Degree Programme in Data Analytics

Degree Programme in Data Analytics
Bachelor of Business Administration, 210 ECTS

tradenomi (AMK), Bachelor of Business Administration

Programme
Curricula
Implementations

Academic year 2021 - 2022

Data acquisition 2 DA00DW97-3001 30.08.2021-31.12.2021 5 credits (DAKV20SP) +-
Learning outcomes of the course

You can collect data from business databases for analysing.
You can describe a relational database.
You can collect data from social media.

Prerequisites and co-requisites

Data acquisition1, Data analysing 1, Visualization and communication 1.

Course contents

How to collect data from business databases?
How to use databases?
How to get data from social media platforms?

Teacher(s)

Väinö Toots

Jarkko Ansamäki

Mode of delivery

60% Face-to-face, 40% Distance learning

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV20SP
Further information for students

Opintojakson tiedot löytyvät opintojaksolta Data analyysi 2 (not translated)

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

R&D proportion

2 credits

Virtual proportion

2 credits

Evaluation scale

1-5
Visualization and communication 2 DA00DW98-3001 30.08.2021-31.12.2021 5 credits (DAKV20SP) +-
Learning outcomes of the course

You can communicate in a goal-oriented way.
You can visualize and communicate the results of a data analysis.
You can justify your observations and suggestions.

Prerequisites and co-requisites

Data acquisition1, Data analysing 1, Visualization and communication 1.

Course contents

Effective communication.
Infographics.

Teacher(s)

Juuso Koponen

Nina Hartikainen

Mode of delivery

Face-to-face

Recommended or required reading

Web materials

Planned learning activities and teaching methods

Individual learning tracks should always be discussed with the lecturers

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV20SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 cr = 27 hours work
ICT tools LY00DT57-3018 30.08.2021-03.12.2021 5 credits (DAKV21SP) +-
Learning outcomes of the course

You are able to use suitable ICT applications individually and in teams. You are able to compose documents, presentation graphics and spreadsheets. You are able to work in compliance with information security regulations.

Course contents

What ICT applications are commonly used during studies and at work? How to produce documents, presentations and spreadsheets with IT applications? What is information security and how to comply with it during studies and at work?

Teacher(s)

Sanna Kokkonen

Väinö Toots

Mode of delivery

Face-to-face

Recommended or required reading

Web materials

Planned learning activities and teaching methods

Individual learning tracks can be discussed about with the lecturer

Assessment methods and criteria

Evaluation according given exercises and projects.

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 03.12.2021

Enrollment date

23.08.2021 - 29.08.2021
- 5 credits
Group(s)
- DAKV21SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 cr = 27 hours work
Customer-oriented marketing LT00AA93-3061 01.01.2022-01.05.2022 5 credits (DAKV21SP) +-
Learning outcomes of the course

You are able to describe the aspects of customer-oriented marketing concepts, including its objectives and functions. You are able to analyse customer buying behavior and define principles for the segmentation and selection of target groups. You are able to assess the effects of digital operational environment on customer-oriented marketing. You are able to design a marketing mix, taking into consideration product lifecycle, marketing objectives and corporate responsibility.

Course contents

What are the objectives and role of customer-oriented marketing and relationship marketing in the organizations’ operations? How does the digital economy and operational environment affect the planning of marketing? How is customer buying behavior and segmentation taken into consideration when defining objectives and target groups? What does a marketing mix consist of, and how can it be used to reach organizational goals?

Teacher(s)

Katariina Palmu

Mode of delivery

60% Face-to-face, 40% Distance learning

Recommended or required reading

Bergström, S. ja Leppänen, A. 2016. Yrityksen asiakasmarkkinointi. Helsinki: Edita Publishing Oy
Learn-alustan materiaalit ja muu opettajan osoittama materiaali. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2022 - 01.05.2022

Enrollment date

08.11.2021 - 21.11.2021
- 5 credits
Group(s)
- DAKV21SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Virtual proportion

2 credits

Evaluation scale

1-5

Exam schedule

Opintojaksolla ei järjestetä tenttiä. (not translated)

Students use of time and load

n. 135 tuntia opiskelijan työtä jakautuu luentoihin ja itseopiskeluun (materiaalin lukeminen ja ymmärryksen syventäminen, tehtävien teko yksin ja ryhmässä). (not translated)

Content periodicity

Osa kurssin suoritusta on ryhmissä tehtävä somemarkkinointikampanja (XAMK Data-analytiikan mainostaminen yhteishaussa eri somekanavissa). (not translated)
Current issues and data impact DA00EK52-3001 01.01.2022-01.05.2022 5 credits (DAKV21SP) +-
Learning outcomes of the course

You familiarize yourself with the topics from a data perspective. You can search for hot topics and related discussions and conversations about different services. You understand how data can be used to make an impact.

