DataScience
Transform data into actionable insights with our comprehensive data science program. Master statistical analysis, machine learning, and big data technologies to drive business decisions.
Analytics
Predictive Models
Big Data
Hadoop & Spark
Tableau & Power BI
Data Visualisation
What You'll
Master
Core Competencies
Technical Skills
- Python & R Programming
- SQL & NoSQL Databases
- Hadoop & Spark
- Tableau & Power BI
Career Outcomes
- Data Scientist
- Data Analyst
- BI Analyst
- ML Engineer
The Programme Structure
List for Modules
IT Programmes & Programming
10 ECTS
Distributed Computing Systems
10 ECTS
Research Techniques and Professional Development
10 ECTS
Dissertation
30 ECTS
Programme
Director
Dr Theodosis Mourouzis
PhD in Information Security, University College London
Dr Theodosis Mourouzis holds a PhD in Information Security from University College London and degrees in Mathematics from the University of Cambridge. His expertise spans cryptography, blockchain, data science, and AI.
He is an Industry Associate at the UCL Centre for Blockchain Technologies and a mentor at the Judge Business School, University of Cambridge, and London Business School. He also serves as CEO of Electi Group and has advised organisations including the European Central Bank and government institutions on cybersecurity and emerging technologies.
Professional Development by Delivery Model
Each includes optional professional certification pathways aligned with its focus and target profile.
| Feature | Professional Delivery | Executive Delivery |
|---|---|---|
| Target Profile | Data Analysts, Data Engineers, BI Developers | Analytics Managers, CDOs, Data Strategy Leaders |
| Focus | Applied data analytics & engineering | Strategic data governance & business intelligence leadership |
| Certification Alignment |
|
|
| Skill Orientation | Data pipelines, analytics, visualization, statistical modeling | Data strategy, governance, enterprise analytics leadership |
| Career Orientation | Technical career progression & employment mobility | Strategic leadership & executive positioning |
| Certification Exams | Optional – administered by vendors | Optional – administered by vendors |
Professional certifications are optional and are delivered independently of the accredited MSc programme. Examination registration and eligibility requirements are determined by the respective certification bodies.
Admission
Requirements
Academic Requirements
- A Bachelor's degree (MQF Level 6) in Computer Science, Information Technology, Engineering, Mathematics or a related technical discipline from a recognised institution.
- OR
- A Bachelor's degree in another field with evidence of relevant IT knowledge or bridging studies (e.g., a Level 6 diploma in computing or an equivalent qualification).
English Proficiency
Proficiency in English equivalent to CEFR Level B2 or higher is required for all learners whose prior education was not delivered in English. Accepted evidence includes:
- IELTS: Minimum overall score of 6.0
- TOEFL iBT: Minimum score of 78
- Internal placement test
- Waived for learners whose prior education was delivered in English
Ready to Transform Data into Impact?
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