Data Analyst

Discover how to gather, analyse and draw relevant conclusions from data to support decision makers in making better, smarter business decisions.

Overview

Meet industry needs today and tomorrow

The Data Analyst program is designed to help you learn to gather, analyse and draw relevant conclusions from data. You will discover how to support decision makers in making better, smarter business decisions. You will explore where valuable data can be sourced, both in internal and external systems, and will be challenged to draw insights from – and critically assess – hard data.

The content of this program has been designed to meet the needs of today’s industry and is delivered by experienced professionals. You’ll be challenged to create solutions to real-world problems through idea generation and business transformation.

Study mode
Full time, 80 weeks (2 years), of which 27 weeks are an industry placement.
Location: Hyper Island campus in Stockholm, Sweden.
The course is delivered in English.

Methodology

Hyper Island methodology focuses on the ‘why’ as much as the ‘how’ and the ‘what’. We emphasize team collaboration over individual effort and we encourage students to grow both personally and professionally.

At Hyper Island, we strive to create learning experiences that reflect real-world workplaces, where you learn while working with real clients, coached by industry professionals. You will share knowledge with other students as well as learning on your own. Our program leaders will introduce new ways of thinking and learning for students to develop into lifelong learners.

You will discover how to use learning-by-doing and reflection as active learning tools. Through regular feedback you will practice self-leadership, enhancing your ability to work effectively both as a team member and leader. You’ll learn to create and run effective teams, navigate group dynamics and develop your skills in project management and leadership.

Your diploma 
This program is accredited by the Swedish National Agency for Higher Vocational Education (Myndigheten för Yrkeshögskola). Graduates receive a diploma in Higher Vocational Education (HVE). International students graduating from the program receive a non-accredited diploma of successful completion from Hyper Island.

Requirements

Successful applicants need to have a high school diploma (“Gymnasieexamen”) or foreign equivalent as well as the Swedish Highschool course “Math 2” or equivalent knowledge gained from high school, higher education, or through previous practical experience.

Nordic student? No program fee
It is possible to apply for one of the government-funded seats available each year if you have legal residency (regardless of nationality or citizenship) in Sweden, Norway, Denmark, Finland, Iceland or Faroe Islands. To be recognized as a Nordic applicant, you need to have a legal residency in one of the above mentioned countries and a personal ID number from any of the Nordic countries at the time of your application.

International students
For international and fee-paying students the program fee is 205,000 SEK.

Program courses

What you will learn

PROJECT 1 - Foundation Weeks

Introduction to a number of tools that will support the continuation of all other projects and courses of the program. Tools about personal development, group development, leadership and idea development are introduced and worked within a practical manner. Current global and emerging trends in the digital industry are explored.

PROJECT 2 - ​Data​ ​Landscape

What is the landscape of data, and how is it connected to business?
In this project the students will get a crash course of the broad aspects of business and how data and technology are transforming the way business is being done. The students should explore data strategy and tactics in a business environment driven by measurability and iteration. 

PROJECT 3 - ​Tools and programming languages

Students learn the basics of a number of tools and programming languages ​​to extract and process data from databases and other data sources. Included in this project is an introduction to statistics that covers descriptive statistics, A / B Test analysis models and basic probability theory. In addition we will cover data collection, statistical surveys and decision theory. An overview of the programming languages R and Python are introduced.

PROJECT 4 - ​ ​Data wrangling and data visualization

Data Wrangling includes data cleaning, blending, transforming, formatting relational databases (SQL). Students will also familiarize themselves with data visualization tools (like Tableau). Many companies use data visualization programs to build dashboards to measure different key figures and students will learn to present data in compelling ways.

PROJECT 5 - Mathematics for statistical applications & SQL

The students will dive deeper into the underlying mathematics needed to understand and work successfully with statistical applications to master data analysis on a more advanced level. Students will also learn the basics of SQL covering functions, manipulation of data, and data modeling.

In the second semester, the students will deepen their knowledge of strategically working with digital data and developing themselves deeper within surrounding industries.

