EU Global

Explore EU Global

Doctorate of Philosophy (PhD)

Project based learning for immediate Data Science Jobs

Programme Accreditation

EU Global PhD is a 240 ECTS programme with dual degree from Rushford Business School, Switzerland (Full Validation Achieved) and Malta Qualifications Framework (MQF) / European Qualifications Framework (EQF) Level 8 (Accreditation Awaited). The learners can enrol upfront at Rushford with entry to MFHEA approved programme as soon as we receive accreditation.

Programme Overview

The Doctorate of Philosophy (PhD) is at the highest level of Malta Qualifications Framework (MQF) and the European Qualifications Framework (EQF) Level 8. The PhD doctorates qualify for this qualification title who meet the qualification descriptor for this level 8 entirely. This doctorate qualification necessitates the primary focus of the candidate’s work to showcase an original contribution to knowledge within their subject, field, or profession, achieved through original research or the innovative application of existing knowledge or understanding.
The PhD Programme seeks to enhance the capability of the professionals to merge rigorous academic and critical analysis with practical relevance and application. This enables them to evolve into more effective evidence-based practitioners and contribute to the advancement of their profession by expanding knowledge. In this pursuit, it aims to elevate the standards of their profession. Since this programme aims to enhance the research and publication competencies of the scholars and the scholars are expected to be an expert in terms of their Master studies or acquired experience in the past, the scholars in this programme progress in their field to the next level. For this independent research, the learners can choose the topic in any field they have prior expertise in such as marketing, finance, technology, operations, human resources, big data, healthcare, agribusiness, etc.
The scholars must have approved subject specific supervisor before choosing the area in which they wish to pursue doctoral studies.

Learning Outcomes

Key Fact

Curriculum And Structure

Curriculum And Structure

EGV Doctoral qualification is a generic qualification to strengthen scholars’ capabilities to create, plan, validate, execute, report on, and evaluate a significant research project that is professionally relevant and contributes to the generation of new knowledge. To achieve this, they should be able to structure and synthesise complex information, and adapt ethical practices in deciding methods of data collection and its analysis. The generic Doctoral program at EGV may lead to 2 qualifications that confer “Dr.” Title. One is Doctor of Philosophy (PhD) and second is Doctor of Business Administration (DBA), which may be considered as a staged phase of PhD and learners completing DBA will have further opportunity to progress to PhD by strengthening academic rigour and teaching and mentoring skills. All other exit awards do not lead to “Dr.” Title. EGV DBA is designed for those looking to apply research to practical business problems and advance in professional practice. DBA graduates typically pursue leadership roles in business, government, or non-profit organisations, such as CEO, CFO, COO, or other high-level executive positions. The program emphasises applied research that addresses real-world business challenges, often involving case studies and applied projects rather than purely theoretical work. DBA candidates develop advanced leadership, strategic, and decision-making skills, with a strong emphasis on professional development and networking opportunities with other high-level professionals.
The aforementioned outcome of application of management experience and generation of new knowledge with rigorous thesis of 60,000 words leads to the Qualification of Doctor of Business Administration (DBA) with “Dr ” Title conferment. EGV’s DBA coursework is approximately 33% and the thesis is 67%, and scholars must defend the thesis successfully to be conferred DBA Qualification. Further, PhD scholars receive intensive training in advanced research methodologies and statistical analysis, focusing on conducting original research that contributes to academic theory. Additionally, they often teach undergraduate, graduate courses OR peer to peer teaching, developing both their research and teaching skills.
PhD coursework is typically 37.5% and paper publication and dissertation is 62.7%. Post successful Dissertation defense, the scholars are conferred the Qualification of Doctor of Philosophy (PhD) with “Dr ” Title.

Exit Awards/Qualifications

Our strategic accreditation allows every learner to earn ECTS credits for every module they study. This allows students to take deferrals, exits and re-join studies and use same ECTS credits for an advanced entry into the programme.

Assessments

We follow continuous and end of the module assessment. Continuous assessment is conducted within various units studied by the learner, and counts towards the final grades, the weightage of continuous assessment is 40%. The nature of continuous assessment is normally multiple choice questions.
End of the module assessment is the final assessment, consisting of 60% weightage. The nature of final assessment is the report submission. The report can be a project, analysis, case study, research paper, etc.
We also integrate formative assessment which does not contribute to the final grade, rather helps in peer to peer learning and reflecting on the concepts used.
Grading system can be accessed via Policy No. 5 Assessment Policy in Quality Handbook, available in downloads section.
All modules together consist of 40% weightage. In this programme, passing the modules do award them credits, but for the award of degree and the doctorate title, passing dissertation and defense is mandatory.

Target Learners Age

Ages 19 – 30
Ages 31 – 65
Ages 65+

Prospective Job Titles

Ready for the Doctorate of Philosophy Career!

