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148 Affordable Master's degrees in Data Science & Big Data
When considering an affordable master's degree in Data Science & Big Data, it's essential to understand what qualifies as 'affordable'. In our system, any master’s programme with tuition fees ranging from €0 to €2,500 per year is considered affordable. This means that you can find tuition-free options, as well as programmes that require minimal financial investment. For international students, this affordability makes Data Science & Big Data an attractive field of study. Several countries offer cheap master's degrees in Data Science & Big Data. For instance, you can explore affordable Data Science & Big Data programs in Germany, where many universities provide tuition-free education. Similarly, cheap Data Science & Big Data degrees in France are available, often with low tuition fees. Other popular destinations include budget-friendly Data Science & Big Data in Poland, affordable Data Science & Big Data in Italy, and low-cost Data Science & Big Data in Portugal. Additionally, for those preferring flexibility, affordable online Data Science & Big Data master's programmes offer a cost-effective alternative.

Data Product Manager
Existing PMs wanting to get deeper tech expertise in the Data domain to be more self-sufficient during product development and maintenance process. The Data Product Manager programme is offered by Udacity.

Programming for Data Science with R
This Programming for Data Science with R Nanodegree program at Udacity provides an overview of data analysis and programming.

Data Engineering with AWS
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. The Data Engineering with AWS programme at Udacity is a comprehensive data engineering course designed to teach you how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Programming for Data Science with Python
Learn programming skills needed to uncover patterns and insights in large data sets, running queries with relational databases and working with Unix shell and Git in the Programming for Data Science with Python programme at Udacity.

Data Visualization
This Data Visualization programme at Udacity covers four courses on data visualization and storytelling.

Data Streaming
Learn the latest skills to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming in the Data Streaming programme at Udacity.

Data Scientist
This Data Scientist Nanodegree programme offered by Udacity prepares you to tackle data science at scale.

Data Architect
Develop the expertise to architect modern data ecosystems. Join the Data Architect programme at Udacity .

Data Science for Business Leaders
Master the fundamentals of leading data science initiatives with the Data Science for Business Leaders programme at Udacity.

Data Structures and Algorithms
Sharpen your problem-solving skills in this Data Structures and Algorithms Nanodegree programme at Udacity.
Introduction to SQL
SQL is one of the most versatile tools available for extracting insights from stored data. Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. The Introduction to SQL program is offered by Udacity.
Internet of Things (IoT) MicroMasters Program
EdX is an online learning platform trusted by over 12 million users offering the Internet of Things (IoT) MicroMasters Program in collaboration with Curtin University - CurtinX. Learn to guide IoT projects and design IoT solutions.
Statistics and Data Science MicroMaster
EdX is an online learning platform trusted by over 12 million users offering the Statistics and Data Science MicroMaster Program course in collaboration with Massachusetts Institute of Technology - MITx. Master the skills needed to solve complex data challenges.
Using SQL for Data Analysis
SQL is one of the most versatile tools available when it comes to extracting insights from stored data. Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. The Using SQL for Data Analysis program is offered by the Udacity.
Database Management Systems MicroMasters Program
EdX is an online learning platform trusted by over 12 million users offering the Database Management Systems MicroMasters Program in collaboration with University System of Maryland - USMx.
Building Generative AI Solutions with Vector Databases
This Building Generative AI Solutions with Vector Databases lesson at Udacity covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Data Analysis and Visualization Fluency
Learn about the data analysis process, key steps in data wrangling, basic data types, summary statistics, how to design good data visualizations, common types of charts and plots, and how to tell a story with your visuals in the Data Analysis and Visualization Fluency program at Udacity.
SQL Fluency
SQL is one of the most versatile tools available for extracting insights from stored data. In this course, you will learn how databases work. The SQL Fluency program is offered by Udacity.
Data Science Fluency
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders. The Data Science Fluency program is offered by Udacity.
Discovering Data Science
Data science is one of the highest-impact, most in-demand skills. In this Discovering Data Science program at Udacity, we'll introduce you to the fundamental concepts and terms that you'll need to step into the world of data science.
Frequently Asked Questions
Several countries offer a cheap master's degree in Data Science & Big Data, making them attractive destinations for international students. For instance, you can explore cheap Data Science & Big Data master’s in Germany, where tuition fees are often under €2,500 per year. Similarly, affordable Data Science & Big Data degrees in Poland provide excellent value. Other options include Norway, Sweden, and Denmark. These countries not only offer affordable tuition but also high-quality education.
The average cost of a cheap master's degree in Data Science & Big Data typically falls below €2,500 per year. In many European countries, public universities charge minimal tuition fees, especially for international students. For example, in Germany, the tuition fee can be as low as €0 for some programmes, while in Poland, it rarely exceeds €2,000 per year. Additionally, living costs vary, but students can expect to spend between €800 to €1,200 per month on accommodation, food, and other essentials. This makes pursuing a master's degree in Data Science & Big Data both accessible and affordable.
Yes, there are scholarships available for cheap Data Science & Big Data master degrees. Many universities and governments offer financial aid to international students. For instance, the DAAD scholarships in Germany provide partial or full funding for master's students. Similarly, the Polish Government Scholarship Programme supports international students pursuing higher education in Poland. Additionally, universities often have their own scholarship schemes, which can cover tuition fees and living expenses. It's advisable to check the specific scholarship opportunities offered by the university you are interested in.
Absolutely, you can get an affordable online master's degree in Data Science & Big Data. Many universities offer flexible, distance-learning options that are budget-friendly. For example, you can explore affordable online Data Science & Big Data master’s programs that fit your schedule and budget. These programmes often have lower tuition fees compared to on-campus options and allow you to study from anywhere in the world. Online learning also provides the flexibility to balance your studies with work or other commitments.
The admission requirements for a cheap master's in Data Science & Big Data vary by university but generally include a bachelor's degree in a related field such as computer science, mathematics, or engineering. Most programmes require a minimum GPA, typically around 2.7 to 3.0 on a 4.0 scale. Additionally, you may need to submit standardised test scores like the GRE, although some universities waive this requirement. Proficiency in English is essential, usually demonstrated through tests like IELTS or TOEFL. Some programmes may also require letters of recommendation and a statement of purpose.
The duration to complete an affordable master's in Data Science & Big Data usually ranges from 1 to 2 years, depending on the programme and whether you study full-time or part-time. Full-time programmes typically take 1.5 to 2 years, while part-time options can extend up to 3 years. Online programmes offer more flexibility, allowing you to complete the degree at your own pace within the given timeframe. It's important to check the specific duration of the programme you are interested in, as some may offer accelerated options or additional modules that can affect the total time required.