Data analytics, part-time: DAKV22SM
Code: DAKV22SM
Objective
You understand the potential of data utilization in business
You know how to act responsibly and with sustainable development in mind
You can retrieve and edit data from a variety of sources
You will be able to work on different projects and choose the right tools and methods for the task
You know how to work as a member of a development team communicating with different people
You can create visual and achievable visualizations and reports
Select timing, structure or classification view
Show study timings by semester, study year or period
| Code | Name | Credits (cr) | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | Autumn 2022 | Spring 2023 | Autumn 2023 | Spring 2024 | Autumn 2024 | Spring 2025 | Autumn 2025 | 1. / 2022 | 2. / 2023 | 3. / 2023 | 1. / 2023 | 2. / 2024 | 3. / 2024 | 1. / 2024 | 2. / 2025 | 3. / 2025 | 1. / 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DAKV22SM-1001 |
CORE COMPETENCE
(Choose all ) |
100 | |||||||||||||||||||||
| DAKV22SM-1002 |
Basics of data entrepreneurship
(Choose all ) |
15 | |||||||||||||||||||||
| LT00AA91 | Business and entrepreneurship | 5 | |||||||||||||||||||||
| DA00EK51 | Introduction to data analytics | 5 | |||||||||||||||||||||
| KY00DS51 | Finnish communication skills | 5 | |||||||||||||||||||||
| DAKV22SM-1003 |
Business support
(Choose all ) |
15 | |||||||||||||||||||||
| LT00DW02 | International business | 5 | |||||||||||||||||||||
| KY00DS63 | Study and career planning | 5 | |||||||||||||||||||||
| KY00DS46 | Professional Swedish | 5 | |||||||||||||||||||||
| DAKV22SM-1004 |
Basic skills for data analytics
(Choose all ) |
15 | |||||||||||||||||||||
| KY00DS47 | Professional English | 5 | |||||||||||||||||||||
| DA00DG79 | Mathematics in data analytics | 5 | |||||||||||||||||||||
| LY00DT57 | ICT tools | 5 | |||||||||||||||||||||
| DAKV22SM-1005 |
Support for data analytics
(Choose all ) |
15 | |||||||||||||||||||||
| DA00DG81 | Law in data analytics | 5 | |||||||||||||||||||||
| LT00AB04 | Human resource management and labour law | 5 | |||||||||||||||||||||
| DA00DG83 | Communication in data analytics | 5 | |||||||||||||||||||||
| DAKV22SM-1006 |
Methods for data analytics
(Choose all ) |
15 | |||||||||||||||||||||
| LT00AA93 | Customer-oriented marketing | 5 | |||||||||||||||||||||
| DA00EK90 | Project skills | 5 | |||||||||||||||||||||
| MO00DS25 | Research and development skills | 5 | |||||||||||||||||||||
| DAKV22SM-1007 |
Practical training
(Choose all ) |
10 | |||||||||||||||||||||
| DA00DG86 | Practical training | 10 | |||||||||||||||||||||
| DAKV22SM-1008 |
Bachelor's thesis
(Choose all ) |
15 | |||||||||||||||||||||
| OP00AA43 | Bachelor’s thesis: idea and planning | 5 | |||||||||||||||||||||
| OP00AA44 | Bachelor’s thesis: implementation | 5 | |||||||||||||||||||||
| OP00AA45 | Bachelor’s thesis: reporting, assessment and presentation | 5 | |||||||||||||||||||||
| DAKV22SM-1009 |
COMPLEMENTARY COMPETENCE
(Choose ects: 110) |
110 | |||||||||||||||||||||
| DAKV22SM-1010 |
Data and society
(Choose all ) |
15 | |||||||||||||||||||||
| DA00EK52 | Current issues and data impact | 5 | |||||||||||||||||||||
| DA00EK53 | Web and social media analytics | 5 | |||||||||||||||||||||
| DA00EK54 | BI tools | 5 | |||||||||||||||||||||
| DAKV22SM-1011 |
Company data
(Choose all ) |
15 | |||||||||||||||||||||
| DA00EK55 | Business metrics | 5 | |||||||||||||||||||||
