Data Analytics in Virtual Production
In this course, you will learn how data analysis in virtual production can improve your organization's results!
About the course
Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency.
By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, s necessary to succeed with a full production analysis.
You will learn to
- Perform sensitivity analysis on different production systems using models
- Analyze and evaluate the performance of production systems
- Use artificial intelligence to model production systems
The course also gives you the knowledge to post-process the results in order to take advantage of your analyses.
The course is given with flexible start and study pace, but we recommend a study pace of 20 %, which means that the course takes about 8 calendar weeks.
Requirements
Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in Application information below.
Occasions for this course
Autumn semester 2024
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Apply for freestanding course to Data Analytics in Virtual Production to Autumn semester 2024 (part time 20%) to Data Analytics in Virtual Production to Autumn semester 2024 (part time 20%) Apply for programme course
Scope
2.5 credits
Time
2024-09-02 - 2025-01-19 (part time 20%)
Education level
First cycle
Course type
Freestanding course, Programme course
Application code
MDU-24512
Language
English
Study location
Independent of location
Teaching form
Distance learning
Number of mandatory occasions including examination: 0
Number of other physical occasions: 0Course syllabus & literature
See course plan and literature list (PPU320)Specific requirements
60 credits in mechanical engineering, production engineering, product and process development, computer engineering and/or computer science or equivalent or 40 credits in engineering/technology and at least 2 years of work experience in full-time from a relevant area within industry.
Selection
Work experience/university credits
-
Scope
2.5 credits
Time
2024-11-11 - 2025-01-19 (part time 20%)
Education level
First cycle
Course type
Freestanding course
Application code
MDU-24611
Language
English
Study location
Skellefteå
Teaching form
Distance learning
Number of mandatory occasions including examination: 1
Number of other physical occasions: 1Course syllabus & literature
See course plan and literature list (PPU320)Specific requirements
60 credits in mechanical engineering, production engineering, product and process development, computer engineering and/or computer science or equivalent or 40 credits in engineering/technology and at least 2 years of work experience in full-time from a relevant area within industry.
Selection
Work experience/university credits
Questions about the course?
If you have any questions about the course, please contact the Course Coordinator.
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 can validate work experience to determine whether you have the qualifications 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, 45.5 kB, opens in new window.
• Download a template for Employers certificate Word, 38 kB, opens in new window.
If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se