Five Key Reasons to Study a Master's Degree in Data Science Skip to main content Skip to footer

Imagine holding the key to decoding trends hidden in mountains of data—trends that could reshape industries, predict market shifts, or even save lives. That’s the impact of a master’s degree in data science. A data science master’s degree offers the expertise to analyze complex datasets, apply machine learning, and drive data-driven decisions. 

Data is transforming industries, from healthcare to finance, and skilled data scientists are in high demand. It is also the backbone of modern industries, and data scientists are pivotal to turning raw information into valuable insights.  

For international students looking to earn a career in a fast-growing, high-impact field, a master's degree in data science is a compelling option. Whether you are eyeing Silicon Valley startups or European tech hubs, this degree is more than just a credential; it is a career rocket ship. This report outlines five key reasons to pursue this degree, emphasizing its relevance for international students. Learn also how Schiller International University’s MS in Data Science aligns with these benefits, offering a robust data science program tailored to international aspirations. 

1: Surging Demand for Data Science Expertise

A master's degree in data science equips you with the data science skills needed to meet this demand, ensuring job security and opportunities for data science internships. The data science program landscape is experiencing unprecedented growth, with job opportunities growing rapidly. The U.S. Bureau of Labor Statistics projects a 36% employment increase for data scientists from 2021 to 2031, far surpassing the average for other occupations (BLS Data Scientists). McKinsey & Company predicts a 50% demand-supply gap for skilled professionals by 2026 (McKinsey AI Report). This makes a Master's Degree in Data Science essential for securing data science jobs.

Key Statistics:

  • 36% job growth from 2021 to 2031 (U.S. BLS).
  • 50% demand surplus by 2026 (McKinsey).
  • 21,000 new data science jobs annually (365 Data Science).
  • 256% increase in data science jobs since 2013 (Scoop Market).

2: Competitive Salaries in Data Science

A career in data science promises higher salaries. In the US, data scientists earn an average salary of $122,443 per year, with top professionals surpassing $170,000 (Indeed Salaries). In Europe, Germany offers around $85,115 yearly (365 Data Science Salaries). A master's degree in data science in Europe positions you for these financial rewards.  

The higher salaries reflect the specialized nature of data science skills, which make a data science master’s degree a worthwhile investment. 

Salary Comparison Table:

Location Average Salary (USD)
United States $122,443
United Kingdom $79,978
Germany $85,115

What’s Driving These Salaries?

Skill scarcity: Only 5% of job postings seek 'full stack' data scientists, making specialized expertise like gold dust.

Industry demand: Finance and technology giants pay top dollar. For example, data scientists in banking earn up to $250,000 annually (2).

Global relevance: European hubs like Paris and Madrid offer competitive packages, with Schiller graduates landing roles averaging €85,115 in Germany.

If you are after higher salaries and job security, this degree is your fast track.

3: The Job Market is Exploding—And It’s Not Slowing Down

A master's degree in data science provides access to diverse data science fields. Industries like technology, finance, healthcare, retail, government, education, and entertainment rely on data-driven decisions. The roles include those of a data scientist, machine learning engineer, data analyst, and business intelligence analyst. LinkedIn notes a 256% surge in data science jobs since 2013, highlighting the field’s versatility (Data Science Statistics).

This statistic will make you sit up and take notice: there will be 73,100 new data science jobs will emerge by 2033, which will grow 36% faster than most careers (Towards AI). Even with artificial intelligence (AI) automating tasks, companies need humans to interpret data. This flexibility allows you to align your career path with personal interests, enhanced by a master's degree in data science.

Where are the Opportunities?

Industry Projected Growth (2025–2030)
Healthcare 28%
Finance 32%
E-commerce 45%
Sustainability Technology 51%

Schiller University's MS in Data Science program prepares students for careers in these fields through modules such as Machine Learning for Business Analytics and Cloud Computing.  You will graduate prepared to deal with real-world problems, not just those found in textbooks.

