How to choose the best master's degree in Artificial Intelligence or Data Science

Learn how to compare Data Science and AI programs and discover why MBIT master's degrees stand out in 2025.

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10/7/2025
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Why specialize in Data Science or AI in 2025

Growing demand for talent

Global spending on Artificial Intelligence solutions will exceed $400 billion in 2025, according to IDC, with compound annual growth of 28%. All industries — finance, healthcare, retail or energy — already rely on data and predictive models. However, the supply of qualified professionals does not meet demand: McKinsey estimates a deficit of 400,000 specialists in Europe before 2030.

Salaries and professional projection

In Spain, a junior profile of Data Scientist It starts at about 35,000 euros gross per year, reaching roughly 50,000€ after two or three years. Los Machine Learning Engineers and AI Architects exceed these figures, especially in multinationals or technology consultancies.

Essential Criteria for Evaluating a Program

Content and update of the syllabus

A solid master's degree should cover advanced statistics, Python programming, supervised and unsupervised machine learning, deep learning, MLOps, visualization and deployment in the cloud. Make sure the tools include Jupyter, TensorFlow or PyTorch, Git, Docker, and at least one cloud platform (AWS, Azure, or GCP). The ideal program is reviewed every semester to incorporate trends — for example, generative AI and Prompt-Engineering.

Methodology and format

For working professionals, the classes Live online On time After-work, combined with intensive face-to-face sessions, offer the necessary flexibility. Models such as Flipped Classroom and Learning by Doing increase retention: concentrated theory and guided practice with constant feedback.

Teaching staff

Verify that teachers are Practitioners active —Heads of Data, researchers or AI product leaders— and who publish or contribute to projects Open Source. That experience translates into applied classes and a valuable network of contacts.

Practical projects and real cases

The Master's Thesis must solve a real business challenge, with business metrics: increased revenues, reduced fraud or cost savings. The best programs combine public datasets (Kaggle, UCI) with anonymized data from partner companies.

Employability and network of contacts

Ask about the placement percentage after six months and about agreements with companies. Un Career Center effective offers mentoring, interview simulations and an active employment pool.

Flexibility and duration

The standard for professionals is between 9 and 12 months, with classes lasting two or three evenings a week and some Saturdays. A 24/7 virtual campus and recorded classes make the difference.

Price, Scholarships and Return on Investment (ROI)

Calculate the ROI by estimating the expected wage increase compared to the total cost. Consider interest-free fractional payment plans and scholarships that cover up to 30% of tuition.

How to apply these criteria step by step

1. Define your professional goals

Do you want to pivot from analyst to data scientist or lead AI projects in your current company? Clarifying the objective will help you prioritize content (for example, more MLOPs for engineering roles).

2. Select at least three options and compare them

Use a spreadsheet with the above criteria. Assign scores (1-10) and weigh what you value most — for example, 30% for content and 25% for employability.

3. Contact former students

Ask for real references on LinkedIn. Ask about teaching quality, workload and impact on their career.

4. Attend open classes or webinars

Checking the teaching style, the teacher's clarity and the dynamics of the class will avoid surprises.

Why Mbit School's master's degrees meet these criteria

Master in Artificial Intelligence

El Master in Artificial Intelligence covers computer vision, NLP and MLOps with official certifications from AWS and Azure. The classes Live online are combined with in-person bootcamps in Madrid, where you deploy models in the cloud and on devices Edge.

Master in Data Science

If your focus is on advanced analytics, the Master in Data Science delves into inferential statistics, Feature Engineering and pipelines End-to-end about Spark and BigQuery. It includes visualization with Tableau and Power BI and a capstone project with real data from school partners.

Career and Community Services

With a 98% employability audited (2024 data), Mbit offers Job board private, Talent Days with recruitment companies and personalized mentoring from personal branding.

Don't hesitate

Choosing the right master's degree in Data Science or Artificial Intelligence is a strategic investment that can redefine your career. It thoroughly evaluates content, methodology, faculty, projects and employability. If you are looking for a program up-to-date, practical and market-oriented, Mbit School master's degrees deserve to be on your short list.

The 2025 editions start in October and are usually completed before summer. If you want personalized advice, fill out the form on the right without obligation and secure your place.

