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Professional Edge (5 cr)

Code: LY00FE00-3001

General information


Enrollment
10.11.2023 - 07.01.2024
Registration for the implementation has ended.
Timing
08.01.2024 - 30.06.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Online
Unit
(2019-2024) School of Business
Campus
Leiritie 1
Teaching languages
English
Seats
20 - 35
Degree programmes
Master's Degree Programme in Business Informatics (Technology, Communication and Transport)
Master's Degree Programme in Business Informatics (Social Sciences, Business and Administration)
Teachers
Zinaida Grabovskaia
Teacher in charge
Zinaida Grabovskaia
Groups
L0423S6_1
Master's Degree Programme in Business Informatics ylempi, liiketalous
L0423S6_2
Master's Degree Programme in Business Informatics ylempi, liiketalous
Course
LY00FE00
No reservations found for implementation LY00FE00-3001!

Objective

Modern business professionals are primarily domain experts, and not necessarily experienced data analysts or advanced business analysts. But they add business analytics expertise and innovative thinking to their core professional competences. In this way, companies are able to gain best competitive advantage utilizing the deep existing subject matter expertise of their workforce, and strengthened it with the knowledge of modern business analytics tools and information systems, as well as opening up the innovative mindset of their employees. This course helps to expand the horizons of the student by advancing his/her professional competence via implementing a selected method of professional development and focusing on expanding own area of expertise in the way agreed with the instructor/programme.

Content

- Focused on advancing innovation mindset & business analytics skills.

Assignments include: a selected method of advancing, implementing, and demonstrating the acquired competence. The student will take responsibility for learning and deepening one's own competence in the pre-defined way, in the field of business analytics and innovation, by applying self-learning, practicing, and utilizing available materials and offerings (e.g. a study trip and/or certification). Student will demonstrate own learning with documented evidence and/or via other assignments.

Location and time

1.1.2024 - 23.6.2024, ONLINE

Materials

BI programme has offered ”Power BI” Data Analysis PL-300 self-study course (based on the ”Learning Community of Power BI”) and a related certification (with access until 24.6.2024, end of this academic year).

Teaching methods

”Professional Edge” course is focused on advancing innovation mindset & professional skills / business analytics skills.

This course aims to develop & recognize professional competences in the Master´s students in Business Informatics that help to advance the students´ expertise/substance areas and careers.

Modern business professionals are primarily domain experts, and not necessarily experienced data analysts or advanced business analysts. But they add business analytics expertise and innovative thinking to their core professional competences. In this way, companies are able to gain best competitive advantage utilizing the deep existing subject matter expertise of their workforce, and strengthened it with the knowledge of modern business analytics tools and information systems, as well as opening up the innovative mindset of their employees. This course helps to expand the horizons of the student by advancing his/her professional competence via implementing a selected method of professional development and focusing on expanding own area of expertise in the way agreed with the instructor/programme.

Assignments include: a selected method of advancing, implementing, and demonstrating the acquired competence. The student will take responsibility for learning and deepening one's own competence in the pre-defined way, in the field of business analytics and/or innovation and/or otherwise advancing related professional skills, by applying self-learning, practicing, and utilizing available materials and offerings (and/or certification that will require at least 120 hours for acquiring (the size of a ”normal” course). Student will demonstrate own learning with documented evidence and/or via other assignments.

For this end, BI programme in the academic year 2023-24, has offered ”Power BI” Data Analysis PL-300 self-study course (based on the ”Learning Community of Power BI”) and a related certification (with access until 23.6.2024, end of this academic year).

Completion alternatives

RPL, Recognition of Prior Learning: as in any other course, RPL is possible in case of documented evidence of the earlier developed related core skills (for example, other business analytics courses or relevant certifications). See the description above of the areas that will fit for RPL

Student workload

5 ECTS (appx. 127 hours of work, including online guidance (optional), doing assignments, readings, and self-work, with a strong stress on self-work).

Further information

The language of tuition is English.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Assessment criteria, good (3)

Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.

Assessment criteria, excellent (5)

Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Assessment criteria, approved/failed

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Assessment methods and criteria

Assessment criteria, satisfactory (1)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Assessment criteria, good (3)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.

Assessment criteria, Excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Assessment criteria, Approved/Failed
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Qualifications

Completed Higher Education Degree.

Further information

The language of tuition is English.

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