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Data Analytics and Artificial IntelligenceLaajuus (5 cr)

Code: YA00BR18

Credits

5 op

Teaching language

  • Finnish

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.

en
Enrollment

01.01.2025 - 31.08.2025

Timing

01.09.2025 - 15.12.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

2 op

Mode of delivery

Distance learning

Unit

KAMK Master School

Teaching languages
  • Finnish
Degree programmes
  • Master´s Degree in Responsible Business Management
Teachers
  • Taneli Rantaharju
Groups
  • AYM24S
    AYM24S
  • TTY24S
    TTY24S
  • TLY24S
    TLY24S
  • LYL24SV
    LYL24SV
  • SJY24S
    SJY24S
  • LYL24S
    LYL24S
  • ALY24S
    ALY24S
  • SYT24S
    SYT24S

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Evaluation scale

0 - 5

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Prerequisites

No Prerequisites.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.

en
Enrollment

01.01.2024 - 22.09.2024

Timing

01.10.2024 - 18.05.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

2 op

Mode of delivery

Distance learning

Unit

KAMK Master School

Teaching languages
  • Finnish
Degree programmes
  • MASTER´S DEGREE IN BUSINESS MANAGEMENT
Teachers
  • Taneli Rantaharju
Groups
  • SKY23S
    SKY23S
  • TTY23S
    TTY23S
  • SJY23S
    SJY23S
  • LYL23S
    LYL23S
  • LYL23SV
    LYL23SV
  • SYT23S
    SYT23S
  • TLY23S
    TLY23S
  • AYM23S
    AYM23S
  • ALY23S
    ALY23S

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Evaluation scale

0 - 5

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Prerequisites

No Prerequisites.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.

en
Enrollment

01.01.2023 - 22.09.2023

Timing

01.10.2023 - 19.05.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

2 op

Mode of delivery

Distance learning

Unit

Business

Teaching languages
  • Finnish
Degree programmes
  • MASTER´S DEGREE IN BUSINESS MANAGEMENT
Teachers
  • Taneli Rantaharju
Groups
  • AYM22S
    AYM22S
  • TTY22S
    TTY22S
  • SYT22S
    SYT22S
  • TLY22S
    TLY22S
  • LYL22SV
    LYL22SV
  • LYL22S
    LYL22S
  • ALY22S
    ALY22S
  • SJY22S
    SJY22S

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Evaluation scale

0 - 5

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Prerequisites

No Prerequisites.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.

en
Enrollment

02.01.2022 - 30.09.2022

Timing

01.10.2022 - 31.05.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Master’s Degree in Technology Competence Management
Teachers
  • Taneli Rantaharju
Groups
  • TTY21S
    TTY21S
  • SKY21S
    SKY21S
  • ALY21S
    ALY21S
  • SJY21S
    SJY21S
  • TLY21S
    TLY21S
  • LYL21S
    LYL21S
  • AYM21S
    AYM21S

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Evaluation scale

0 - 5

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Prerequisites

No Prerequisites.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.