No items found.
Great! Your request is already being processed. Soon you will have news.
Oops! Some kind of error has occurred.

Why specialize in Data Science or AI in 2025

Growing demand for talent

Global spending on Artificial Intelligence solutions will exceed $400 billion in 2025, according to IDC, with compound annual growth of 28%. All industries — finance, healthcare, retail or energy — already rely on data and predictive models. However, the supply of qualified professionals does not meet demand: McKinsey estimates a deficit of 400,000 specialists in Europe before 2030.

Salaries and professional projection

In Spain, a junior profile of Data Scientist It starts at about 35,000 euros gross per year, reaching roughly 50,000€ after two or three years. Los Machine Learning Engineers and AI Architects exceed these figures, especially in multinationals or technology consultancies.

Essential Criteria for Evaluating a Program

Content and update of the syllabus

A solid master's degree should cover advanced statistics, Python programming, supervised and unsupervised machine learning, deep learning, MLOps, visualization and deployment in the cloud. Make sure the tools include Jupyter, TensorFlow or PyTorch, Git, Docker, and at least one cloud platform (AWS, Azure, or GCP). The ideal program is reviewed every semester to incorporate trends — for example, generative AI and Prompt-Engineering.

Methodology and format

For working professionals, the classes Live online On time After-work, combined with intensive face-to-face sessions, offer the necessary flexibility. Models such as Flipped Classroom and Learning by Doing increase retention: concentrated theory and guided practice with constant feedback.

Teaching staff

Verify that teachers are Practitioners active —Heads of Data, researchers or AI product leaders— and who publish or contribute to projects Open Source. That experience translates into applied classes and a valuable network of contacts.

Practical projects and real cases

The Master's Thesis must solve a real business challenge, with business metrics: increased revenues, reduced fraud or cost savings. The best programs combine public datasets (Kaggle, UCI) with anonymized data from partner companies.

Employability and network of contacts

Ask about the placement percentage after six months and about agreements with companies. Un Career Center effective offers mentoring, interview simulations and an active employment pool.

Flexibility and duration

The standard for professionals is between 9 and 12 months, with classes lasting two or three evenings a week and some Saturdays. A 24/7 virtual campus and recorded classes make the difference.

Price, Scholarships and Return on Investment (ROI)

Calculate the ROI by estimating the expected wage increase compared to the total cost. Consider interest-free fractional payment plans and scholarships that cover up to 30% of tuition.

How to apply these criteria step by step

1. Define your professional goals

Do you want to pivot from analyst to data scientist or lead AI projects in your current company? Clarifying the objective will help you prioritize content (for example, more MLOPs for engineering roles).

2. Select at least three options and compare them

Use a spreadsheet with the above criteria. Assign scores (1-10) and weigh what you value most — for example, 30% for content and 25% for employability.

3. Contact former students

Ask for real references on LinkedIn. Ask about teaching quality, workload and impact on their career.

4. Attend open classes or webinars

Checking the teaching style, the teacher's clarity and the dynamics of the class will avoid surprises.

Why Mbit School's master's degrees meet these criteria

Master in Artificial Intelligence

El Master in Artificial Intelligence covers computer vision, NLP and MLOps with official certifications from AWS and Azure. The classes Live online are combined with in-person bootcamps in Madrid, where you deploy models in the cloud and on devices Edge.

Master in Data Science

If your focus is on advanced analytics, the Master in Data Science delves into inferential statistics, Feature Engineering and pipelines End-to-end about Spark and BigQuery. It includes visualization with Tableau and Power BI and a capstone project with real data from school partners.

Career and Community Services

With a 98% employability audited (2024 data), Mbit offers Job board private, Talent Days with recruitment companies and personalized mentoring from personal branding.

Don't hesitate

Choosing the right master's degree in Data Science or Artificial Intelligence is a strategic investment that can redefine your career. It thoroughly evaluates content, methodology, faculty, projects and employability. If you are looking for a program up-to-date, practical and market-oriented, Mbit School master's degrees deserve to be on your short list.

The 2025 editions start in October and are usually completed before summer. If you want personalized advice, fill out the form on the right without obligation and secure your place.

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