Course contents

What issues have been and are being talked about? How has the conversation been affected by data? How can I search for data about interesting discussion topics to describe the topic and the data in the discussion? What does social media automation mean?

Teacher(s)

Juuso Koponen

Väinö Toots

Mode of delivery

40% Face-to-face, 60% Distance learning

Recommended or required reading

Web materials

Planned learning activities and teaching methods

Individual learning tracks should always be discussed with the lecturers

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Language of instruction

Tuition in Finnish

Timing

01.01.2022 - 01.05.2022

Enrollment date

08.11.2021 - 21.11.2021
- 5 credits
Group(s)
- DAKV21SP
Seats

20 - 40

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Virtual proportion

3 credits

Evaluation scale

1-5

Work placement(s)

The course may have assignments made for companies or assignments agreed individually with students.

Students use of time and load

1 cr = 27 hours work
BI tools DA00EK54-3001 01.01.2022-01.05.2022 5 credits (DAKV21SP) +-
Learning outcomes of the course

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Course contents

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Teacher(s)

Väinö Toots

Jarkko Ansamäki

Mode of delivery

60% Face-to-face, 40% Distance learning

Recommended or required reading

Opintojakson materiaalit Learnissa kurssilla BI-työkalut (osoite: https://learn.xamk.fi/course/view.php?id=8746 ; avain: BI ), josta löytyy ohjeet ja materiaalit opintojakson suorittamiseen. (not translated)

Planned learning activities and teaching methods

Individual learning tracks should always be discussed with the lecturers

Assessment methods and criteria

Kummankin opettajan osuus arvosanasta 50%. Opintojakson arvosana opettajien arvosanojen keskiarvona. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2022 - 01.05.2022

Enrollment date

08.11.2021 - 21.11.2021
- 5 credits
Group(s)
- DAKV21SP
Seats

20 - 40

Further information for students

Opintojaksolla tutustutaan datan analysointiin hankinnasta valmiin visualisoinnin julkaisuun. Työkaluina opintojaksolla Power BI ja Tableau. Opintojaksolla toteutetaan myös yritysprojekti opiskelijaryhmässä. (not translated)

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

R&D proportion

1 credits

Virtual proportion

2 credits

Evaluation scale

1-5

Work placement(s)

Opintojaksolla toteutetaan yrityksen tai yhteisön toimeksianto. (not translated)
Web and social media analytics DA00EK53-3001 01.01.2022-01.05.2022 5 credits (DAKV21SP) +-
Learning outcomes of the course

You understand what elements can be measured in various online services and what they might tell. You can use the analysis tools of different services to analyze traffic. You can import data from systems elsewhere for analysis. You can combine data from different sources and perform analyzes based on the combined data.

Course contents

What information is available about the users of various web services and social media? How can data be collected? In what ways can data be analyzed? What meanings are hidden behind the data stream?

Teacher(s)

Jarkko Ansamäki

Mode of delivery

Face-to-face

Recommended or required reading

Web materials

Planned learning activities and teaching methods

Individual learning tracks can be discussed about with the lecturer

Assessment methods and criteria

Evaluation according given exercises and projects.

Language of instruction

Tuition in Finnish

Timing

01.01.2022 - 01.05.2022

Enrollment date

08.11.2021 - 21.11.2021
- 5 credits
Group(s)
- DAKV21SP
Seats

20 - 40

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Evaluation scale

1-5

Work placement(s)

The course may have assignments made for companies or assignments agreed individually with students.

Students use of time and load

1 cr = 27 hours work
HR and labour law in data analytics DA00DG82-3003 10.01.2022-01.05.2022 5 credits (DAKV20SP) +-
Learning outcomes of the course

You are able to describe human resource management (HRM) as a whole and how it relates to organizations' strategies.
You can describe HRM processes and practices and assess the quality of the organizations' human resource management processes.
You are able to describe the legal aspects of HRM and the most important rights and obligations of employers and employees.