PROJECT 6 - Presenting with Data

In this project, students deepen their knowledge of how to analyze and draw conclusions from data and how to create effective presentations, including data visualization adapted to the audience. Behavioral economics and how they can be applied to shape the design to increase conversion will be explored as well as how to form design hypotheses and measure their validity. Understanding visual aids and communication to control what the effect of communication becomes in order to be able to present and convince with data is also included.

PROJECT 7 - Business Intelligence solutions

Business intelligence software is designed to help companies make strategic business decisions based on hard data and can automate much of the retrieval, analysis, and reporting process. An overview of different business intelligence solutions will be explored: Tableau, PowerBI, QlikSence or similar.

Programming languages ​​for data analysis, such as R , Python or Matlab help data professionals extract insights and value from data. In this course students will explore a selection of programming tools and be able to specialize further in one of their choosing.

PROJECT 8 - Statistical theory

Statistical theory will be explored further in-depth focusing on applied statistical methods such as regression analysis, hypothesis tests and significance tests in a business environment.
Planning and implementation of statistical surveys will also be covered including for example question formulation and survey design.

PROJECT 9 - Experiment design & Data intuition

The core of this project is to explore different forms of experiment design such as A B tests and SMART experiments. The students will be responsible for all aspects of creating a statistical survey in the best way and use experiments to create insights and support for data analysis while being challenged in their team development and leadership knowledge, skills and competencies.
The section on data intuition allows for students to learn to ask the right questions and understand the driving forces behind certain data issues as well as understand varying industries differences and commonalities.

PROJECT 10 - Data driven organisations & Data trends

Students will explore how to set up an organization or team to become data driven. Examples of such activities include:
– Setting goals and identifying KPIs to drive a business strategy
– Facilitate workshops to explore challenges and opportunities
– Develop and / or verify business ideas using data

Current trends in data analysis
As of 2018, there are 2.5 quintillion bytes of data produced every day, with over 90% of the world’s data generated in the past two years alone. Here students can explore a variation of current trends such as geographical data, data from mobile applications, AI and machine learning.

PROJECT 11 - Individual Project

The student will drive a project of their own choosing and turn their ideas into reality. During this project, the student will use the abilities they have learned so far to practice, deepen, and show their understanding of data analysis.
The students specialize within a certain own chosen area of ​​study by:
– Working on analyzing a business activity based on observations and collecting user data.
– Propose strategic development, direction and appropriate efforts for a business based on data and analytical work
– Explore the theories behind organizational development and change management to be able to connect it to practical execution.

PROJECT 12 - Internship 27 weeks

The industry placement will provide students with opportunities to develop a deeper understanding of their field of specialization by being in a professional environment under the guidance of industry professionals. In the last week of placement, all students gather at school and focus on presenting and sharing gained knowledge, skills and competence as well as evaluating their full learning journey of the program.
By being in a professional context during the supervision of the professional experience, the students have the opportunity to develop a deeper understanding of the digital role’s strategic
role in the business world and can build on their acquired knowledge and skills against an expected professional role in relation to digital data.

*The Curriculum may be subject to change

Career & Key skills

Careers

By the time you graduated from the Data Analyst program, you will have studied ways to identify, analyse and present statistical data with common statistical methods and tools. You will be able to apply knowledge about tools and techniques within statistical and data analysis to process data, suggest changes to a company or client’s business and communication strategy based on analysis of data, and be able to make clear important insights about an operation or activity through analysis of data.

Graduates go on to work in business, service- and product development, project management, technology, web startups and creative agencies. This program is built on current market needs. You’ll have a great experience and will be well-positioned to find a job when you are done. Several companies have committed to hiring students from this program for roles such as:

  • Data Analyst
  • Digital Data Strategist
  • Marketing Specialist
  • Conversion Specialist
  • Marketing Strategist
Stockholm campus

Campus

Our biggest school and the global head office is located in Stockholm, in Ericsson’s old factories that have turned into a post-industrial design center in Telefonplan. Every year the school welcomes over 320 full-time students in 7 different programs.