NorthVoy is a free academic guidance tool for high school students. It uses a structured 9-question questionnaire to match students with their ideal university major, career paths, and universities across 20+ countries.

How does NorthVoy work?

Answer questions about your subjects, interests, strengths, work style, and goals. NorthVoy's scoring engine evaluates your answers across 9 personality dimensions and ranks the best-fit majors from a list of 30+ academic fields. Results include career paths, skill breakdowns, university suggestions, and a 12-month action plan.

What is the difference between the Quick Quiz and the Detailed Analysis?

The Quick Quiz takes about 5 minutes (9 questions) and gives you an instant first read on your best-fit majors. The Detailed Analysis takes about 12 minutes (24 questions) and adds a 16-statement personality profile plus real-life scenario questions, producing more detailed, better-differentiated recommendations. Both are free and cover all 30+ majors.

Is NorthVoy free to use?

Yes. NorthVoy is completely free. No registration is required to take the quiz and see your results. You can optionally create a free account to save your results and track your applications.

How long does the NorthVoy quiz take?

The quiz takes approximately 5 minutes. There are 9 questions covering your academic interests, strengths, work style, learning approach, and career goals.

What university majors does NorthVoy cover?

NorthVoy covers 30+ university majors including Computer Science, AI & Robotics, Business, Medicine, Dentistry, Veterinary Medicine, Engineering (Mechanical, Electrical, Aerospace), Creative Arts, Music, Environmental Science, Psychology, Law, Data Science, Biotechnology, Physics, Education, Finance, Architecture, Pharmacy, Sports Science, Hospitality, Media Studies, International Relations, Cybersecurity, Game Design, Nursing, Marketing, and Linguistics.

What languages is NorthVoy available in?

NorthVoy is fully available in English, Turkish (Türkçe), and German (Deutsch). You can switch languages at any time using the language selector in the navigation bar.

Does NorthVoy have information about studying in Turkey?

Yes. NorthVoy includes a dedicated Turkey Hub with information on studying in Turkey and abroad, including YKS exam types, top Turkish universities, scholarships, and city guides.

Data Science & Statistics

Data Science & Statistics is one of 30+ university majors covered by NorthVoy's free academic guidance platform. Graduates typically earn $80,000–$160,000 per year, with projected job growth of 28% (High).

Key skills you will develop

Python / R Programming
Machine Learning Fundamentals
Statistical Modeling
Data Visualization (Tableau / Plotly)
SQL & Databases

Career paths

Data Analyst
Data Scientist
ML Engineer
Business Intelligence Analyst
Quantitative Researcher
AI Product Manager

Salary and job outlook

Graduates typically earn $80,000–$160,000 per year, with projected job growth of 28% (High).

Highest-paying roles: Data Scientist, ML Engineer, Chief Data Officer.

Best countries to study Data Science & Statistics

United States
United Kingdom
Canada
Germany
Netherlands
Singapore

Top universities

TU Munich (Germany)
LMU Munich (Germany)
University of Amsterdam (Netherlands)
University of Helsinki (Finland)
University of Toronto (Canada)
University of Edinburgh (UK)
University of Melbourne (Australia)
Frankfurt School (Germany)
Stanford University (USA)
MIT (USA)
University of Cambridge (UK)
National University of Singapore
ETH Zurich (Switzerland)

How to get started

Start Python for data with Kaggle's free beginner track — it's practical and project-based.
Find a dataset you're genuinely curious about and try to answer a question with it.
Look into Data Science, Statistics, Applied Mathematics, or AI programs.

Your first project

Download a free public dataset from Kaggle or Our World in Data. Use Google Sheets or Python to answer one specific question, and create three visualizations that tell a clear story with your findings.

12-month action plan

Jan–Mar: Learn the Tools

Complete Kaggle's free Python for Data Science beginner course
Learn how to use a spreadsheet for basic data analysis (sorting, filtering, pivot tables)
Understand the basics of statistics: mean, median, standard deviation, correlation

Apr–Jun: Work with Real Data

Download a public dataset on a topic you find interesting and explore it
Create simple visualizations (bar charts, scatter plots) using Python (matplotlib/seaborn)
Learn basic SQL to query data from databases (Mode Analytics free course)

Jul–Sep: Build Machine Learning Intuition

Take fast.ai or Kaggle's ML Intro course (both free)
Build one machine learning project — predict something using a public dataset
Learn about model evaluation: what makes a good or bad model?

Oct–Dec: Showcase & Apply

Document your projects clearly on GitHub with good README files
Research Data Science, Statistics, or AI university programs
Prepare your personal statement — show specific curiosity about patterns and systems

Study cost: Moderate.

Take the free quiz to see whether Data Science & Statistics matches your profile.