Prerequisites and co-requisites

the courses of Business and entrepreneurship and Financial accounting, or equivalent knowledge

Course contents

What are the processes of HRM (HRM strategy, human resource planning, recruitment, introduction, training, development, compensation, measurement and reporting)?
How has HRM developed and what issues are currently relevant?
What are the key labor laws that employees, employers and HRM personnel must take into account?

Teacher(s)

Pia Kaari

Kaarina Leppänen

Mode of delivery

60% Face-to-face, 40% Distance learning

Recommended or required reading

Ilmoitetaan kurssin alkaessa. (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä: osallistut lukujärjestyksen mukaiseen opetukseen. (not translated)

Assessment methods and criteria

Hyväksytysti suoritetut oppimistehtävät ja tentit. (not translated)

Language of instruction

Tuition in Finnish

Timing

10.01.2022 - 01.05.2022

Enrollment date

08.11.2021 - 21.11.2021
- 5 credits
Group(s)
- DAKV20SP
Seats

20 - 40

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Virtual proportion

2 credits

Evaluation scale

1-5

Work placement(s)

Ilmoitetaan kurssin alkaessa. (not translated)
Practical training DA00DG87-3003 02.05.2022-31.07.2022 20 credits (DAKV20SP) +-
Learning outcomes of the course

You practice the key tasks of your field under guidance.
You apply theoretical knowledge in practice.
You develop your capability of independent and effective working.
You are able to complete tasks in your field of specialization.

Course contents

You find a training place suitable for your specialization.
You carry out assignments related to the field of business data analytics and visualisation during the training period.
You report on the training according to instructions.

Teacher(s)

Jarkko Ansamäki

Mode of delivery

Face-to-face

Recommended or required reading

-

Planned learning activities and teaching methods

Each training is individual

Language of instruction

Tuition in Finnish

Timing

02.05.2022 - 31.07.2022

Enrollment date

14.03.2022 - 31.03.2022
- 20 credits
Group(s)
- DAKV20SP
Seats

1 - 40

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Evaluation scale

Approved/Failed

Work placement(s)

The internship is practical training

Exam schedule

-

International connections

The internship can also be completed abroad

Students use of time and load

Training workloads:
Basic internship 10 credits, approx. 7 working weeks / 263 h
Advanced training 20 credits, approx. 13 working weeks / 488 h.

Academic year 2022 - 2023

Professional Swedish KY00DS46-3084 01.11.2022-31.01.2023 5 credits (DAKV21SP) +-
Learning outcomes of the course

You are able to communicate in spoken and written situations in your own field.
You are familiar with the terminology of your field and able to communicate in Swedish in professional situations.

The objectives are based on the Common European Framework of Languages, level B1 and Government Decree 1129/2014.

After completing the course with the grade of 3, you are able to:
- understand clear standard and work-related speech.
- use basic structures reasonably well both in spoken and written situations.
- speak relatively fluently so that occasional mistakes in pronunciation or prosody do not lead to misunderstanding.
- describe your education and work experience for example when applying for a job.
- describe and discuss key issues of your professional field (eg. the operation, products, processes or services of companies and/or organizations).

Prerequisites and co-requisites

If you have been instructed to participate in the Intensive course in Swedish, you must complete it or independently acquire the equivalent knowledge and skills before you can participate in this course.

Course contents

How do you use Swedish vocabulary related to education, work environment and workplace duties?
How do you use Swedish in different communicative situations of working life, for example in emails, telephoning and meetings?
How do you use the basic professional vocabulary required in your field and operational environment?

