Doctorate in Management

Accredited By
UCAM University, Spain
Intakes
January | May | September
Duration
1 Year

From knowledge to leadership, transforming the future of business.

Doctorate in Management

Awarded by UCAM, Spain, Delivered by Exeed ECX.

The Doctorate in Management from UCAM, Spain is an elite doctoral programme designed for senior executives, entrepreneurs, consultants, and academic leaders who seek to elevate their strategic influence and drive meaningful organizational transformation through applied research.

This programme combines academic excellence with real-world business impact, empowering candidates to research, innovate, and lead at the highest level. It begins with structured doctoral coursework that builds advanced research, leadership, and strategic management competencies, followed by a practice-based doctoral thesis focused on solving complex business and management challenges.

Designed with working professionals in mind, the programme follows a flexible two-stage structure:

  • Stage One (Year 1): Five taught doctoral modules totaling 60 ECTS credits, providing a strong foundation in research methodology, critical thinking, and strategic management.

  • Stage Two (Research Phase): A practice-based doctoral thesis where candidates apply research directly to real organizational or industry contexts.

The research phase can be completed within 1 to 3 years, allowing candidates to balance doctoral study with senior professional responsibilities.

Graduates earn a globally recognized Doctorate in Management from UCAM, Spain, positioning them as thought leaders capable of driving innovation, influencing policy, and leading organizations toward sustainable success.

Why Choose This Program?

Master of Artificial Intelligence in Business course stands out by offering AI education specifically tailored for real business impact, combining industry driven and practical learning with a flexible online format suited for working professionals, while developing future ready skills with a strong focus on leadership and strategic decision-making.

Here are the five primary reasons to choose this program:

  • Industry-Relevant Curriculum – Designed to meet current market and employer needs
  • Hands-On Learning – Practical projects using real-world datasets
  • In-Demand Skills – Strong focus on data analytics, machine learning, and visualization
  • Business & Decision Focus – Learn to translate data into strategic insights
  • Ethical & Responsible Data Use – Emphasis on best practices and data governance

Programme Structure & Curriculum

This is a three year applied Doctorate in Management and Leadership focused on organizational research and practice. An optional exit award (MPhil in Applied Business Leadership and Management) is available after one year of coursework and the publication of a scoping or systematic review, subject to academic requirements and fees.

Year 1

  Introduction To Research Methods 10 ECTS
  Applied Reseatch In Organizational Behavior And Leadership 10 ECTS
  Contemporary Research In Business Analytics 10 ECTS
  Innovation And Sustainability Research Perspectives 10 ECTS
  Action Research Approaches In Operational Management 10 ECTS
  Doctoral Research Proposal 10 ECTS

Year 2:

  Dissertation Registration
  Confirmation of Supervision

Year 3:

  Dissertation Completion  
  Defense 120
  Total credits 180
Overview
Tuition Fees
Entry Requirements
Financial Support

Master Degree

The Master in Data Science equips students with practical and analytical skills to extract insights from complex data and support data-driven decision-making. The program combines statistics, machine learning, data analytics, and business intelligence with hands-on projects and real-world applications. Graduates are prepared to design, analyze, and deploy data-driven solutions across diverse industries.

Tuition Fees

The total tuition fees for the BBA (Honours) in Tourism & Hospitality Management:

Year 1: 1200 £
Year 2: 1200 £
Year 3: 1600 £

Tuition fees: 4000 £

Application fee: 100 £ (non-refundable)

* This price includes all online program related costs. Additional costs may apply in some circumstances.

Entry Requirements

Bachelor’s Degree from a recognised University

Proficiency in the English language (IELTS/TOEFL is not mandatory)

Due to its involvement in modern Machine Learning algorithms with maths and programming, candidates having knowledge of linear algebra, probability and calculus could be a plus.

Financial Support

We understand that funding your education can be challenging, which is why we provide convenient instalment plans to support you. These flexible payment options help you manage your tuition fees comfortably while staying focused on your learning journey.

By offering flexible payment schedules, we ensure that learners can access high‑quality education without compromising their financial stability. For further information on setting up a flexible payment plan, please connect with our admissions team. They look forward to supporting you as you begin your chosen programme.

 

UCAM University, Spain

Founded in 1996, Universidad Católica de Murcia (UCAM) is a fully accredited European university committed to developing socially responsible graduates through education, research, and innovation. With over 16,000 students and 1,000 faculty members, UCAM offers a wide range of official European programs, including bachelor’s, master’s, and doctoral degrees. The university provides a holistic education that blends strong theoretical foundations, practical learning, and value-based development. UCAM is accredited by ANECA and has received high global recognition, including a student satisfaction rating above 4.4/5 and significant advancement in international research rankings.

Career Opportunities After This Program

Graduates of the Master in Data Science are prepared for a broad range of high-demand roles across industries, combining strong analytical expertise with practical, data-driven problem-solving skills.

Career pathways include:

  • Data Scientist
  • Data Analyst
  • Business Intelligence (BI) Analyst
  • Machine Learning Analyst
  • Data Engineer (Entry to Mid-Level)
  • Analytics Consultant
  • Business/Data Strategy Analyst
  • Quantitative Analyst
  • AI & Data Solutions Specialist
  • Research Analyst

These roles span sectors such as finance, healthcare, retail, technology, manufacturing, and public services, enabling graduates to apply data science skills in diverse professional environments.

Teaching & Learning Approach

Interactive online learning

Applied projects and case-based assignments

Research-driven assessments

Practical business and industry scenarios

Continuous academic guidance and support

Assessment Method

Internally assessed modules

Criteria-based evaluation aligned with learning outcomes

Focus on assignments, projects, and applied research

No rote memorisation, emphasis on real-world skills

Who Should Enroll?

The Master in Data Science is ideal for individuals who want to build or advance a career in data-driven decision making and analytics. This program is well suited for:


Graduates from business, IT, engineering, mathematics, statistics, or related disciplines seeking to specialize in data science

Business professionals who want to strengthen their analytical and data-interpretation capabilities

Working professionals aiming to upskill or transition into data analytics, data science, or AI-driven roles

IT and software professionals looking to expand into data engineering, machine learning, or advanced analytics

Analysts and managers who want to leverage data for strategic decision-making

Industries That Hire

Graduates of a Master in Data Science are hired across many data driven industries, including:

  • Information Technology & Software

  • Banking, Finance & FinTech

  • Healthcare & Life Sciences

  • Retail & E-commerce

  • Telecommunications

  • Manufacturing & Supply Chain

  • Marketing & Digital Advertising

  • Consulting & Professional Services

  • Energy & Utilities

  • Government & Public Sector

  • Logistics & Transportation

These industries rely on data science to drive insights, optimize operations, and support strategic decision making.