The EGV doctoral program is taught in a staged manner with certain recommended milestones to achieve. Each stage is designed to enable scholars’ journey to the final dissertation phase. To achieve a doctor title, the outcome in terms of dissertation is the most important. Though the coursework is introduced, completing coursework and not completing dissertation would not entitle a scholar “Dr” title. It is expected that the doctoral programme/s at EGV will primarily recruit active, experienced professionals who have already recently been awarded a relevant Masters qualification and who are now seeking to further enhance their professional development. If an applicant does not have a recent, relevant Masters level qualification the Programme Leader will discuss with the applicant and suggest an appropriate programme, if available. Please note that this additional coursework is neither mandatory nor leads to our doctoral degree. Post completing this Level 7 relevant coursework, the student can enrol for dissertation.
Doctorate at EGV is taught in 3 Stages:
  • Stage 1: Transforming practice to Research
  • Stage 2: Research Proposal Phase
  • Stage 3: Dissertation Phase
  • Industry Expert Message

    “Welcome to this program on MS Data Science & Artificial Intelligence. I have the honour of reviewing the curriculum and teaching “Computer Vision Course”.

    Overall, I am impressed with the depth of curriculum. More so, I find the hybrid style of teaching highly effective.

    The courses are well and thoughtfully designed with the tools taught that are used in the industry. I being the founder of the Creo Group, an IT consulting company in Hungary takes this immense pleasure to mentor future generation, learners enrolled in this programme.
    Best Wishes,
    László Grad-Gyenge,
    Managing Director, Creo Group
    Professor, European Global

    Make Your PhD lifelong Asset

    Research Residencies

    All scholars get access to seven research residencies in an online mode. Some opportunities are also provided for attending on-campus residencies which are announced atleast 3 months before the schedule. These residencies are Power Sessions to promote publications, research writing and overall impact of your research!

    Journals & Conferences

    Our scholars get an opportunity to present their research in international journals and seeking feedback from experts. This process can culminate to publications in reputed peer-reviewed journals. PhD scholars also get an opportunity to engage in peer to peer teaching and collaboration.

    Admissions

    Design Tomorrow’s Innovation with Doctorate of Philosophy (PhD)

    Eligibility
    Criteria

    Upload
    Documents

    Selection
    Process

    Fees, Financing & Scholarships

    Enrolment
    Letter

    Contact And Apply

    Events, request information form and apply Now

    Application And Contact

    Have questions?
    Attend our next open house Register here
    OR
    Email at admissions@euglobal.edu.eu

    Attend our Next Virtual Open House

    All Key Data

    Title of the Qualification: Master of Science (M.S) in Data Science and Artificial Intelligence
    Department: Information and Communication Technologies
    MQF/ EQF Level: Level 7 (90 ECTS)
    Exit Awards (details in programme structure):
    1. Post-Graduate Diploma in Data Science & Artificial Intelligence (MQF level 7, 60 ECTS, 9- 24 months)
    2. Post-Graduate Certificate in Data Science (MQF Level 7, 30ECTS, 4 -12 months)
    3. Micro-credentials for each module (MQF Level 7, respective module ECTS, 5-10 weeks)
    Mode of Delivery: 100% Online
    Asynchronous, with 1:1 mentor support
    Scheduled and pre-announced bootcamps, recordings provided
    Capstone Consulting Project
    Address where the programme will be offered:
    100% Online via our following e-campus
    https://campus.europeanglobalvarsity.com/
    Mode of Attendance & Duration:
    ● Full-time – Accelerated – 12 Months, Regular – 18 – 36 Months
    ● Part-time – 24 – 36 Months
    Weekly Hours: 15-40 Hours, depending upon mode of attendance. The students can complete this qualification in 12-18m by studying for around 30-40 hours per week. However, if you aim to study 15-25 hours per week, please expect a longer time period to complete. The minimum time to complete this program is 12m and the maximum time to complete this program is 36m.
    Language of Instruction: English
    Dates of Intakes: Batch starts 1st working day of every month

    Curriculum

    Students pursuing MS Data Science & AI/ 90 ECTS have to complete all thirteen modules including the Capstone Consulting Project. 

    Students pursuing only top-up will have to complete Research Methods, Statistics for Data Science and Capstone Consulting Project. Top-up Students may have to study additional modules if not recognised at the time of entry. Please consult your admissions team.

    Students pursuing Post-Graduate Diploma in Data Science & Artificial Intelligence/ 60 ECTS will have to complete all modules, except Research Methods and Capstone Consulting Projects.