Name of lecturer(s)

Marja-Liisa Siren-Huhtinen

Teacher(s)

Marja-Liisa Siren-Huhtinen

Mode of delivery

Face-to-face

Recommended or required reading

opettajan määräämä materiaali, verkkomateriaali, Gå med vinst-oppikirja. (not translated)

Planned learning activities and teaching methods

sovittava opettajan kanssa erikseen (not translated)

Assessment methods and criteria

Suoritettuasi opintojakson arvosanalla 3
- ymmärrät selkeää yleiskielistä puhetta ja työelämän puheviestintää.
- käytät perusrakenteita jokseenkin virheettömästi sekä suullisessa että kirjallisessa viestinnässä.
- puhut kohtalaisen sujuvasti niin, että satunnaiset virheet ääntämisessä tai lauserytmissä eivät aiheuta väärinymmärryksiä.
- ymmärrät pääkohdat ammatillisista teksteistä ja pystyt reagoimaan niihin sekä suullisesti että kirjallisesti.
- osaat kertoa keskeiset asiat koulutuksestasi ja työkokemuksestasi esim. työnhakutilanteessa.
- osaat kertoa ja keskustella alasi keskeisimmistä asioista (esimerkiksi yritysten ja organisaatioiden toiminta, tuotteet, prosessit ja palvelut)
Tavoitetasona on eurooppalaisen viitekehyksen tasoa B1 sekä asetusta 18.12.2014/1129 vastaava osaaminen (not translated)

Language of instruction

Tuition in Finnish

Timing

01.11.2022 - 31.01.2023
- 5 credits
Group(s)
- DAKV21SP
Seats

20 - 50

Further information for students

Tutkintotodistukseen tulee erillinen merkintä ruotsin kirjallisesta ja suullisesta taidosta. Sekä kirjallisesta että suullisesta kielitaidosta annetaan arvosana 1-3 tyydyttävästä taidosta tai 4-5 hyvästä taidosta. Arviointi perustuu valtakunnallisiin suosituksiin. (not translated)

Unit, in charge

Kielet ja viestintä, Kouvola (not translated)

Programme(s)

Degree Programme in Data Analytics

Unit location

Kouvola Campus

Evaluation scale

1-5

Work placement(s)

hyödynnettävissä tarvittaessa (not translated)

Course Structure Diagram

Data analytics, full-time

Objectives

Lot of questions, only one answer

Data analytics is a unique degree program which consists of business, data analytics and communication studies. In your studies you learn how to work in a changing business environment and get skills to start a business of your own. You learn how to manage business with data and how to create new, data driven future business.

Program is based on business studies, but core competence are data processing and presentation skills. You get knowledge to new, versatile expert- and development tasks in companies and public enterprises.

You study data analytics, communication and visualization in a context consisting of projects, company collaboration, teamwork, self-studies and expert lessons. Part of studies can be in English, so it is possible to learn practical language skills in normal studies.

It is possible to study in a real business context. You learn to know different companies and their needs in a new business area. In that way you learn to understand business and produce data needed and generate new business possibilities.

Degree programme description

Degree program consists of obligatory business and data analyzation studies and optional studies. In optional studies you can take specialized studies in an interesting field. Interships and thesis are very important parts of your studies.

If you have previous skills related to degree program thru studies, work or leisure, it is possible to apply for recognition of these.

In data analytics program you become familiar with business and business development. You learn to understand which new possibilities data analytics can give for business. According your own interest you can familiarize with other business areas as well. You learn to find, edit and present data needed by companies and to develop the company thru data. You learn to understand business and find new ideas, targets and ways to enhance data.

Degree program highlights data analytics, visualization and communication professional skills combined to business. You can add to your degree also totally different subjects eg. service design or something else you are interested in.

Implementation of studies and flexible learning tracks

Normal classroom teaching at daytime consisting lessons, webinars, company and developing projects. You learn by doing, experimenting and piloting as well as listening and understanding. Lessons are mainly Finnish, but some part of studies can be in English. Material is in Finnish or in English.

Career opportunities

After BBA graduation you have possibilities to work expert-, planning- or development kind of work in companies, municipality or government corporations. You can plan, implement, organize and develop. You can be an entrepreneur as well. You get skills needed to work in international business.

Titles can be:

Customer analyst

CDO (Chief Data Officer)

Data analyst

Data Scientist

Data visualist

Digital communication specialist

Developmet chief

Business development expert

Marketing Analyst

Project manager

Marketing analyst

Data expert

Communication spesialist

RDI and cooperation with world of work

In data analytics degree program studies are closely collaborated with companies and RDI (Research, Development, Innovation). You learn to know companies and their needs in a new business area.

In South Eastern University of Applied Sciences you develop your expertise in real company collaboration. Study environments are learning projects together with students, working life representatives and teachers. In your studies you can be working with many different projects and many different organizations.