comprises a set of courses that result in a Master's degree in industrial engineering or computer science. The choice between these two specialisations depends on which courses the student chose to take and is eligible for. Furthermore, there are opportunities to deepen the skills in selected sub-areas and the programme has two main tracks: one oriented toward industrial engineering, and one toward computer science. The first study periods in the programme serves to ensure a common ground for all students through introducing suitable bridging courses.

The programme combines industrial engineering courses with computer science courses throughout every semester. In addition, methods such as digital models, simulation, optimisation, large-scale data management and data analytics, artificial intelligence and connectivity through the internet are used with the aim to analyse, develop and optimise industrial systems, processes and products with a life cycle perspective. One of the strengths of the programme lies in the combined application of industrial engineering and computer science where the student gain knowledge and skills from the possibilities and requirements originating and the methods and solutions that computer science offers.

The programme courses
Study plan

The following in-depth levels are used for the courses in the study plan:

G1N first cycle, has only upper-secondary level entry requirements
G1F first cycle, has less than 60 credits in first-cycle course/s as entry requirements
G1E first cycle, contains specially designed degree project for Higher Education Diploma
G2F first cycle, has at least 60 credits in first-cycle course/s as entry requirements
G2E first cycle, has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science

A1N second cycle, has only first-cycle course/s as entry requirements
A1F second cycle, has second-cycle course/s as entry requirements
A1E second cycle, contains degree project for Master of Arts/Master of Science (60 credits)
A2E second cycle, contains degree project for Master of Arts/Master of Science (120 credits)

GXX first cycle, in-depth level of the course cannot be classified
AXX second cycle, in-depth level of the course cannot be classified

Main fields of study
The Main Field of Industrial Engineering (first-cycle and second-cycle)
The main field of Industrial Engineering is multidisciplinary and combines expertise in technology with issues concerning organisation and management, innovation processes, and entrepreneurial activities.

A course can and should be classified as belonging to the main field of Industrial Engineering if mostly dealing with at least one of the following areas:

  • Methods for the development, construction, commissioning, validation, use or maintenance of technical systems within the selected subject area or equivalent for components in such systems.
  • Technology-based business development. This includes e.g. entrepreneurship and market analysis but also courses in product development
  • Methods for the efficient organisation of processes involved in the implementation of the operations stated above. Examples of courses within this category are industrial engineering, production management, industrialisation, quality and environmental engineering and project management.
The Main Field of Computer Science within the programme
One of the two profiles of the programme leads to a Master of Science degree in Computer Science as the main field. The field within Computer Science that the programme focus on is:
  • Large-scale data management and data analytics as well as cloud-based storage environments.
  • Data mining of large data sets and classification and analysis methods.
  • Statistical methods for machine learning, neural nets and deep learning.
Degree project
Common guidelines and instructions for degree projects apply to all programmes in technology at Uppsala University. Forms and instructions for students are available on the Faculty website http://www.teknat.uu.se/student.

Degree

The vice-chancellor issues on request a Master of Science degree in Industrial Engineering as main field, alternatively a Master of Science degree in Computer Science as main field.

In order to be entitled to a Master's degree, you have to hold a Bachelor's degree, equivalent to a Swedish "Kandidatexamen", from an internationally recognised university.

Master's degree, 120 credits (Master of Science)
In order to be entitle to a Master of Science (120 credits) the following requirements have to be fulfilled: Finished courses at the second cycle totalling 120 credits (two years of full time studies). Of the courses included 30 credits maximum is allowed to be at first cycle. However, courses already included in the underlying first cycle degree (i.e. Bachelor's degree) can not be included. In addition to this, a main field of study of at least 60 credits at second cycle, including a degree project of 30 credits minimum, is required.

Other Directives

Admission to a later part of the programme
Admission to a later part of a Master programme in technology normally requires at least 15 credits from relevant second-cycle courses, in addition to a Bachelor's degree, having been approved by the time of application. Application to a later part of the programme should be submitted no later than May 1 for the autumn semester and no later than December 1 for the spring semester.

Grading system and assessment
The form of assessment and the grading system are shown in the course syllabus. Information about exam registrations are available at the virtual learning environment (this does not apply to exams at other higher education institutions than Uppsala University).
For more regulations see "Guidelines on working conditions for first- and second-cycle students at Uppsala University" as of 2017-07-01.

Inclusion of course credits towards a Master of Science degree
Some courses may not be included in the same degree, due to content overlap. The course content is shown in each course syllabus and the Graduation Office decides which courses may be included in the degree.

Syllabus(es)