    Module/Unit TitleCompulsory (C) or Elective (E)ECTS (Figures must be whole integers and with a value of at least 1 ECTSMQF Level of each module
    Statistics for Data ScienceC67
    Mathematics for Data ScienceC67
    Programming for analytics using PythonC67
    Data Virtualization and storytelling with tableauC67
    Artificial Intelligence and Machine LearningC67
    Machine Learning Methods using PythonC67
    Convolution and Recurrent Neural NetworksC67
    Computer Vision and Image RecognitionC67
    Natural Language ProcessingC67
    Big Data and NoSQLC67
    Data Warehousing and managementC67
    Research MethodsC67
    Capstone Consulting ProjectsC187

    Target Group

    All learners who meet the eligibility requirement and are passionate to learn about evolving technologies are welcome to participate in their program.

    The target group for studying a Master of Science (M.S) in Data Science (DS) and Artificial Intelligence (AI) typically include the following:

    Working Professionals

    Professionals with relevant work experience in data science, software engineering, or related fields who want to earn formal qualification in DS and ML.

    Data Scientists and Analysts

    Professionals working in data-related roles who want to deepen their expertise in machine learning and AI techniques can benefit from an MS program to enhance their career prospects.

    Entrepreneurs and Innovators

    Those looking to start AI and DS-related businesses or develop innovative AI applications can benefit from an MS program to acquire the necessary skills and knowledge.

    Researchers

    Those interested in conducting research in DS, AI and ML may pursue these masters to gain the necessary skills and knowledge for their research endeavours.

    Top-level executives

    Top-level executives who wish to understand the landscape of DS & AI to guide its implementation in the organisation.

    Relationship to Occupation/s

    The learner who have successfully achieved the outcomes for this program can be employed for the following positions with following job descriptions:
    Career PathJob Description
    Data AnalystForecasting future trends and identifying significant patterns in data. Also, Analysing massive datasets for anomalies, patterns, etc., to make predictions
    Natural Language Processing EngineerInvestigating the relationship between spoken language and computer systems, working on chatbot and virtual assistant projects
    Research ScholarPursuing Ph.D. in the areas of Data Science
    ResearcherEngaging in AI and computer science research, advancing Data Science technologies
    Research ScientistExpert in computational statistics, machine learning, deep learning, and applied mathematics, typically requiring a doctorate
    Software EngineerDeveloping applications using AI tools, also known as a programmer or AI developer
    AI EngineerCreating AI models from scratch, assisting stakeholders in understanding outcomes
    Machine Learning EngineerDesigning, developing, and maintaining ML software systems using data
    Data ScientistAssembling, scrutinising, and understanding data sets
    Computer Vision EngineerCreating and working on systems and projects using visual data

    Eligibility Requirement

    Following scanned copies of the documents are required to be provided to be admitted for the program
  • Biopage of your valid passport.
  • Bachelor’s academic transcript and degree certificate in any discipline OR equivalent completion of Level 6 qualification with at least 180 ECTS. The applicant must have studied Mathematics at least MQF level 5 (Undergraduate Diploma/Certificate) or equivalent knowledge of mathematics (for instance, linear algebra, calculus).
  • Language proficiency certificate: All programmes are taught in English language, and therefore English proficiency is required. For students who completed the bachelor’s degree from the US, UK or any English-speaking countries, OR have studied in English Language for at least 2 years; OR have worked in an English speaking environment for at least 2 years prior to applying for this program, language proficiency certificate is not required. For learners who cannot provide any evidence of their English proficiency, they must provide an English language certificate equivalent to IELTS 6.
  • 200-300 words Statement of Purpose/Motivational Letter
  • Scan of passport size photograph
  • Documents Required

  • Scanned copy of the following documents
  • Passport
  • Last highest qualification degree and transcripts as mentioned in eligibility criteria
  • Scanned passport size professional photograph
  • Proof of English Language – MoI or English Test minimum equivalent to IELTS 6
  • 200-300 words Statement of Purpose/Motivational Letter
  • Selection Process

  • Interview:
    This is an interaction to confirm your interest, spoken English skills, and eligibility and interest in studies

  • Offer Letter & Payment Details:
    You will receive more information from our program team

  • Post payment, fee receipt & enrollment letter – please submit evidence of payment at invoice@euglobal.edu.eu

  • Studies Begin – Mostly all Online Programmes begin on 1st working day of the month, but please check programme related variation. On-Campus programmes, if offered, begin on stipulated months.
  • Scholarships And Fee Financing

  • Interview:
    This is an interaction to confirm your interest, spoken English skills, and eligibility and interest in studies

  • Offer Letter & Payment Details:
    You will receive more information from our program team

  • Post payment, fee receipt & enrollment letter – please submit evidence of payment at invoice@euglobal.edu.eu

  • Studies Begin – Mostly all Online Programmes begin on 1st working day of the month, but please check programme related variation. On-Campus programmes, if offered, begin on stipulated months.
  • Enrolment Letter

    The student gets copy of invoice and and enrolment letter.

    Studies begins first working day of the month, when the access of e-campus and induction documents will be emailed to the student.

    Followed the induction and e-campus access, the students will be introduced to the students success manager in live induction session within first 9 days of the study, the schedule of the live online induction session will be pre-announced.