Statistical Analysis in Industrial Systems

  • Credits 2.5 credits
  • Study location Independent of location
  • $stringTranslations.StartDate 2022-10-03 - 2022-12-11 (part time 17%)
  • $stringTranslations.StartDate 2022-10-03 - 2022-12-11 (part time 17%)
  • Education level Second cycle
  • Course code DVA477
  • Main area Computer Science
  • Application code: MDU-24545

In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.

About the course

In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course first presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.An overview of the most popular statistical tools will be given. We will focus on the most powerful tool for the statistical data analysis called R, where you will learn how to use regression and ANOVA models for industrial data. Elements of probability theory and mathematical statistics will be provided as needed.

Modern industrial plants and environments measure and store all relevant production variables. In addition to observation, the data can also be obtained by experimentation.

The course provides fundamental elements of applied statistical analysis that can be used to analyse and model the data obtained from industrial plants, as well as elements of probability theory and mathematical statistics needed for a deeper understanding of methods and a reliable interpretation of the results of the analysis.

You will learn

  • to understand the common organization of industrial information systems
  • get an overview and understanding of relation database management systems and be able to do SQL queries to extract the data
  • to do relevant data manipulation and visualization for the purpose of explorative data analysis
  • mathematical understanding of the most fundamental concepts of statistics and probability theory.
  • analysis of variance (ANOVA), regression modeling, and applying statistical test to the data
  • how to correctly interpret the results of the statistical analysis.

Entry requirements

90 credits of which at least 60 credits in one or several of the subjects: Computer science, Electrical engineering, Electronics, including at least 7.5 credits in computer programming, and 7.5 credits in Single Variable Calculus. The mathematics shall include knowledge of elementary calculus: integrals, derivations, series, and sums. In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.




Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Apply to the course

Statistical Analysis in Industrial Systems

Go to application

Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

Many courses requires that you have previous academies studies, but we validate work experience to assess if you have the knowledge that is equal to the eligibility requirements for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competence Word, 28 kB, opens in new window.

Download a template for Employers certificate Word, 19.5 kB, opens in new window.

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se