Master's Degree in Data Management, Business Analytics & AI

Build advanced, application-driven expertise across the full data and AI landscape. This one-year, 60 ECTS master’s degree equips you to govern, analyse, and operationalise data, build and deploy AI and machine-learning solutions, and lead strategic digital transformation — grounded in ethical, responsible, and sustainable practice.

12 Months

7 Modules

6 Assignments

Blended Learning

1 Capstone Project

Master

Globally Recognized & Accredited:

15000

Students Trained Globally

25

Industry-Aligned Programs

70

Countries with Active Alumni

87

Career Transition Success

Masters in Data Management

ESIC Business & Marketing School, Spain, is one of Europe’s most established institutions for business and technology education, with a legacy of programmes that combine rigorous academic foundations with direct industry application. This one-year postgraduate programme develops advanced competencies in data governance, business intelligence, artificial intelligence, and strategic innovation — covering data architecture, machine learning, natural language processing, computer vision, applied AI, and digital business strategy. Integrating technical depth with leadership development, ethical decision-making, and real-world project work, it equips graduates for roles in data management, AI implementation, business analytics, and digital transformation.

Eligibility

Eligibility

Students seeking admission to this programme should hold a Bachelor’s degree from a recognised institution and a minimum of 2 years of professional experience. Alternatively, candidates with more than 8 years of relevant professional experience may apply without a degree. A language test won’t be necessary if the student can demonstrate that they have studied and obtained a degree fully taught in English, or if they are a native English speaker.

Prerequisites

While prior experience in AI or data science is not mandatory, a basic comfort with digital tools, logical reasoning, and working in professional environments will support engagement across the programme’s technical and applied components. Familiarity with business concepts and data-related workflows will be beneficial across modules such as Business Analytics, Data Management, and Artificial Intelligence. Basic computer literacy and the ability to work within online learning environments are essential for the programme’s blended delivery format.

Course Modules

60 ECTS · 12 months · Blended learning

Bar length reflects each module's ECTS credit weight.

Tools & Technologies

The Tools You'll Master

Hands-on across the full data and AI stack — from analytics and governance to machine learning, generative AI, and the cloud.

  • Power BI
  • Python
  • NLP Frameworks
  • Computer Vision Tools
  • Big Data Platforms
  • Data Governance Frameworks
  • Machine Learning
  • Generative AI Tools
  • Excel with AI
  • Chatbot & Automation Platforms
  • Cloud Environments

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.

Ms. PIYALI MONDAL - B&W
Ms. Piyali Mondal Head of Department
Ms. Priti Mondal - B&W
Ms. Priti Mondal Associate Faculty
Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our Master’s Degree in Data Management, Business Analytics, and AI. Learn about admissions, programme structure, tools, and career outcomes.

Why should I choose a Master's in Data Management, Business Analytics, and AI?

This one-year, 60 ECTS master’s degree builds end-to-end expertise across data governance, business analytics, and artificial intelligence — the skills employers need most. Awarded by ESIC University, one of Spain’s top business and technology schools, it prepares you to turn data into strategy and lead digital transformation across any industry.

How is this different from a data science degree or an MBA?

Unlike a pure data-science degree, this programme pairs technical depth (machine learning, NLP, computer vision, big data) with business strategy, data governance, and leadership. And unlike a general MBA, it is built specifically for the data-and-AI era — so you graduate able to both build solutions and lead their adoption.

What will I learn in the programme?

Across 60 ECTS you cover Business Analytics, Data Management, Strategy & Innovation, Management Skills, Artificial Intelligence, Applied AI, Professional Development & Networking, and a supervised Final Master Thesis (TFM) — mastering tools and methods from Power BI dashboards to deployed AI solutions.

Which tools and technologies will I use?

You’ll work with Power BI, Python, NLP frameworks, computer vision tools, big data platforms, data governance frameworks, machine learning and generative AI tools, AI-enhanced Excel, chatbot and automation platforms, and cloud environments.

Do I need prior coding or AI experience to enrol?

No prior AI or data-science experience is required. A basic comfort with digital tools and logical reasoning is enough to start; the programme builds your technical and analytical capability from the ground up.

Who is this master's degree for?

It suits analysts, managers, consultants, and professionals who want to move into data, analytics, and AI leadership. Applicants typically hold a bachelor’s degree plus at least 2 years of professional experience; those with 8+ years of relevant experience may apply without a degree.

What career opportunities does it open?

Graduates pursue roles such as Data Analyst, Business Intelligence Developer, Data Manager, Data Governance Officer, AI/ML Implementation Lead, Analytics Consultant, and Digital Transformation Manager across a wide range of industries.

Is the ESIC degree internationally recognised?

Yes. The degree is awarded by ESIC University, a fully-accredited European university holding the prestigious AMBA and EQUIS accreditations and featuring in the QS World University Rankings by Subject 2026 — ensuring global recognition.

Can I complete this master's while working full-time?

Yes. The blended format combines flexible online study with live and recorded sessions, so you can progress at your own pace while balancing work and personal commitments.

What is the Final Master Thesis (TFM)?

The TFM is your capstone: an independent, supervised applied-research project — a Business Analytics project, Big Data consultancy, or Impact Analytics study — supported by a Research Methods component, producing evidence-based recommendations you can showcase to employers.

Still have questions?

If you have any other questions or need further information about our Master’s Degree in Data Management, Business Analytics, and AI, our team is here to help.

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