| DA00EK56 | Internal company data | 5 | |||||||||||||||||||||
| DA00EK57 | Databases | 5 | |||||||||||||||||||||
| DAKV22SM-1012 |
Data science
(Choose all ) |
15 | |||||||||||||||||||||
| DA00EK58 | Machine learning | 5 | |||||||||||||||||||||
| DA00EK59 | Statistical methods | 5 | |||||||||||||||||||||
| DA00EW52 | Qualitative data analysis | 5 | |||||||||||||||||||||
| DAKV22SM-1013 |
Data-based decision making
(Choose all ) |
15 | |||||||||||||||||||||
| DA00EK61 | Knowledge management | 5 | |||||||||||||||||||||
| DA00EK62 | Predictive analytics | 5 | |||||||||||||||||||||
| DA00EK63 | Information design | 5 | |||||||||||||||||||||
| DAKV22SM-1014 |
Practical training
(Choose all ) |
20 | |||||||||||||||||||||
| DA00DG87 | Practical training | 20 | |||||||||||||||||||||
| DAKV22SM-1015 |
Optional studies
(Choose ects: 30) |
30 | |||||||||||||||||||||
| Total | 210 | 72 | 77 | 31 | 0 | 31 | 41 | 26 | 51 | 16 | 15 | 0 | 31 | 28.5 | 12.5 | 26 | 28.5 | 22.5 | 16 | 15 | 0 | 0 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
bachelor level
decree 1129/2014 §2
| Code | Name | Credits (cr) |
|---|---|---|
| DAKV22SM-1001 |
CORE COMPETENCE
(Choose all) |
100 |
| DAKV22SM-1002 |
Basics of data entrepreneurship
(Choose all) |
15 |
| LT00AA91 | Business and entrepreneurship | 5 |
| DA00EK51 | Introduction to data analytics | 5 |
| KY00DS51 | Finnish communication skills | 5 |
| DAKV22SM-1003 |
Business support
(Choose all) |
15 |
| LT00DW02 | International business | 5 |
| KY00DS63 | Study and career planning | 5 |
| KY00DS46 | Professional Swedish | 5 |
| DAKV22SM-1004 |
Basic skills for data analytics
(Choose all) |
15 |
| KY00DS47 | Professional English | 5 |
| DA00DG79 | Mathematics in data analytics | 5 |
| LY00DT57 | ICT tools | 5 |
| DAKV22SM-1005 |
Support for data analytics
(Choose all) |
15 |
| DA00DG81 | Law in data analytics | 5 |
| LT00AB04 | Human resource management and labour law | 5 |
| DA00DG83 | Communication in data analytics | 5 |
| DAKV22SM-1006 |
Methods for data analytics
(Choose all) |
15 |
| LT00AA93 | Customer-oriented marketing | 5 |
| DA00EK90 | Project skills | 5 |
| MO00DS25 | Research and development skills | 5 |
| DAKV22SM-1007 |
Practical training
(Choose all) |
10 |
| DA00DG86 | Practical training | 10 |
| DAKV22SM-1008 |
Bachelor's thesis
(Choose all) |
15 |
| OP00AA43 | Bachelor’s thesis: idea and planning | 5 |
| OP00AA44 | Bachelor’s thesis: implementation | 5 |
| OP00AA45 | Bachelor’s thesis: reporting, assessment and presentation | 5 |
| DAKV22SM-1009 |
COMPLEMENTARY COMPETENCE
(Choose ects: 110) |
110 |
| DAKV22SM-1010 |
Data and society
(Choose all) |
15 |
| DA00EK52 | Current issues and data impact | 5 |
| DA00EK53 | Web and social media analytics | 5 |
| DA00EK54 | BI tools | 5 |
| DAKV22SM-1011 |
Company data
(Choose all) |
15 |
| DA00EK55 | Business metrics | 5 |
| DA00EK56 | Internal company data | 5 |
| DA00EK57 | Databases | 5 |
| DAKV22SM-1012 |
Data science
(Choose all) |
15 |
| DA00EK58 | Machine learning | 5 |
| DA00EK59 | Statistical methods | 5 |
| DA00EW52 | Qualitative data analysis | 5 |
| DAKV22SM-1013 |
Data-based decision making
(Choose all) |
15 |
| DA00EK61 | Knowledge management | 5 |
| DA00EK62 | Predictive analytics | 5 |
| DA00EK63 | Information design | 5 |
| DAKV22SM-1014 |
Practical training
(Choose all) |
20 |
| DA00DG87 | Practical training | 20 |
| DAKV22SM-1015 |
Optional studies
(Choose ects: 30) |
30 |