4: Driving Impactful Change with Data

Data scientists drive change by delivering valuable insights. In healthcare, they predict disease outbreaks; in business, they optimize strategies. A master's degree in data science equips you with the data visualization and artificial intelligence skills to make a difference. Schiller’s data science program emphasizes real-world applications, preparing you for impactful roles.

Impact Examples:

  • Enhancing patient outcomes via predictive analytics.
  • Boosting customer engagement through personalized marketing.
  • Streamlining operations with big data insights.

5: Flexibility to Work Anywhere. Yes, Anywhere!

Imagine analyzing climate data in Paris one year and optimizing supply chains in Singapore the next. A Master's Degree in Data Science in Europe offers geographical flexibility, with remote roles growing 27% since 2023.

Why Study in Europe?

  • Lower costs: Schiller’s scholarships cover 50% of tuition.
  • Networking: Campuses in Madrid and Paris connect you to global firms like LOEWE and AWS.
  • Dual degrees: Earn US and European accreditation, a rarity in higher education.

Whether you crave Heidelberg's historic charm or Madrid's technological buzz, this degree is your passport.

Schiller’s Master of Science in Data Science

Schiller International University’s MS in Data Science is designed for international students seeking a global career path. Offered in Madrid, Paris, and Heidelberg, this 10-month program integrates business and technical expertise. With a focus on data science skills, it includes data visualization with Power BI, machine learning, and big data analytics. A one-week boot camp and capstone projects provide real-world experience, preparing you for data science internships and jobs. Scholarships up to 50% are accessible to international students.

Program Details:

  • Duration: 10 months
  • Credits: 30 American
  • Language: English
  • Campuses: Madrid, Paris, Heidelberg
  • Intake: June, October
  • Scholarships: Up to 50%

Career and Industry Impact

The data science master's degree opens up a variety of career options for you, from technology to healthcare, making data-driven decisions that shape industries.  The program’s focus on cutting-edge technologies ensures you stay ahead in a dynamic field, fostering a long-term career path. 

Master’s Degree in Data Science Requirements

Schiller’s program accommodates varied backgrounds, offering foundational courses for programming or mathematics beginners. The master’s degree in data science requirements include a bachelor’s degree and English proficiency, making it accessible to international students. 

Prepare For Your International Career in Data Science

A master's degree in data science offers a gateway to a thriving career, with high demand, higher salaries, diverse opportunities, impactful work, and continuous learning. With Schiller’s global campuses, industry-aligned curriculum, and up to 50% scholarships, you will graduate ready to succeed in this $230 billion industry.

AI is not replacing data scientists—it is reshaping their toolkit. Employers now prioritize candidates who blend machine learning prowess with soft skills like storytelling.

Top Skills Employers Want in 2025

  • Python & SQL: Foundational for 89% of data roles.
  • Data Visualization: Demand surged from 10% to 22% in 2024.
  • Ethical AI: Schiller courses tackle this through hands-on projects.

Schiller’s program teaches more than just coding. You will master tools like Power BI, build chatbots with OpenAI, and even explore ethical dilemmas in data handling—skills that will set you apart in interviews.  For international students, a master's degree in data science is much more than just a degree, it is a launching pad. 

Apply Now and start your journey today.

FAQs

Q1: What are the main benefits of earning a master's degree in data science?

Answer: Beyond higher pay, you will gain the versatility to work across industries, including healthcare, finance, and gaming. You will learn advanced data science skills, access global data science jobs, and work on real-world projects.

Q2: Is a master's degree in data science worth it for career advancement? 

Answer: Yes, it leads to leadership roles and higher salaries in the competitive field of data science. 

Q3: What industries can I work in after earning a master's in data science? 

Answer: Think beyond technology. Retailers need data-driven inventory systems; hospitals use predictive analytics for patient care. Your options are endless.

Q4: Do I need a background in programming or mathematics to pursue this degree? 

Answer: Not necessarily. Schiller’s program starts with fundamentals, making it ideal for career switchers.

Q5: How does a master's in data science differ from other technology-related graduate programs? 

Answer: Unlike generic IT programs, this degree focuses on actionable insights—transforming raw data into boardroom strategies. It focuses on data visualization, machine learning, and big data, unlike broader technology degrees.

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